bluuebunny/crossref_metadata_2025_split huggingface dataset:
An improved gravitational search algorithm for distributed generation optimization
Authors: Yuan Zeng , Chen Guochu 
Published: August 2021

Abstract
In order to optimize allocation and sizing of distributed generation, this paper puts forward an improved gravitational search algorithm based on particle swarm optimization. For the sake of preventing the gravitational search algorithm from falling into local optimum, mutation is added to the formula of position, and only Kbest particles are searched. The objective function to be optimized is the minimization of the power losses, and the IEEE-33 bus system is adopted to test the efficiency of the improved algorithm. The results indicate that the improved gravitational search algorithm has better convergence accuracy than the basic gravitational search algorithm, and that the voltage of the system can be improved.
Research on night vision distance imaging technology of semiconductor laser
Authors: Wang Zhaoxin , Zhai Yannan , Yang Kun , Gao Ling , Li Jing 
Published: August 2021

Abstract
The semiconductor laser night vision distance imaging system introduced in this paper is an active imaging system with a laser as a light source, forming an image according to the light reflection difference of the target and the background. Compared with the passive imaging system, the active imaging system has the characteristics of strong receiving signal. Under extreme conditions, it can also realize the extraction of image key information of strong reception signal. Under extreme conditions, it can also realize the extraction of image key information through range-gated technology. It is a high anti-interference capability semiconductor laser ranging imaging technology suitable for severe weather and conditions. The system can be used in laser active imaging guidance, unmanned aircraft, guidance systems and other military fields and public security, fire control, transportation and other fields.
Research on Transformer Condition Recognition Based on Acoustic Signal and One-dimensional Convolutional Neural Networks
Authors: Yuchao Ma , Wang Xin , Zhou Wenjin , Xiang Li , Juan Mo , Zhongyuan Zheng 
Published: August 2021

Abstract
To solve the problem of transformer condition recognition, this paper propose a transformer condition recognition method based on acoustic signal and One-dimensional Convolutional Neural Networks(1D-CNN). In order to verify the effectiveness of 1D-CNN algorithm in the field of transformer condition recognition, a platform for acquisition of acoustic signals from a 500 kV transformer is built to carry out the acoustic signal acquisition test for four conditions of the transformer. The acoustic signal data sets are also made, and the 1D-CNN algorithm is used to calculate the recognition accuracy of the transformer conditions. According to test results, 1D-CNN algorithm, as a new structure of deep-learning algorithm, can properly classify acoustic signals of the transformer, and its classification accuracy is higher than those of FFT-BP, SVM, FFT-SAE and other algorithms. In order to explore the internal mechanism of 1D-CNN algorithm, in this paper, a t-SNE visual analysis is also conducted to reveal the performance of 1D-CNN algorithm.
Development of efficient testing algorithm for hydraulic valve group
Authors: Liu Chang , Wang Zhe , Xing Keli , Jin Xiajie 
Published: August 2021

Abstract
Based on the principle of flexible testing technology, the test software is designed hierarchically and modularized. By calling the optimization algorithm of the test process, the automatic combination of the test process and the package call of the basic unit program of the test, the optimal sequencing and flexible configuration of the valve group test process are realized, and the efficiency of the automatic test scheme of the valve group is effectively improved. The test results show that the optimized test scheme can reduce the test time by 14.8% ∼ 34.6% and the test energy consumption by 9.0% ∼ 11.2%.
Optimal dispatch of multi-virtual power plants based on Grey Wolf Optimization algorithm
Authors: Li Yingliang , Zhou Liwen , Gao Zhaodi , He Kun , Cai Heming , Sun Xiyao 
Published: August 2021

Abstract
The day-ahead scheduling of virtual power plant (VPP) is of great significance for the development of distributed generations. To solve the problem of large-scale VPP scheduling, this paper proposes a multi-VPPs optimal dispatching strategy. In this model, the VPP is divided into multiple sub-VPPs, and each sub-VPP scheduled internally. Likewise, the power interaction between each sub-VPP at the contract price is allowed. This model can realize complementary power, and hence maximize economic benefit of VPP and also improve the level of new energy consumption. Then, to solve this nonlinear optimization problem, Grey Wolf Optimization (GWO) algorithm is employed. Finally, the proposed model is tested through a detailed case study, and results demonstrate that the GWO algorithm can improve the computational efficiency.
Research on intelligent somatosensory interaction devices based on virtual reality technology
Authors: Li Xinyi , Gan Baiqiang 
Published: August 2021

Abstract
Contemporary students have developed a dependence on electronic devices and developed the habit of sitting with screens for a long time, which has led to a trend of gradual deterioration of health conditions, declining physical quality and rejuvenation of diseases. Therefore, in this paper, based on the interactive and experiential characteristics of intelligent somatic interactive devices with virtual reality technology, the intelligent somatic interactive device body is improved according to the functions of virtual reality device body shape and experience, based on the handling needs, experiential needs and functional needs, and the educational interactive device experience strategy is designed to meet individual needs for the student group, and through comparison experiments with two groups of students, it is concluded that The interactive device experience strategy proposed in this paper outperforms the comparison group in terms of learning interest, motor interest, psychological anxiety, and emotional communication, verifying the effectiveness of the interactive device experience strategy, thus promoting students' physical health and improving individual physical signs, and also providing reference and learning for researchers engaged in intelligent somatic interactive devices based on virtual reality technology, from form design to development ideas.
Three-dimensional attitude determination using vector observations and optical flow sensors
Authors: Xiang Li , Peng Zhang , Qi Shi , Yanmei Tang 
Published: August 2021

Abstract
Flight control of unmanned aerial vehicle relies on three-dimensional attitude determination, and the most commonly used solution is based on the combination of magnetometer, accelerometer, and gyroscope, namely the MARG sensor. Optical flow sensor is also widely applied on UAV to detect the motion of UAV relative to the ground. In this paper, we proposed a novel method that using multiple optical flow sensors to measure angular velocity. This method utilizes a linear model to resolve both linear and angular motion from the measurements of multiple optical flow sensors. In the case of in situ rotations, experiment results prove that the proposed method can effectively estimate the angular velocity, and it can be used to augment MARG-based attitude determination.
Design of intelligent kitchen waste sorting machine based on Pro/E and Adams
Authors: Jiang Haoyuan , Wang Yuchun , Wu Yuxuan , Li Xurong 
Published: August 2021

Abstract
In order to effectively solve the problem that the subsequent waste treatment is affected by foreign bodies such as bones and hard shells in kitchen waste, reduce the treatment cost and improve the utilization efficiency of kitchen waste, this paper designs a small kitchen waste Intelligent Classification Recycling and reprocessing device which can be applied to school canteens, communities and township waste treatment plants. The device is mainly composed of mechanical body, central processing unit, detection and sensing system and post-processing system design. It can further separate kitchen waste on the basis of solid-liquid separation, realize reprocessing and recycling, and maximize the recycling value of kitchen waste, so as to achieve the purpose of energy conservation, emission reduction and sustainable development.
Research on pattern recognition technology for a highperformance optical fiber vibration sensor
Authors: Min WANG , Jiantao ZHENG , Teng ZHOU 
Published: August 2021

Abstract
In this paper, the optical fiber vibration sensor based on Mach-Zehnder Interference (MZI) principle is designed and researched, which can improve the ability to recognize the physical intrusion events for underground power pipelines by means of pattern recognition technology. Through data collection, analysis and processing, the vibration event database of key intrusion events in typical environment is established. By using coherent optical beat frequency, vibration recognition algorithm, machine learning and other technologies, the frequency domain diagram and time domain diagram of different vibration signals are analyzed and judged. In the end, the feature values of optical fiber vibration sensor such as frequency range, amplitude and waveform density are extracted.
The Critical Technical Research on the Intelligent Control Management System of the Energy Station
Authors: Xianxian Chen , Xiaoguang Liu 
Published: August 2021

Abstract
According to the currently equipment characteristics and process requirements of the refrigeration system of the energy station, we implement intelligent control energy-saving renovation project, which realized the automatic and intelligent control and operation of the refrigeration system related equipment. The system uses distributed control system, and provides systematic solutions for scientific decision-making, reasonable dispatch, energy management, energy efficiency analysis and energy-saving control. Simultaneously, to improve energy efficiency, this system can make full use of the electricity price policy, maximize the economic benefits of water storage, and operate in the lowest cost mode of energy supply.
Design of integrated management and control system for geological disasters of transmission lines based on GIS
Authors: Dan-dan Liu , Wei Hu , Jian Zhao , Yu You Po , Ping Zhao 
Published: August 2021

Abstract
The geological environment of Guizhou Province is fragile, which is one of the most serious geological disaster areas in China. Frequent geological disasters have seriously affected the safe and stable operation of domestic transmission lines. At the same time, it has the system of detection, decision-making and security protection, which is still blank. Therefore, this paper uses database technology and GIS technology, first of all, clean up and integrate the data of transmission line, major geological disasters and hydrometeorology to establish a comprehensive database of transmission line geological disasters. Then, the risk assessment model of major geological disasters of transmission lines is established to extract the risk level information of major geological disasters of transmission lines and formulate differentiated operation and maintenance strategies. Finally, the integrated management and control system of transmission line geological disasters is designed to realize intelligent detection and decision-making of geological disasters, so as to prevent and reduce the losses caused by geological disasters and ensure the safe operation of power energy.
Research on improving transient voltage stability of wind power grid connected system by SFCL and STATCOM
Authors: Tao Cheng , Kuang Honghai , Kuang Wei , Su Fuqing 
Published: August 2021

Abstract
Aiming at the problem of transient voltage instability in the grid-connected wind power system, a combined method of superconducting fault current limiter (SFCL) and static synchronous compensator (STATCOM) was proposed to suppress voltage saps. In this method, a superconducting fault current limiter (SFCL) is connected in series on the transmission line, and a static synchronous compensator (STATCOM) is connected in parallel on the bus of the wind farm. SFCL shows zero impedance when the system is in normal operation, and quickly shows high impedance when the fault occurs, so as to effectively suppress the short-circuit current and provide the bus voltage support. At the same time, STATCOM provides reactive power during the fault period, so that the system voltage can quickly recover. By establishing the corresponding simulation model, SFCL and STATCOM are used to jointly improve the voltage stability of the wind power grid-connected.
Optimization method of external power transmission based on complementary characteristics of wind power and photovoltaic
Authors: Yang Jingying , Lu Yu , Li Qunying , Liu Peng , She Xin , Zhang Yuanmei 
Published: August 2021

Abstract
The large-scale development of renewable energy power is faced with challenges such as the reverse distribution of wind and photovoltaic resources and power loads. The main challenge currently facing is the randomness and volatility of renewable energy power generation. Based on the concept, this paper studied the bundled transmission capacity planning. First, this paper proposed new energy output characteristics based on probability theory. According to the historical data of wind power and photovoltaic power generation, this paper considered the timing output characteristics and output change characteristics of wind power and photovoltaic power generation under different time scales. Then, the optimization model is established based on the objective function of minimizing total cost. Finally, this paper solved optimization problems with reinforcement learning algorithms and determined the installed capacity of thermal power. The research results of this paper have a certain significance for the bundled delivery of wind power and photovoltaics in new energy-rich areas.
Application of new intelligent double end grounding circuit breaker circuit resistance measurement technology
Authors: Dongpeng Sui , Fucu Huang , Chang Liu , Ye Zhao , Yanan Wang , Zhinan Guo 
Published: August 2021

Abstract
According to actual needs of the circuit breaker field measurement, by using induction coil as the basic principle of the proposed at both ends of the breaker is connected with the loop resistance test method. In this paper, we mainly study the circuit breakers at both ends of the ground state, circuit breaker loop resistance test design principle and theory model, solution method for the measurement of the small current signal criterion, research and development of the testing device, and through the two ends of the two devices on circuit breaker and GIS combination electric appliance grounding field test. Finally, to test this method and the traditional methods of test results were compared and analyzed, it is concluded that the two ends of the grounding circuit breaker loop resistance method can completely meet the needs of field maintenance and can improve the detection accuracy and instead of the traditional test methods.
Double closed-loop PI controller tuning for motor control
Authors: Huang Shixuan , Tu Feng , Guo Qijun , Wu Binyu , Huang Zhifan , Chen Haigen 
Published: August 2021

Abstract
This paper demonstrates an algebraic algorithm performed in the control loop of a Brushless DC Motor (BLDCM) speed controller by computing the PI controller parameter that can be accepted. Using methodology of PI controller stability analysis, accurate stability conditions can be derived for the BLDC Motor speed controller. The results of applying the new method ensure the system stability and fast response by tuning the PI controller in the order of the motor and mechanical constant.
Research on voltage reactive power optimization considering fuzzy load characteristics
Authors: Huo Chengjun , Wang Weiru , Li Mengzan , Liu Xinyuan 
Published: August 2021

Abstract
For the distributed load output is uncertain, which leads to the over-limit of voltage and line power, this paper proposes a load representation method based on fuzzy set theory, and establishes a voltage reactive power optimization model based on fuzzy number. The influence of different control equipment on node voltage and reactive power is analyzed. Combined with the sensitivity analysis method, the selection rules of control equipment with heuristic method are developed. A method of Genetic calculation based on fuzzy power flow calculation is presented. Finally, this method is applied to build a 30-node model in Matlab for simulation calculation. The results of the example show that the proposed model and method can accelerate the convergence speed, reduce the solution space and reduce the network loss.
Prediction and Simulation Analysis of Current Turn-off Behavior of Low-Voltage DC Circuit Breaker
Authors: Wu Yuebin , Hou Lei , Qi Tianxing , Ma Tao , Kong Yuhui , Li Mei , Zhang Rui 
Published: August 2021

Abstract
As the key breaker of hybrid DC circuit breaker, IGBT is the research focus of hybrid DC circuit breaker.In this paper, a steady state simulation model of IGBT is built based on the Darlongton equivalent structure.Through the actual output characteristics of IGBT, the feasibility of the steady-state simulation model of IGBT is verified.Then, a driving simulation model considering the positive and negative bias of IGBT drive output is built.In order to establish a more accurate transient model of IGBT, a semi-empirical MOS3 model considering weak inverse conductivity is adopted in the MOSFET model and a Gummel-Poon model considering multiple secondary effects is adopted in the BJT model.According to the experimental data, the feasibility of IGBT transient model is verified, and the construction of IGBT transient model under the DC breaking condition is completed.
Research Status of Dust Reduction Technology in Coal Handling System of Thermal Power Plant
Authors: Xing-ding Xia , Yong Yang , Yu-nong Sun , Yi-dan Zhang 
Published: August 2021

Abstract
Aiming at the dust control of coal handling system in thermal power plant, the research status of dust reduction related theory and technology was summarized. This paper introduced the research progress of dust and air separation mechanism and multiphase flow simulation technology in dust removal and suppression, as well as the features and application of dust removal technologies such as wet dust suppression, bag type dust removal, high voltage electrostatic dust removal, unpowered dust reduction and others. The technical route of dust reduction in coal handling system of thermal power plant was advised, which provides reference for dust control in coal handling system.
Medium and long term wind power generation forecast based on OWA combined model and Markov chain
Authors: Gong Ze , Xu Qifeng , Xie Nan 
Published: August 2021

Abstract
Wind energy, as one of the renewable energies with the most potential for development, has been widely concerned. At the same time, the medium and long term wind power prediction is easily affected by many factors. In order to avoid the instability of a single model, this paper first builds a self-adaptive filtering model and a gray model with parameter optimized by teaching learning-based optimization (TLBO), then uses ordered weighted averaging (OWA) to assign weights to two single models, and finally uses Markov chain to modify the prediction results to further improve the prediction accuracy.
Stochastic optimization model for integrated energy system under uncertainty based on chance-constrained programming
Authors: Li Baoju , Sun Yong , Li Xu , Zhang Ruosi 
Published: August 2021

Abstract
To solve the day-ahead optimal dispatching of the integrated energy system (IES), the influence of uncertainties in the operation is taken into consideration, and the application of combined heat and power (CHP) and Power to Gas (P2G) equipment can improve the system’s ability to accommodate renewable energy and reduce system operating costs. In order to minimize the operating cost of IES, a mixed-integer linear programming (MILP) optimization model based on chance-constrained is proposed in this paper. A scenario-based simulation method is proposed to convert the chance-constrained programming (CCP) model into a deterministic one. The model in this paper can effectively reduce the risk of system operation in uncertain environments and improve the stability of system operation.
A Method for Calculating the Internal Magnetic Field Distribution of the Modular Multilevel Converter Valve
Authors: Zhang Zhixin , Jiao Chongqing , Du Rongtian , Yang Yong , Wang Jialong 
Published: August 2021

Abstract
This paper presents a simple calculation method for the magnetic field distribution in the converter valve tower of the DC transmission system. The current inside the IGBT is decomposed into the superposition of the low-frequency sinusoidal current and the high-frequency spike current. According to the shielding mechanism of the metal shielding layer at different frequencies, the original model is divided into two sub-models. Then the final result is the superposition of the results calculated by the two sub-models. This method can calculate the magnetic field distribution in the converter valve tower in a short time.
Research on Statistical Method of Distribution Network Reliability Based on Dispatching Operation Management
Authors: Yuying Wang 
Published: August 2021

Abstract
Distribution network reliability statistics have always been an important indicator of the effectiveness of distribution network construction. In view of the characteristics of traditional manual statistics, such as heavy workload, low efficiency and poor accuracy, this paper starts from the demand of reliability analysis and combines with dispatching management system to realize automatic collection and recording of operation data related to reliability. Finally, according to the actual situation of the project site, a variety of distribution network reliability statistical methods are proposed.
Research of Modulation and Control Strategy of Modular Multilevel Inverter
Authors: Chang Yating , Xu Xianglian , Yin Xiaobei , He Yu 
Published: August 2021

Abstract
As a new multilevel converter structure, modular multilevel converter (MMC) has many outstanding advantages, such as high degree of modularization and easy cascade expansion, which greatly promotes the development and application of flexible DC transmission technology. In this paper, the modular multilevel inverter is the main research object, its topology and multilevel generation mechanism are analysed, and the capacitor voltage of sub modules is balanced based on the carrier phase shifted PWM strategy. The MMC simulation model is built on the MATLAB/Simulink software platform. According to the simulation results, the feasibility of the modulation and control strategy in reducing the harmonic component of output voltage and maintaining the stability of capacitor voltage is verified.
Electromagnetic simulation and test based on shielding effectiveness of cabinet shell
Authors: Gao Tongguo , Wang Tao , Li Deng , Guan Yu 
Published: August 2021

Abstract
Electromagnetic simulation technology is an important means to study microwave electromagnetic field and electromagnetic compatibility. The shielding effectiveness of electronic cabinet made of carbon fiber materials is studied by simulation method. The mainstream 3D full wave electromagnetic simulation software CST and modern electromagnetic simulation algorithm are used as research tools to analyze the shielding effectiveness of electronic cabinet made of carbon fiber materials. The simulation results are verified by means of scaled model verification, which greatly reduces the cost of experimental verification and improves the research efficiency.