bluuebunny/crossref_metadata_2025_split huggingface dataset:
MIM Waveguide Coupled Resonator Sensing System in the Background of New Energy
Authors: Liu Jilai , Zhang Xiaoyu , Shen Lifang , Zhu Chuanhui , Yan Shubin 
Published: February 2023

Abstract
In this article, we design a MIM waveguide-coupled resonator system. This resonant cavity has a semicircular ring cavity with the square cavity (SRSC). The effect of that Fano phenomenon on this sensing property on this system is explained in detail by using the finite different time domain method and finite element analysis method. This sensor was analyzed by COMSOL Multiphysics 5.4a simulation software to explore the influences of the structural arguments to the sensitivity. After structure optimization, a sensitivity of the sensor can reach 1640 nm/RIU, and the figure of merit (FOM) of this system is 41. This has great application prospects in the field of integrated optical circuits and biosensing.
Research on Gamma Spectroscopy System While Drilling Based on DSP and FPGA
Authors: Zhang Jianfeng , Yang Zhen , Li Yonghua 
Published: February 2023

Abstract
The traditional gamma energy spectrum measurement system performs filtering, shaping, amplification, baseline recovery, stacking discrimination, peak hold, and low-speed ADC sampling on the pulse signal output by the gamma-ray detector. It generates energy spectrum curves. There are problems such as large dead time and pulse signal accumulation. A high-speed digital processing chip (FPGA) and a high-speed ADC are used to perform full pulse sampling on the amplified ray pulses directly. The high-speed digital processing chip (DSP) directly realizes the pulse signal recognition, which remarkably improves the efficiency of signal acquisition and is very suitable for developing the drill gamma spectroscopy system. Scholars have studied the pulse digital Gaussian shaping algorithm and the trapezoidal shaping algorithm in gamma-spectroscopy while drilling to explore this phenomenon. In this case, a gamma-ray spectrum measurement while drilling system based on DSP and FPGA is designed. It realizes the functions of full-pulse high-speed sampling and energy spectrum curve generation for the narrow pulse signal input to the detector. It also converts the energy spectrum curve. It is transmitted to the host computer through the serial port for energy spectrum analysis.
Study on Calculating Method of the Super-transient Reactance of Permanent Magnet Motor and Analysis of Influencing Factors
Authors: Shi Bin , Guo Yujing 
Published: February 2023

Abstract
This paper takes a salient pole permanent magnet wind generator as the research object and summarizes the calculation method of its super-transient reactance parameters. The analytical method and parameter identification method are selected to analyze the influencing factors of the direct axis super-transient reactance parameters. Finally, the variation law of direct axis super-transient reactance parameters with the number of parallel branches, short pitch ratio, and diameter of damping windings is obtained, which provides a certain reference for the dynamic performance evaluation of permanent magnet motors.
Analysis of the Influence of Distributed Generation on Distribution Network Voltage
Authors: Zhang Xiuqi , Guo Kai , Wang Liqiang , Cong Yu , Wang Qi 
Published: February 2023

Abstract
This paper introduces the development and application background of distributed generation and analyzes its technical characteristics. According to the relationship between distributed generation and traditional distribution networks, the models of different types of distributed generation are equivalent to PQ, PI, PV, and PQ (V) nodes. Besides, this paper analyzes the impact of distributed generation on the voltage of the distribution network from the perspective of position and capacity. It points out the direction for further research.
Study on the method of detecting oil pipeline clogging by fluid oscillation theory
Authors: Zhu Sha , Xu Ying , Zu Chunyang , Li Yuexiang , Yu Zifeng 
Published: February 2023

Abstract
In order to solve the problem of pipeline clogging detection, a mathematical model of pipeline clogging detection is established by applying fluid oscillation theory. The amplitude of each component harmonic in different periods is expressed by Fourier series, and then the clogging attenuation parameters of each harmonic are obtained. According to the ratio of harmonic of two separate components and the plugging attenuation parameter, the plugging position and magnitude are determined respectively. Through the analysis of numerical simulation and experimental results, it can be concluded that the method of using fluid oscillation theory to detect pipeline blockage is correct.
Experimental study of static wind force on typical substation post disconnect switchgear three-post structure under different wind angles
Authors: Li Peng , Liu Sikai , Liu Huibin , Cheng Yongfeng , Liu Bin , Gao Chunhui , Zhang Xinwei , Liang Jiayu , Huang Huaizhong , Liu Qian 
Published: February 2023

Abstract
As a wind load-sensitive structure, the wind characteristics of typical post-disconnect switchgear in substations are of great significance to the design of the wind resistance of the structure. To study the static wind characteristics of the three-post structure of post-disconnect switchgear, this paper conducts high-frequency force balance (HFFB) wind tunnel tests on the three-post model of post-disconnect switchgear and obtains information on the variation law of the static wind force coefficient of the model with the wind angle and the most unfavorable wind angle. The results show that the model drag coefficient, combined force coefficient, and skewed wind load factor are M-shaped and symmetric at about 90° under different wind angles, and the most unfavorable wind angles are 60° and 120°; the lift coefficient and torsional moment coefficient are antisymmetric about 0°, and the overall values are small. In general, the model is mainly subjected to along-wind static wind force, and the static wind force distribution is influenced by the skewed wind and changes uniformly. The model mainly produces a bending effect under the action of static wind force, and the torsion effect is not obvious.
Research on accurate thermal network calculation model of modular permanent magnet motor
Authors: Guo Yujing , Xu Ruihai , Liu Xipeng 
Published: February 2023

Abstract
This paper proposes a thermal network model for calculating the modular permanent magnet motor’s temperature rise. Analyzing the actual heat flow path of motor Joule loss and considering the circumferential heat conduction of winding, the local three-dimensional thermal network model of winding is constructed. Based on the model, the motor parts’ steady and dynamic temperature rise is calculated and verified by the FEM. The thermal network model also applies to motors with short winding ends and complex stator yokes.
Multi-objective Optimization Method for Hybrid Energy Storage Capacity of Wind Farm Based on Source-load Interaction
Authors: Li Wenwei , Zhu Long 
Published: February 2023

Abstract
The traditional method for multi-objective optimization of a wind farm’s hybrid energy storage capacity does not fully consider the impact of source-load interaction on wind power consumption capacity, resulting in a high total system operation cost. Therefore, a multi-objective optimization method for the hybrid energy storage capacity of the wind farm based on source-load interaction is proposed. According to the topological structure of the system, a multi-objective optimization model is constructed. The constraint conditions of the optimization model are studied. By synthesizing the constraint conditions, multiple objective functions are aggregated into a single objective function. The model is solved by using the ordinal optimization theory to get the optimal solution of the objective function. The experimental demonstration adopted the proposed method to improve the wind power system’s energy storage capacity. The results show that the operation cost of the system is lower after the proposed method is adopted to improve the wind farm’s hybrid energy storage capacity. Therefore, it can be proved that the total operation cost of the system can be decreased by integrating the interactive load into the hybrid energy storage optimization’s wind farm capacity.
Research on Power-Frequency Overvoltages of 220 kV Offshore Cable Transmission System in Liaoning Province
Authors: Duan Wei , Gu Borui , Kong Minru , Li Han , Pu Lu , Zhao Xuefeng , Ju Zeli 
Published: February 2023

Abstract
Since power-frequency overvoltages can influence the safe operation of the submarine cable transmission system greatly, it is indispensable to calculate the overvoltages that may occur during actual situations. In this study, the power-frequency overvoltages of the offshore oil-gas field group’s submarine cable transmission system are calculated through PSCAD/EMTDC. Among the different conditions considered, the maximum power-frequency overvoltage is 1.134p.u., which occurs in the case of single-phase fault earthing at the cable joint in L4. The result fulfills the limit of relevant regulations for the 220 kV transmission system, indicating that the submarine cable transmission system can operate safely and effectively, which can provide important guiding significance for the construction and operation of the system.
Net Power Prediction for High Permeability Distributed Photovoltaic Integration System
Authors: Cao Huafeng , Yang Liu , Li Hu , Wang Kun 
Published: February 2023

Abstract
The large-scale grid-connected access to distributed PV power generation has posed a great challenge to the new power system. Distributed PV power output and power load have strong uncertainty and volatility, which increases the difficulty of distribution network net power prediction to a certain extent. To improve the prediction accuracy of distribution grid net power, the paper proposes a combined distribution grid net power prediction method based on XGBoost and RBF neural networks. The combination of the two neural network algorithms into the power prediction model makes up for the lack of learning ability of the single neural network model for the input features of net load prediction, and can greatly improve the generalization ability and prediction accuracy of the model. The experimental results show that the described method improves the net power prediction accuracy of the distribution network and outperforms the comparison model.
Resilience enhancement strategy of multi-energy coupling distribution network considering movable energy storage equipment
Authors: Dou Zhenlan , Zhang Chunyan , Dai Renjie , Wei Siming , Zhang Jihang , Wang Lingling , Jiang Chuanwen 
Published: February 2023

Abstract
With the deepening of energy transformation, multi-energy coupling has become an effective method to alleviate the energy gap and improve the energy utilization rate. As a bridge connecting users and the power system, the distribution network is becoming multi-energy coupling as well. Therefore, to ensure a stable supply of power, heat, and other energy sources, it is of great significance to study the resilience improvement of multi-energy coupling distribution networks. This paper proposes a strategy for improving the resilience of multi-energy coupling distribution networks considering movable energy storage equipment (MESS) configuration. Firstly, the multi-energy coupling distribution network model is established, and the mathematical model of each piece of equipment is established considering the coupling of the power grid and heat grid. Secondly, based on the loss of load probability (LOLP), considering the importance of the load, it is expanded to the loss of important load probability as an index to evaluate the resilience of distribution networks. Thirdly, a distribution network resilience improvement model based on the configuration and operation of the MESS is established, and the optimal configuration capacity and operation strategy of the MESS is solved by taking the minimum operation cost as the objective function, i.e., the configuration cost of the MESS, the load shedding cost and the cost of wind and PV abandonment. Finally, based on the IEEE-33 node distribution network, a multi-energy coupling distribution network model is built, which verifies that the method proposed in this paper can effectively reduce the total cost and improve the resilience of the multi-energy coupling distribution network.
Tuned Mass Damper Design of Substation Post Switchgear in Gale Area
Authors: Cheng Yongfeng , Huang Huaizhong , Li Peng , Gao Chunhui , Liu Huibin , Liu Bin , Liang Jiayu , Liu Qian , Liu Sikai 
Published: February 2023

Abstract
Post switchgear of substation in a gale area is a typical wind-sensitive structure. In order to reduce the wind-induced response of substation post switchgear in a gale area, in this paper, according to the theoretical formula of the optimal frequency ratio and the optimal damping ratio of TMD given by Den Hartog, a tuned mass damper (TMD) is proposed to reduce the vibration of the first-order vibration mode outside the plane of the structure. The Simulink simulation model of the simplified structure with TMD is established and the fluctuating wind speed of the equipment is simulated by the Kaimal wind speed spectrum. The wind vibration control effect of TMD is checked, and the rationality of the TMD design is verified.
Analysis of the Impact of Carbon Emission Trading Mechanism on the Electricity Market under Dual Carbon Targets
Authors: Guiyuan Xue , Yin Wu , Wenjuan Niu , Chen Chen , Xiaojun Zhu , Jian Tan 
Published: February 2023

Abstract
To achieve the goals of sustainable development and energy conservation and emission reduction, a model is constructed through system dynamics to explain the mechanism of the carbon emissions trading system and analyze the impact of the carbon emissions trading system on China’s electric power based on analyzing the relationship between the carbon market and the electricity market. The role of the market and the simulation of its policy effects it. The results show that the carbon emissions trading system has an impact on the on-grid electricity price, the installed capacity of renewable energy, and the installed capacity of thermal power generation in China’s power market. The establishment of a reasonable carbon emissions trading mechanism will have a positive impact on the development of China’s electricity market, which plays a long-term and effective role.
A Framework Design to Improve the Operation Capability of Cyber Security for Electric Power Dispatching and Control Systems based on the Concept of SOC
Authors: Li Xiaomeng , Zhao Jingcheng , Cao Yaofu , Liu Junwen , Yan Junlu , Li Huimin 
Published: February 2023

Abstract
Benefiting from the vision of the Security Operation Center (SOC), this paper proposes a construction plan for a cyber security operation center for the electric power dispatching and control system. This solution integrates and analyzes various data such as ledger database, knowledge database, and historical alarm database in the power dispatching and control system, and realizes the functions of alarm handling, risk assessment, and emergency response for the existing security management platform. Through the risk evaluation experiment, it is verified that our scheme has the function of overall interacted active security defense, and can effectively improve the cyber security risk resistance of the power dispatching and control system.
High-precision Positioning Method for BD3 System Based on Adaptive Optimization
Authors: Yu Zhiwen , Chen Zhiwei , Zheng Wenjie , Zhao Ruifeng , Xu Zhanqiang 
Published: February 2023

Abstract
It is of great significance to locate faults quickly and accurately in power distribution system to improve system reliability and recover quickly. With high positioning accuracy, strong anti-interference ability in mountainous areas and cities, and the ability to provide all-weather and all-round services, the BeiDou-3 (BD3) navigation satellite system has broad application prospects in power systems. Using the filtering principle of normalized least mean square (NLMS) filter, a high-precision positioning method for BD3 system based on adaptive optimization is propose to eliminate the pseudo-range error caused by electromagnetic interference. Simulation results show that NLMS-based adaptive pseudo-range filtering method can availably decrease the pseudo-range error caused by high proportional electromagnetic interference in the power system, achieve adaptive optimization of power system device positioning, and improve positioning accuracy.
Circuit Breaker Identification Based on SSD
Authors: Li Yuhuan , Yang Fan , Li Yan , Tan Changshu , Liu Zijun 
Published: February 2023

Abstract
The circuit breaker is a device that cuts off and connects the load circuit in the power system, cuts off the fault circuit, prevents the accident from expanding, and ensures safe operation. Detecting circuit breaker failures is necessary to ensure power systems’ safety. Before fault identification, the circuit breaker must be identified and positioned first. In this paper, a circuit breaker identification technology based on SSD is adopted, and SSD is used to identify the circuit breaker and mark the voltage name quickly.
The strategy of VSG rotational inertia adaptive inverter dual-output seamless shore power connection
Authors: Fan Huaigu , Xiao Leming , He Yumin , Yang Hewu 
Published: February 2023

Abstract
This paper introduces the seamless power supply of the inverter dual output virtual synchronous generator(VSG) model based on the characteristics of ship generator grid connection and transfer load. By establishing VSG mathematical model, it introduces the advantages and deficiencies of VSG adaptive control of inertia (ACI), and the improved adaptive control of inertia(IACI) is proposed. Then, the setting method of VSG frequency tracking coefficient, rotational inertia and other parameters is given. Finally, we provide experimental proof for the ACI and IACI control effects.
Dynamic Equivalent Software Design for AC/DC Hybrid Power System
Authors: Huang Guanbiao , Su Yinsheng , Wang Changxiang , Zhao Ligang , Zhou Tinghui , Zhen Hongyue , Xu Yuan , Mao Zhenyu , Tu Sijia 
Published: February 2023

Abstract
This paper proposes a new software design method of dynamic equivalents for the AC/DC hybrid power system. First, some critical issues of dynamic equivalents for the AC/DC hybrid power grid have been intensively investigated. Then, in consideration of the function requirements, this paper builds a general framework for the dynamic equivalent software, which follows the design routine of the separateness of modules and data switching, and flexible extensibility. Finally, a new software tool for dynamic equivalents is developed with OOP technics and unified modelling, and a case has been studied to validate the performance of the newly developed software.
A Model Predictive Control Method for Efficiency Optimization of Permanent Magnet Synchronous Motors
Authors: Wang Tianyi , Li Haitao , Zhang Zhenbin 
Published: February 2023

Abstract
As one of the important forms of AC motors, permanent magnet synchronous motors (PMSM) are widely used in wind power generation systems, new energy vehicles, and other fields. To improve the operating efficiency of PMSM, a new model predictive control method considering controllable losses is proposed. After building the PMSM loss model, an accurate variable prediction method is derived. By incorporating the controllable loss prediction value into the cost function, the system operation efficiency is dynamically improved. Moreover, this method configures a weight coefficient for the loss penalty term, to obtain a trade-off between efficiency and transient time. The simulation results show that the efficiency, stator current THD, and MTPA capability of the proposed method are superior to the traditional model predictive control method.
An N-1 security analysis method of distribution network based on minimum isolation area information matrix
Authors: Gao Lingjun , He Huaqin , Wu Canxiong , Zeng Weiwei , Chen Yaodong , Zhang Wei 
Published: February 2023

Abstract
To solve the problem of fast online analysis of distribution network operation safety, an N-1 security analysis method of distribution network based on minimum isolation area information matrix is proposed. Firstly, the minimum isolation area information matrix model is established to describe the switch and distribution transformer information in the minimum isolation area of all feeders in the distribution network. Then the real-time load information matrix of the minimum isolation area is used to determine the total load to be transferred downstream of the fault. Secondly, the active power margin of the switch in the load transfer path is described by the load transfer path switch information matrix and the switch capacity information matrix. Finally, the recoverable power supply downstream of the fault area is analyzed by comparing the minimum margin information matrix and the total transfer load. This method can quickly realize the N-1 safety analysis of the distribution network and identify the minimum isolation areas and weak links that do not meet N-1. It can meet the needs of on-site, real-time online calculation and analysis.
Distributed state estimation method of distribution networks based on LSTM
Authors: Jiang Sicheng , Yang Shuhang 
Published: February 2023

Abstract
In this paper, long-short-term memory (LSTM) is introduced into the distributed state estimation (DSE) method, and the state prediction value obtained by LSTM is used as the new measurement in each sub-area. The state prediction value obtained by LSTM is used as a sign to judge whether the measurement in each sub-area at the current time is abnormal, which avoids unnecessary bad data detection when the measurement is normal. Through the simulation of IEEE33 bus distribution network system, it is verified that the proposed method can effectively identify bad data and has high computational efficiency.
Application Analysis of Low-voltage Storage and Charging Integration Cabinets in the Pilot Program of Guesthouse in Zhangjiajie City
Authors: Liu Kai , Nie Bin , Zhuo Jiaquan 
Published: February 2023

Abstract
Based on a guesthouse in Zhangjiajie as an example, this paper carried out the installation, design, and pilot construction of low-voltage storage and charging integration cabinets to construct the new courts-level power system. In doing so, it also analyzed the regulating effect and efficiency measurement of integrated energy storage systems in the new low-voltage and courts-level power system during the sharp, peak, shoulder, and off-peak periods of the guesthouse, so as to provide a reference for more innovative practices and application of the storage and charging cabinets, and put forward the commercial promotion mode of these cabinets suitable for guesthouses in Zhangjiajie.