bluuebunny/crossref_metadata_2025 huggingface dataset:
Experimental Study on Combustion Optimization of Supercritical 600MW Quadrangle Tangential Boiler
Authors: Wang Ke , Song Youli
Published: February 2023

Given the problems existing in the operation of supercritical 600MW boiler, such as spiral pipe water cooling wall outlet, superheater and reheater wall surface overtemperature easily, the superheater and reheater cooling water amount are too large under high load, and the low load cooling water amount is too small to meet the need of cold reheater heating, the boiler combustion optimization and adjustment are carried out. Through the boiler pulverized coal fineness, air distribution characteristics, swinging Angle of burner and furnace outlet is optimized, such as oxygen level superheater heating surface overtemperature problems are solved, such as the reheater desuperheating water flow under different load can meet the needs of heat supply, at the same time, it also improves the boiler efficiency, effectively improve the safety and economy of the unit.
Effect of Temperature and SO2 on Mercury Removal Performance on a Ce-Cu/Al Catalyst in Low-Temperature Flue Gas
Authors: Zhang Weiyi , Hu Changxing
Published: February 2023

The effects of flue gas temperature and SO2 content on the catalytic oxidation of 2Ce-4Cu/Al catalysts for cooperative control of Hg0 and NO were investigated. The results show that the optimum activation temperature is 200°C. And when the concentration of SO2 in the gas reaches 600ppm, the comprehensive conversion efficiency of Hg0 and NO is optimal, the conversion efficiency remains above 70%. The results of the catalyst analysis before and after the reaction show that both lattice oxygen and chemisorption oxygen are involved in the reaction. Cu and Ce have a cooperative reaction on the catalyst surface. The interconversion between Ce and Cu ions of different values contributes to the formation of surface lattice oxygen, which promotes the Hg0 catalytic oxidation reaction and NH3-SCR reaction.
A Two-layer Optimization Model for Energy Storage System Configuration Considering Life Cycle Cost
Authors: Wang Xueying , Peng Dong , Zhao Lang , Xue Yawei , Lin Keyao , Hong Juhua
Published: February 2023

For solving grid voltage fluctuation as a result of the increase of renewable energy penetration, a two-layer optimization strategy considering the life-cycle cost and benefit is proposed. First, a model of life cycle cost-benefit is established to calculate various costs and benefits of energy storage. Then, the combination of genetic algorithms is determined, which is applied to the inner and outer layers. Finally, the proposed optimal configuration strategy is simulated with a Benchmark low-voltage microgrid. The example is given to verify the effectiveness of the proposed method.
Influence Analysis of Photovoltaic Output on Harmonics and Flicker under Extreme Weather Conditions
Authors: Wang Hui , Hu Guo , Dai Shenjian , Zhou Cheng , Cao Zitao
Published: February 2023

To solve the influence of photovoltaic connected to the station on the power quality of the low-voltage distribution network under extreme weather conditions, the two key points of harmonic and flicker are researched, and the analysis model of harmonic and flicker of the low-voltage distribution network is established according to the characteristics of the low-voltage distribution network in the station area. The characteristics of harmonics and flicker in low-voltage distribution networks with photovoltaic grid-connected inverters as grid-connected interfaces are studied in this paper. Through simulation, it can be concluded that the meteorological factors in the operating environment of distributed grid-connected photovoltaic power supply will have a certain impact on the harmonics and flicker of the low-voltage distribution network in the station area. The main reason is that extreme weather affects the output of the photovoltaic power supply, and the reduction of the PWM duty cycle under low output conditions leads to a significant increase in the number of odd harmonics. At the same time, the low output operation condition also leads to the occurrence of flicker. Finally, a method of controlling the generation of harmonics and flicker by using BP artificial neural network to predict the photovoltaic output and optimize the operation of photovoltaic is proposed. This method has certain practicability for improving the power quality of distributed photovoltaic power supply after connecting to the low-voltage distribution network in the station area.
Analysis of Power Failure Causes and Optimization Strategy of Valve Control System in Flexible DC Transmission Project
Authors: Xiao Kai , Wang Zhen , Zou Yansheng , Liang Ning
Published: February 2023

Kunliulong DC project is the first UHV hybrid multi-terminal DC project in the world. The reliability of its valve control system is directly related to the operation stability of the DC project. This paper analyzes the DC trip event caused by the power failure of the pulse box of the valve control system, determines the root cause of the event, proposes the rectification measures based on the accident causes, and carries out the test verification. The proposed scheme has been successfully applied to the Longmen converter station of the Kunming Liulong Project. The conclusions and measures in this paper have important reference significance for the design of the valve control system of flexible and direct engineering and for guiding the engineering practice.
The Effect of Installing Temperature Stratifiers in PV/T Systems on Their Power Generation Efficiency Increases under Different Climatic Conditions
Authors: Xu Peiyuan
Published: February 2023

With the advent of the energy crisis, more comprehensive approaches to solar energy use are gaining traction, such as the Photovoltaic/Thermal (PV/T) system. The goal of this research is to determine the power efficiency increase of the PV/T system brought about by the temperature stratifier installed in the thermal tank. This PV/T system consists of two parts: a plate PV cell with a glazing cover and a water-cooling system with a thermal tank. In this paper, an optimization method for cooling systems is presented. A temperature stratifier is installed in a thermal tank to create a temperature stratification in it. The water in the lower layer becomes colder, which leads to a better cooling effect of the cooling system and increases the power generation efficiency of the photovoltaic cell (PV cell). The optimization of the above system is verified by mathematical modeling, and it is found that this method can indeed optimize the power generation efficiency of the PV/T system. The efficiency increase can reach more than 3%, and a comparison of the results for different climatic conditions leads to the conclusion that PV/T systems installed with temperature stratifiers will gain relatively more in cities with higher average ambient temperature and solar irradiation, while the effect of wind speed on this increase is limited in non-extreme cases.
Application of Feature Extraction Method Based on Empirical Fourier Decomposition in Rotor Rub-impact Fault
Authors: Hai Zhichao , Chen Xueliang , Li Qiurui
Published: February 2023

This paper provides a feature extraction technique primarily by using empirical Fourier decomposition (EFD) to reveal the time-frequency features of rotor rub-impact fault. The Hilbert transform estimates the instantaneous frequency (IF) and instantaneous amplitude (IA) of the signal generated by EFD. Finally, high-quality time-frequency representation (TFR) is reconstructed by the adaptive time-frequency spectrum (ATFS). An example of the rotor rub-impact fault is utilized to demonstrate efficiency of this technique, and the results are contrasted with those of empirical mode decomposition (EMD). EFD performs better in the modal mixing problem than EMD and has excellent decomposition efficiency. It realizes IF feature extraction and offers a more precise TFR.
A novel model predictive control strategy of D-PMSG wind turbine systems for LVRT based on two-state unloading resistance and super capacitor
Authors: Li Junda , Zhang Zhenbin , Yang Xinliang
Published: February 2023

For low voltage ride through (LVRT) of the wind power generation system, rotor energy storage and super capacitor are promising options. When the rotor energy storage cooperates with the super capacitor for LVRT, the DC voltage will undulate violently due to the speed fluctuation. To solve this problem, a crowbar circuit topology and its control strategy including unloading resistance and super capacitor are proposed in this paper. During the process of LVRT, the super capacitor and resistor absorb energies together. In doing so, the DC bus voltage fluctuation will be suppressed by changing the value of the unloading resistance. The proposed method can effectively reduce the power of the unloading resistor and the capacity of super capacitor, and further decrease the hardware cost. By adding the penalty term of the current change rate to the cost function using the model predictive control method (MPC), the DC bus voltage fluctuation is reduced with the realization of rotor energy storage. The control performances of the proposed LVRT strategy are validated through simulation results.
Power Limiting for Battery Manage System based on Event-triggered mechanism with stationary leaders
Authors: Xu Qingpeng , Fang Xiaohan , Fan Yuan , Cheng Songsong
Published: February 2023

In this paper, the power constraints of battery energy storage systems(BESS) are considered by designing a cooperative consensus algorithm utilizing Soc containment control. For batteries of different capacities, power constraints and Soc balancing can be achieved under undirected topology and containment control. The distributed event-triggered mechanism is adopted to reduce communication time and consumption of communication resources. In the last section, the effectiveness and stability of the designed control strategy are verified by MATLAB simulation.
Heat Transfer Simulation and Analysis of Electron Collector Based on Real-time Uniformity Detection Device of Irradiation Accelerator
Authors: Zhang Gefei , Yuan Jushigang , Pang Shiqiang , Huang Jiang
Published: February 2023

Beam scanning uniformity is an important parameter of electron irradiation accelerators, which affects the quality of irradiated products. Accurate measurements of beam scanning uniformity are required to evaluate accelerator performance. Currently, a set of devices is being developed to measure beam scanning uniformity under full beam conditions. However, the measurement device faces serious heating problems when the beam power is large. In this paper, the cooling structure of the electron collector is designed for the developed measurement device. The temperature distribution of the electron collector is simulated by ANSYS. The appropriate cooling flow rates are selected to ensure the thermal stability of the device when the total beam powers are 30 kW and 50 kW, respectively. The electron collector with a cooling structure is fabricated according to design parameters, and the experiment is carried out under a 1.5 MeV accelerator. The temperature is monitored by an infrared thermometer. The results show that the measured temperature is below the limit. The designed cooling parameters effectively solve the heating problem.
Three-dimensional Tidal Dynamic Characteristics and Tidal Current Energy Evaluation in the Southern Sea Area of Hainan Island
Authors: Huang Huiming , Huang Xiantao , Li Siqi
Published: February 2023

Tidal current energy is a kind of marine renewable energy. It has broad application prospects. In this paper, a three-dimensional tidal current numerical model was established, and the model was verified by the measured data of the tide level station. Based on the numerical model, the tidal current feature and tidal current energy distribution were accurately simulated and analyzed in the southern sea area of Hainan Island. The results showed that the annual average velocity of the current was evenly distributed among the space in the study area. But the annual cumulative time of typical velocity in different sea areas was different in space. C2 had more accumulative time for the low-velocity range (<0.4m/s) of the surface, while C1 had more accumulative time for the low-velocity range (<0.3m/s) of the water depth of 8.5m. C3 sea area had more accumulative time in the high-velocity range at the surface (0.4~2.0m/s) and water depth of 8.5m (>0.3m/s). And the area with the highest annual average tidal current energy density at the water depth of 8.5m was C3, which is up to 128.40w/m2. C2 sea area had the smallest energy, only 62.63w/m2. Compared with C1 and C2 sea areas, the C3 area should be developed emphatically when developing tidal current energy resources in this sea area.
Assessment Method for Demand Side User Response Potential based on Game Theory and Information Value
Authors: Liu Wei , Wang Chaoliang , Li Yilong
Published: February 2023

An accurate assessment of user demand response potential is helpful for power companies or load aggregators to rationally call demand-side resources, improve the implementation effect of demand response, and reduce the peak-valley load difference of power systems. This paper proposes a new approach based on game theory and information value to evaluate the response potential of demand-side users. Firstly, the evaluation index system of user response potential is established based on user history behaviors, user basic information, aggregator’s incentive to users, and user’s information value. Secondly, based on game theory, the total of subjective and objective weights is integrated, and the game solution of evaluation index weight is obtained. Finally, the user potential assessment results are quantified based on the fuzzy optimization set pair analysis theory to achieve an accurate online assessment of the demand-side user response potential.
A Study on the Corrosion Behaviour and Mechanism of Associated Gas on Surface Pipes in Fire-flooding Oil Recovery
Authors: Zhou Lifeng
Published: February 2023

The fire-flooding associated gas in Liaohe Oilfield contains a mixture of gases, of which O2 and CO2 will interact with each other and corrode surface pipes. In this paper, the corrosion rate of different pipe materials in descending order is 20# steel>20G steel> L360 steel>L245 steel by weight loss method, painting, and chrome plating can reduce the corrosion rate. In combination with SEM, EDS, XRD and other means to analyze the corrosion mechanism of the CO2-O2 coexistence system, a loose and porous Fe(OH)3 film is formed on the surface of the material. After removing the corrosion products, needle-shaped pores with different diameters appear, indicating serious pitting corrosion. The corrosion products are composed of Fe and O elements, mainly the dehydrated products FeOOH and Fe2O3.
Research on active disturbance rejection control of the main steam temperature of supercritical thermal power unit based on improved particle swarm optimization
Authors: Hao Xiaoguang , Jin Fei , Wang Bin , Bao Jiandong , Shi Yijun
Published: February 2023

The stability of the boiler’s main steam temperature is very important for the safe operation of the unit. At present, the mainstream PID control scheme is simple to use and convenient to set, but it cannot accomplish a acceptable ascendancy effect in the face of the main steam temperature control structure; with a long time delay, large inertia. In view of this situation, first of all, this paper introduces the linear active disturbance rejection control (LADRC) technology in a steam temperature control structure. The main loop adopts the linear active disturbance rejection controller and the subloop adopts the P-controller. Then, the particle swarm optimization algorithm is improved and used to modify the parameter of the LADRC, so that the LADRC system adjusted according to the theory can better complete the control task. Finally, a simulation to control the temperature is given, and the results show that the LADRC control system can track quickly and stably; in addition, as against with this traditional PID control strategy, it can achieve strong anti-interference performance.
Research on adaptive control technology of wind power generation based on AI data mining
Authors: Hao Yucheng , Huo Xuesong , Huang Xianming , Li Xiao , Chai Yun
Published: February 2023

This paper introduces the current achievement and control technology of wind power generation industry. By analysing the characteristics and influencing factors of wind power generation, we proposed an ultra-short-term wind power forecasting network structure which can work well in wind power forecasting. Based on the characteristics of the datasets, a variety of mainstream neural network structures are compared, our proposed method is suitable for high volatility series is further developed. The structure integrates CNN, RNN and attention mechanism, which alleviates the problem of prediction curve lag to a certain extent and effectively avoids virtually useless prediction.
Study on heat transfer enhancement of nanofluid in a new type of heat exchangers
Authors: Zhang Liang , Qu Pingping , Jing Yuyan , Wang Wenjie , Yao Xinyue
Published: February 2023

As one of the essential equipment in industrial production, improving the efficiency of heat exchangers to slow down energy consumption has become a popular topic. In this paper, the structure of a conventional fixed tube plate heat exchanger is optimized by numerical simulation, replacing the straight tube with a wavy wall tube. The impact of particle size of Cu-water nanofluid on the performance in the new heat exchanger (HEX) is also investigated. The results indicate that using the wavy wall tube enhances the flow field perturbation and improves the working mass’s flow state; adding nanoparticles in water can improve the heat transfer capacity of the fluid. It is also found that the shell process pressure drops (ΔP) and the heat transfer effect of the HEX increased with increasing of the fluid volume flow rate; at the same volume flow rate and the volume fraction of 0.5%, the ΔP of the Cu-water nanofluid in the HEX increases with increasing of the particle size. The heat transfer performance decreases gradually with increasing of the particle size. The smaller particle size of Cu nanoparticles can improve the efficiency of enhanced heat transfer to a larger extent.
Unsteady characteristics of the diffusion/nozzle tube for valveless piezoelectric micropumps at a lower frequency
Authors: Cai Sheng-Chuan , Dong Min , Sun Wan-Xue , Qi Su-Su
Published: February 2023

In this study, transient flow performance of the diffusion/nozzle tube with diffusion angle of 10° under different Wo numbers was studied using ANSYS CFX software. The purpose of this work is to obtain the factors which influence the flow characteristics of the diffusion/nozzle tube for valveless piezoelectric micropumps under unsteady conditions. A time-dependent sinusoidal pressure is exerted for the entrance as the boundary condition, and the pressure amplitudes P0
are 50Pa, 100Pa, 500Pa, 1000Pa and 5000Pa. The simulation results show that the change of flow lags behind the variation of pressure under unsteady flow conditions. The greater the Wo numbers, the smaller the pressure amplitude P0
, and the greater the phase difference. Both the loss coefficient of pressure in the diffusion ξd
, and the nozzle ξn
increase with increasing Wo numbers, and decrease with increasing P0
. The vortex has a great influence on the flow characteristics of the valveless piezoelectric micropumps.
Measurement and Numerical Simulation of Cylinder Surface Pressure under Different Air Volumes
Authors: Yang Maoli , Wang Ruixin , Zhou Wenping , Liu Xiangshu , Qiang Rui , Huang Fuchuan
Published: February 2023

As a classic research topic of fluid mechanics, the research on the problem of flow around a circular cylinder is essential both from the perspective of academic research and application in the engineering industry. In this paper, the surface pressure of the cylinder is measured by the experimental research on the flow around the circular cylinder, the three-dimensional modeling of the key parts of the experiment is carried out according to the one-to-one size, and the three-dimensional CFD software is used to numerically simulate the velocity field and the pressure field. The research shows that under different air volumes, the relative error between the experimental value and the simulated value of the inlet velocity in the convergence section and the working section is less than 5%. It can be considered that the results of the numerical simulation and the experimental results are within the allowable range. The relative error between the experimental value and the simulated value of pressure is less than 2%, and the numerical simulation results are consistent with the experimental results. It lays a theoretical foundation for the improvement of the flow around the cylinder experiment and its engineering application in the future.
A Hybrid Energy Harvester Based on Piezoelectric and Electromagnetic mechanisms
Authors: Shen Fan , Zhao Li , Zhang Qin , Xin Chuanfu , Gong Ying , Peng Yan , Li Zhongjie
Published: February 2023

This paper presents a hybridization energy harvester (HEH) based on a two degrees-of-freedom (2-DOF) cantilever beam, which combines the electromagnetic effect with the piezoelectric effect. Finite element simulations and some experiments were used to investigate the output of the HEH. For the electromagnetic energy harvester (EMEH), we used an alternating-arranged magnet array to get high electromotive forces. The frequency sweep experiment showed that the resonance frequency of the cantilever beam was about 26.7 Hz which is close to the simulation value, 28.7 Hz. With the increase of excitation acceleration, both piezoelectric and electromagnetic open-circuit voltages increased. The impedance matching experiments of the EMEH and piezoelectric energy harvester (PEH) displayed that the best matching resistors are 35 Ω and 8×105 Ω respectively. In capacitor charging experiments, the maximum voltage of the capacitor (220μF) increased from 0.95 V to 1.63 V by paralleling the EMEH and the PEH. But when the EMEH and the PEH were connected in series, the maximum voltage of the capacitor (220μF) was 4.4 V. Therefore, it is clear that the proposed hybridization energy harvester balances the weakness of electromagnetic and piezoelectric harvesters. Besides, it can also make higher output performance.
Application research of piston wind and vertical axis wind turbine in the subway tunnel
Authors: Wang Zheng , Dou Jie , Qi Susu
Published: February 2023

When the above-ground space is insufficient to meet the traffic demand of people, the advantages of underground rail transit are particularly prominent. It has the advantages of short distance, unobstructed and so on, so it is imperative to develop underground rail transit. When the subway train is running, it will push the air forward. Due to the restriction of the tunnel’s inner wall on the air, a large number of piston winds are formed. Piston wind is harmful to train running and tunnel fire, but its air volume and wind speed are considerable. The vertical axis wind turbine has the advantages of small size and high power generation efficiency. It can be embedded in the inner wall of the subway tunnel, and it will not increase the resistance of the train. It can supply power for small electrical equipment in the subway tunnel.
Research on the development and application of electrochemical energy storage in power system
Authors: Zhang Xiuqi , Wang Liqiang , Yuan Shuai , Cong Yu , He Fang , Li Yong
Published: February 2023

New energy is connected to the power grid on a large scale, which brings some new features. Energy storage plays an important role in supporting power system and promoting utilization of new energy. Firstly, it analyzes the function of energy storage from the perspectives of the power generation side, power grid side and user side, and expounds on the development of electrochemical energy storage. Secondly, it sorts out the relevant policies and technical standards. It points out the main technical challenges in development and application of electrochemical energy storage. Finally it gives suggestions on the development direction.
Rendering optimization method and implementation of power grid WebGIS based on Web Worker
Authors: Zhang Yuan , He Yuan , Wei Wu Hai , Kui Zhang Shou , Tang Xu , Wei Zhang Yao , Shen Fang Cai , Xiao Han
Published: February 2023

In the power grid WebGIS application, the graphical display of power grid equipment is one of the most basic functions. However, the massive data brought by the growing number of power grid equipment brings difficulties to both server-side storage and client-side rendering. Aiming at the characteristics of power grid GIS data, this paper presents a Web Worker-based grid WebGIS rendering optimization method and uses a program to implement it. The method improves the rendering speed of the client and optimizes the display effect by marking the displaying rules after data vectorization, simplifying the line data, generating vector tiles dynamically, and station label dodging. The result of the test shows that this method can effectively improve the fluency and user experience of existing power grid GIS applications.
The Effect of the Fast Frequency Response of the Solar Energy System on the Power System Dynamic Frequency Evolution
Authors: Liu Shaofeng , Wang Maxiang , Li Jicheng , Xu Jun , Xiao Zhu , Wang Hui
Published: February 2023

The existence of a large-scale photovoltaic power generation system without any rotational inertia can deteriorate the frequency stability of the power system. The solar energy storage system consisted of photovoltaic power generation and the energy storage device with fast charge and discharge can provide fast frequency responses to the grid through the power electronics controls, and therefore improve the dynamic frequency security of the low-inertia system. This paper discusses the modeling and fast frequency controls, namely virtual inertia and droop control. The modified WSCC 9-bus system with high photovoltaic power penetration and low inertia serves to show the effects of the solar energy storage system’s fast frequency responses on the frequency evolutions of the new power system. The results show that in the low inertia system with large-scale photovoltaic power generation, the active power droop control of the solar energy storage system can decrease the frequency deviations, but may introduce low-frequency oscillations during the frequency evolution following a contingency; the virtual inertia control can depress both the rate of change of frequency as well as the oscillations during the frequency evaluation.
A High-Sensitivity Refractive Index Nano-Sensor Structure Based on MIM Waveguide
Authors: Liu Pengwei , Yan Shubin , Shen Lifang , Liu Jilai , Ren Yifeng
Published: February 2023

In this review, we engineer a high-performing nanosensor mechanic based on SPPs, which consists of a metal-insulator-metal waveguide coupled with two triangular plates in a double-internal-pile ring cavity (DISRC). The feasibility of establishing the sensor based on SPPs is analyzed theoretically, and the parameters of DISRC are simulated by the finite element method. The best sensitivity of the proposed system is 2640 nm/RIU with a high FOM is 71.4. The sensor is simple in structure, easy to integrate, and takes some advantages of traditional cavities into account. Hence, in other high-sensitivity nano-sensor fields, it has good application prospect and potential.
Research on Safety Risk Assessment Method of Wind Power Enterprises Based on Hybrid Analytic Hierarchy Process
Authors: Ma Yanling
Published: February 2023

With the increase in urban demand for wind power, wind power has become one of the main energy sources for urban production and life. There are many hidden dangers of safety production in urban wind power enterprises in China. Therefore, it is particularly necessary to study the risk evaluation model of urban wind power enterprises. However, the previous evaluation methods seldom consider the impact of risk factors. Aiming at this problem, this paper proposes a fuzzy hybrid AHP evaluation method. Firstly, combined with AHP and network AHP, a hybrid hierarchical structure model of risk evaluation indicators is established, which improves the influence relationship between risk indicators in the index hierarchy model. Secondly, combined with the fuzzy evaluation method, the experimental analysis proves that the model has certain accuracy in the process of practical application.
Analysis of A Few Continuous Ferromagnetic Resonance PT Faults in Power Plants and Improvement Measures of Harmonic-free Suppression Technology
Authors: Yang Yue , Chen Bo , Zhao Xiayao
Published: February 2023

Many vicious faults of burning PT and high-voltage fuse caused by ferroresonance occurred in power plants. Microcomputer harmonic elimination device and silicon carbide harmonic elimination device did not work; particularly silicon carbide harmonic elimination devices burnt together with PT. This paper, enumerating the excitation conditions of PT ferromagnetic resonance, analyzes the circuit characteristics of PT circuit ferromagnetic resonance in the power plant and the power frequency voltage characteristics of the sound phase when the single-phase grounding fault occurs in the neutral point ungrounded system. The defects of the existing harmonic elimination device are summarized, and the technical improvement measures are proposed to add the current-sensitive intelligent harmonic elimination device. Practice shows that this kind of harmonic elimination device can effectively avoid PT bursts and fuse-fusing faults caused by the resonance of the intermittent grounding of the system.
Measurement and Test of Electromagnetic Environment of Power Transmission and Transformation Project Based on Full Humidity Condition
Authors: Zhang Zhuangzhuang , Liu Weipo , Li Yuan , Guo Xing , Tian Xu , Li Haifeng
Published: February 2023

Currently, the power transmission engineering electromagnetic environment monitoring instrument is widely used but cannot realize the power frequency electric field monitoring if the humidity is above 80%. By analyzing the influence factors of the humidity on the measuring instrument, this paper puts forward the power frequency electromagnetic field measurement method in the full humidity condition. The comparison test and data analysis are carried out under different humidity conditions. The distribution characteristic curve of the power frequency electric field is calculated by Maxwell software, and the accuracy of the measured data is verified from the theoretical calculation. The analysis proves that the power frequency electromagnetic field is independent of the environmental humidity, which strongly supports the electromagnetic environment measurement on rainy days of high humidity weather conditions.
State recognition system based on convolutional neural network
Authors: Zheng Jiaming , Tian Jingfu , Yang Fei , Qian Hai , Nan Yang , Wang Miao
Published: February 2023

Identifying the operating status of the switchgear of the electrical cabinet is of great significance to the safety of the substation. Currently, nonintelligent inspections are used, usually manual inspections, to monitor the switch status, which wastes manpower. More serious is that the shortcomings of non-intelligent inspections are false and missed detections, which can seriously damage the power system. Therefore, to reduce manpower and improve detection accuracy, an intelligent switch detection method based on image recognition is proposed in this paper. Firstly, the identification system of the protection board switch is explained. Secondly, the convolutional neural network model is designed, and a data set is made to train the network model parameters. Finally, the switch pictures in the substation are selected as the data set, and the pictures are identified in the experimental part. The experimental results prove that the method can accurately locate the switch area and switch recognition, which proves the feasibility of the proposed method.
Capacity Optimization Method of Electrochemical Energy Storage System Based on Demand Side Response Improved Particle Swarm Optimization Algorithm
Authors: Zhu Jun
Published: February 2023

As the current capacity of the existing electrochemical energy storage system is too low to meet the problem of power supply enterprises’ power equipment operation demand. Therefore, this paper introduces the demand-side response improvement particle swarm algorithm to carry out the research on the capacity optimization of electrochemical energy storage system. According to the operation characteristics of the energy storage system, the charging and discharging model of the electrochemical energy storage system is established; the demand-side response improvement particle swarm algorithm is used to set the capacity optimization objective function of the energy storage system; and the capacity configuration plan of the electrochemical energy storage system is finally completed. By examining the performance of chemical energy storage systems before and after the application of optimization technologies, it’s finished that the capability of the system has been considerably improved when optimization, which might give additional power conditions for additional power instrumentation and promote the development and development of power offer enterprises.
Electric field detection method of 500 kV porcelain deteriorated insulator based on Combination Neural Network
Authors: Dong Kai , Xue Zhihong , Dong Yanwu , Lu Ziqiang , Li Jie , Wu Shaocheng
Published: February 2023

The operation state of insulators is closely related to the safety and reliability of the power network. Affected by the environment, the insulator strings will gradually age and become low-value or zero-value in insulators. Therefore, it is of great engineering significance to correctly and timely detect whether there are faults in insulators. It has a good engineering application prospect to evaluate the insulation condition of insulators by detecting the surface electric field value of insulators. In this paper, the external axial electric field value of the insulator skirt is obtained through finite element simulation, and the combined neural network model is used. Finally, the effectiveness of the model is verified by the measured data. The experimental results show that this method can effectively identify whether the insulator has deteriorated.
Short Circuit Current Algorithm and Software Design Based on IEC60909 Standard
Authors: Huang Guanbiao , Su Yinsheng , Zhao Ligang , Mao Zhenyu , Zhen Hongyue , Tu Sijia , Wang Changxiang , Zhou Tinghui , Xu Yuan
Published: February 2023

With the continuous growth of load and the enhancement of grid structure, the problem of excessive short circuit current has become a key factor affecting the safe operation of the China Southern Power Grid. The comparison of measured data shows that the short circuit current calculation results of China Southern Power Grid are optimistic based on the existing short circuit current calculation method. It brings difficulties to the arrangement of the power grid operation mode. This paper first briefly introduces the calculation principle of the IEC60909 Standard (short for IEC60909 Short Circuit Current Calculation Standard). And based on this standard, an improved algorithm for short-circuit current calculation is proposed. FCAP (short for Fault Current Analysis Program), a newly developed software based on the improved algorithm, is compared with other similar software being popular in domestic and foreign to prove its engineering practical value.
Park Multi-energy Complementary Comprehensive Intelligent Energy Coordinated Operation Optimization Method
Authors: Peng Xiaowu , Qiang Kai
Published: February 2023

To meet the demand of energy supply and demand balance in the park and avoid the problem of waste or insufficient supply in the process of energy supply, the design and research of coordinated operation optimization method of the multi-energy complementary integrated intelligent energy in the park are carried out. According to the park’s function mode and cooling and heating load operation requirements, the optimal configuration of the park’s electrical and photovoltaic access scheme is carried out. The calculation of the energy supply load is a prerequisite to carrying out the adaptive scheduling of the park’s multi-energy complementary comprehensive intelligent energy supply. The power data is integrated and transmitted according to the park’s energy supply and demand balance requirements. When the terminal control module receives the dispatching data, it needs to evaluate the demand response first and then carry out the comprehensive control of energy-coordinated operation according to the evaluation results. The example proves that the optimization method can balance energy supply and demand in practical applications.
Fault Diagnosis of Oil Immersed Transformer Based on the Support Vector Machine Optimized by Improved Fruit Fly Algorithm
Authors: Shi Quan , Lu Qifu , Ran Wang , Fu Ming , Fu Dong
Published: February 2023

The oil-immersed transformer is studied, and the support vector machine (SVM) algorithm is used. The radial basis is selected as the kernel function and is optimized by the improved fruit fly (IFF) algorithm based on the parameter characteristics to diagnose faults. By the simulation experiment, it is concluded that the proposed SVM algorithm optimized by using the IFF algorithm can not only avoid the local extremum problem but also show good generalization ability for small sample data processing, which has development potential in diagnosing power transformer faults.
Time dependent Pinch analysis with sensor data and unsupervised learning algorithms
Authors: Halisdemir U , Dumont Q , Jean-Marie A
Published: February 2023

Heat integration is essential for energy efficiency and operational cost reduction in energy-related applications. Pinch Analysis is a heat integration model that has attracted a lot of attention over the past few decades. Although the method has been successfully applied to many industrial processes, it has also been shown to have many limitations. One of these limitations is that the method only considers the average values of the physical quantities of a process, and therefore is not suitable for studying dynamic processes that undergo variations in their operating conditions. Attempts have been made to improve Pinch Analysis to circumvent this limitation, but they have been found to oversimplify and result in unrealistic solutions. The purpose of this work is to use sensor data and unsupervised learning algorithms to extend Pinch Analysis to dynamic processes. Specifically, we use time series segmentation to detect changes in the process operating conditions and clustering to group similar segments. The approach is applied to a real industrial use case. We compare the performance of heat exchanger network with and without data analysis. The solutions obtained with our methodology improves waste heat recovery by 20% while reducing the cost of the heat exchanger network by 31%.
Performance assessment of solar and desiccant aided building air-conditioning system
Authors: Singh Gaurav , Das Ranjan
Published: February 2023

Indoor thermal comfort significantly influences people’s health, happiness and consequently the output at the workplace. Here, a systematic simulation study on a conventional vapor compression-based building cooling system integrated with desiccant assisted dedicated outdoor air system (DOAS) is performed using EnergyPlus software for warm and humid climate zones. Impact of using desiccant material in the DOAS, on the cooling load requirement of the building, coefficient of performance (COP), and energy consumption of the system is discussed. The building design is well-validated with the available guidelines. Desiccant assisted system supplies dehumidified air inside the building space which affects the evaporator performance. A flat plate solar collector system is used to supply the hot air to regenerate the desiccant material. Electric energy savings in desiccant assisted system can be achieved up to 5.5 %, whereas, the COP of the system is not found to be significantly affected even though thermal load demand reduces by nearly 13.5 % by the proposed modification.
Reliability Optimization Structure of the Stator Under the Short-term Duty with High Load
Authors: Ma Yiguang , Cao Jiwei , Li Liyi , Liu Yuxi
Published: February 2023

Due to the complex operating conditions and high-reliability requirements of special motors, the thermal management technology combining the heat conduction sheet in the slot and the heat absorption of phase change materials outside the slot is used to restrain the winding temperature rise. In this paper, an optimized stator structure is proposed, and the temperature rise analysis model of winding in the slot is established. On the premise that the electromagnetic performance remains unchanged, the temperature rise suppression method of rapid heat transfer in the slot and rapid heat absorption outside the slot is adopted to study and analyze the suppression effect of winding temperature rise under different working conditions.
Hydrothermal liquefaction of waste Al-PE-Pa laminated packaging: Effect of Ni:Ce in Ni10Cex/Al2O3 catalyst
Authors: Wang Yuzhen , Liu Zhuan , Guan Chunxing , Zong Xiuyu , Zhang Pu , Hui Pan , Gong Hao
Published: February 2023

Hydrothermal liquefaction technology was applied for treating waste Al-PE-Pa laminated packaging for bio-oil production at 360 °C, 20 MPa and 30 min. Ni10Cex/Al2O3 catalyst was used to upgrade the quality of bio-oil. The effect of Ni:Ce on bio-oil yield, elements and compounds distributions were investigated. Results showed that the maximum bio-oil yield of 35.53 wt% was obtained with 5 wt% Ce loading. In addition, the O content decreased from 21 wt% without catalyst to 15% with Ni10Ce5/Al2O3 catalyst. The interactions between Ce and Ni facilitate the dispersion of the active metals and promoted the hydrodeoxidation reactions. The main content of the bio-oil produced with Ni10Ce5/Al2O3 catalyst was diesel oil, which mainly due to the accelerated degradation of the long chain C-C bond in paper fibre and PE. This study provided a new approach for waste Al-PE-Pa laminated packaging treatment.
Research Progress on the Point-defect Relaxation in β-Ti Alloys
Authors: Zheng-Cun Zhou , Xiao-Bin Zhu , Jie Du
Published: February 2023

The anelastic relaxation is measured at a low and high frequency from low to high temperature in some Ti alloys, most of which are usually recorded in the internal friction-temperature spectra. In this paper, the point-defect relaxation in β-Ti alloys is described and discussed. The point defects are the interstitial impurity atoms, substitution atoms and vacancies in β-Ti alloys. The reorientation of interstitial impurity O atoms around matrix Ti and substitute atoms produces Snoek-type peaks. The various interactions between the interstitial impurity atoms (O,N,et al.) and matrix atoms/substitute atoms (Ti, Nb,Mo,V,et al. ) can also produce a complex relaxation spectra consisting of several Snoek-type peaks. The concentrations of interstitial impurity atoms and the substitute atoms have important roles on the height and width of the Snoek-type peaks. The reorientation of defect pairs consisting of the interstitial impurity atoms and vacancies is also involved in the relaxation processes. At high temperatures, the Mo-Mo atom-pairs can be reoriented under the inducing of cycle stress and produce similar Zener relaxation peak.
Effect of Al Content on Microstructure and Properties of Cu-14Ni-xAl Alloys
Authors: Huang Zike , Liu Dongmei , Peng Lijun , Zhang Wenjing , Yang Zhen , Xie Haofeng , Mi Xujun
Published: February 2023

This paper focuses on the influence of Al content on the microstructure and properties of Cu-14Ni-xAl alloys, with the mass fraction of aluminum element ranging from 0 to 5% as the object. First, the evolution of Vickers hardness and electrical conductivity of Cu-14Ni-xAl alloys during aging were tested. Then a comparative study of the friction and wear behavior of Cu-14Ni-xAl alloys with different Al contents were studied. The results show that the alloy with Al content of 3% possesses the best mechanical and friction performance, with the hardness of HV 275.0 and friction coefficient of 0.7 in the peak-aged state. Microstructure analysis show that the precipitates are denser and the volume fraction of aging induced precipitates are more in the Cu-14Ni-3Al alloy, compared with that in the other studied alloys. Finally, the correlations between the Al content, microstructure, the mechanical and tribological properties of the Cu-Ni-Al alloys were further discussed.
Study on Defect Evolution of Steel Strip under High-speed Cold Rolling
Authors: Yasin Said Mohamed , Chen Jianjun
Published: February 2023

In this paper the strain rate effect of the material was quantitatively tested by INSTRON tensile testing machine and Zwick/Roell HTM5020 high-speed tensile testing machine. The dimple size of the fracture surface of the tensile specimen was determined and analyzed by using the scanning electron microscope. Based on the Cowper-Symonds constitutive model, the parameters in the dynamic constitutive model and the true stress-strain curve under quasi-static condition were obtained by combining the results of quasi-static and dynamic tensile tests and the finite element numerical analyses. Considering the strain rate effect of the material the effects of cold rolling speed on the evolution of different types of defects were analyzed by the ANSYS/LS-DYNA dynamics code. The results show that with the increasing of crack length and decreasing of crack width, the critical rolling speed decreases. But if the crack length is less than 5 mm and the aspect ratio of crack length to crack width is larger than 5, the critical rolling speed of crack growth can be much large.
Analysis of humidity sensitivity of silicon strip sensors for ATLAS upgrade tracker, pre- and post-irradiation
Authors: Fernández-Tejero J. , Affolder A. , Bach E. , Basso M.J. , Bhardwaj A. , Cindro V. , Dowling A. , Fadeyev V. , Fleta C. , Fournier A. , Hara K. , Howe A. , Jessiman C. , Keller J. , Kisliuk D. , Klein C. , Koffas T. , Kroll J. , Latonova V. , Mahtani K. , Mandić I. , Martinez-Mckinney F. , Mikestikova M. , Nakamura K. , Orr R.S. , Poley L. , Staats E. , Stelzer B. , Suzuki J. , Ullán M. , Unno Y. , Yarwick J. , Zatocilova I. , Zhou Y.
Published: February 2023

During the prototyping phase of the new ATLAS Inner-Tracker
(ITk) strip sensors, a degradation of the device breakdown voltage
at high humidity was observed. Although the degradation was
temporary, showing a fast recovery in dry conditions, the study of
the influence of humidity on the sensor performance was critical to
establish counter-measures and handling protocols during production
testing in order to ensure the proper performance of the upgraded
detector.

The work presented here has the objective to study for the first
time the breakdown voltage deterioration in presence of ambient
humidity of ATLAS ITk production-layout strip sensors with different
surface properties, before and after proton, neutron and gamma
irradiations. A study of the humidity sensitivity of miniature ATLAS
ITk strip sensors, before and after proton irradiations, is also
presented to compare the sensitivity of devices with different
sizes.

The sensors were also exposed for several days to high humidity with
the aim to recreate and evaluate the influence of the detector
integration environment expected during the Large Hadron Collider
(LHC) Long Shutdown 3 (LS3) in 2026, where the sensors will be
exposed to ambient humidity for prolonged times.