Pub Date : 2021-04-01DOI: 10.1109/ACPEE51499.2021.9436911
Li Chang, Zhenhuan Chen, Qia Ding, Rongzhang Cao, Tumeng Fu
At present, China is carrying out the construction of electric power spot market, and the evaluation index of power spot market operation is an important basis for market operation agencies and market regulators to carry out spot market supervision monitoring and evaluation analysis. Based on the study of foreign power market index system, this paper puts forward the design principle, overall framework and evaluation index design of power spot market operation in pilot areas of China. The index system includes market supply and demand, market quotation, market concentration, market trading results and market behavior, There are 5 first-class indicators, 11 second-class indicators and 70 third-class indicators. Finally, the application scenarios of the index system are introduced.
{"title":"Design and application of operation evaluation index system for spot electricity market","authors":"Li Chang, Zhenhuan Chen, Qia Ding, Rongzhang Cao, Tumeng Fu","doi":"10.1109/ACPEE51499.2021.9436911","DOIUrl":"https://doi.org/10.1109/ACPEE51499.2021.9436911","url":null,"abstract":"At present, China is carrying out the construction of electric power spot market, and the evaluation index of power spot market operation is an important basis for market operation agencies and market regulators to carry out spot market supervision monitoring and evaluation analysis. Based on the study of foreign power market index system, this paper puts forward the design principle, overall framework and evaluation index design of power spot market operation in pilot areas of China. The index system includes market supply and demand, market quotation, market concentration, market trading results and market behavior, There are 5 first-class indicators, 11 second-class indicators and 70 third-class indicators. Finally, the application scenarios of the index system are introduced.","PeriodicalId":127882,"journal":{"name":"2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115127399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-01DOI: 10.1109/ACPEE51499.2021.9437137
Jiaqi Zhang, H. Su, Li Chen, Rui Yang
Installed wind turbine capacity is increasing. In this article, with time based maintenance (TBM) and the combination of condition based maintenance (CBM) as the research object, a physical system by establishing a state transition diagram and vector Markov process, and get partial calculus expression, Laplace transform is used to calculate the reliability index of the system, and the system characteristics of TBM and the general law of CBM and system failure rate equation, and will check the rate of TBM for CBM and the combination of optimal maintenance strategy of gradual failure rate. Matlab is used for simulation. The simulation results show that the combination of TBM and CBM can effectively improve the inspection rate of the progressive system.
{"title":"Reliability analysis of wind turbine combined TBM and CBM","authors":"Jiaqi Zhang, H. Su, Li Chen, Rui Yang","doi":"10.1109/ACPEE51499.2021.9437137","DOIUrl":"https://doi.org/10.1109/ACPEE51499.2021.9437137","url":null,"abstract":"Installed wind turbine capacity is increasing. In this article, with time based maintenance (TBM) and the combination of condition based maintenance (CBM) as the research object, a physical system by establishing a state transition diagram and vector Markov process, and get partial calculus expression, Laplace transform is used to calculate the reliability index of the system, and the system characteristics of TBM and the general law of CBM and system failure rate equation, and will check the rate of TBM for CBM and the combination of optimal maintenance strategy of gradual failure rate. Matlab is used for simulation. The simulation results show that the combination of TBM and CBM can effectively improve the inspection rate of the progressive system.","PeriodicalId":127882,"journal":{"name":"2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117167178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-01DOI: 10.1109/ACPEE51499.2021.9436899
Chaozhi He, Hejin Xiong, Zhangyou Shen
High performance permanent magnet synchronous motor(PMSM) servo system needs fast current response, but the uncertainty of the motor, parameter change and load disturbance during the motor operation will affect the performance of PMSM. Therefore, based on fractional order PID control technology, this paper presents the design process and implementation method of the current controller for the high dynamic response requirement of the PMSM current loop, and discusses the parameter sensitivity of the motor. The simulation and experimental results show that the proposed control strategy is correct and effective, which can effectively improve the dynamic performance of the current loop and thus contribute to the overall performance of the servo system.
{"title":"Current Loop Control Strategy of PMSM Based on Fractional Order PID Control Technology","authors":"Chaozhi He, Hejin Xiong, Zhangyou Shen","doi":"10.1109/ACPEE51499.2021.9436899","DOIUrl":"https://doi.org/10.1109/ACPEE51499.2021.9436899","url":null,"abstract":"High performance permanent magnet synchronous motor(PMSM) servo system needs fast current response, but the uncertainty of the motor, parameter change and load disturbance during the motor operation will affect the performance of PMSM. Therefore, based on fractional order PID control technology, this paper presents the design process and implementation method of the current controller for the high dynamic response requirement of the PMSM current loop, and discusses the parameter sensitivity of the motor. The simulation and experimental results show that the proposed control strategy is correct and effective, which can effectively improve the dynamic performance of the current loop and thus contribute to the overall performance of the servo system.","PeriodicalId":127882,"journal":{"name":"2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120826277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-01DOI: 10.1109/ACPEE51499.2021.9436990
Yuting Yan, Zihao Zhang
In order to further reduce environmental pressure and promote the integration of renewable generation, integrated energy system (IES) has become a promising way of energy consumption. The economic dispatch and optimal operation of the IES rely on accurate load forecasting. In this paper, a Support Vector Regression (SVR) based multiple load forecasting method for cooling loads, heating loads and electrical loads of integrated energy system is established. First, through Pearson correlation analysis, the correlation between cooling loads, heating loads and electrical loads are investigated. Then, a load forecasting model based on SVR is designed, and Particle Swarm optimization (PSO) is adopted to optimize model parameter setting. Electrical loads, heating loads, cooling loads, day type, and weather data are used as inputs in the prediction model. A case study on a realistic IES of a park in Yunnan Province is implemented to verify the proposed method. Comparing results of the proposed method with that of traditional models show that, the proposed model can effectively consider the coupling of power load, cooling load and heating load, and has better prediction accuracy.
{"title":"Cooling, Heating and Electrical Load Forecasting Method for Integrated Energy System based on SVR Model","authors":"Yuting Yan, Zihao Zhang","doi":"10.1109/ACPEE51499.2021.9436990","DOIUrl":"https://doi.org/10.1109/ACPEE51499.2021.9436990","url":null,"abstract":"In order to further reduce environmental pressure and promote the integration of renewable generation, integrated energy system (IES) has become a promising way of energy consumption. The economic dispatch and optimal operation of the IES rely on accurate load forecasting. In this paper, a Support Vector Regression (SVR) based multiple load forecasting method for cooling loads, heating loads and electrical loads of integrated energy system is established. First, through Pearson correlation analysis, the correlation between cooling loads, heating loads and electrical loads are investigated. Then, a load forecasting model based on SVR is designed, and Particle Swarm optimization (PSO) is adopted to optimize model parameter setting. Electrical loads, heating loads, cooling loads, day type, and weather data are used as inputs in the prediction model. A case study on a realistic IES of a park in Yunnan Province is implemented to verify the proposed method. Comparing results of the proposed method with that of traditional models show that, the proposed model can effectively consider the coupling of power load, cooling load and heating load, and has better prediction accuracy.","PeriodicalId":127882,"journal":{"name":"2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120857891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-01DOI: 10.1109/ACPEE51499.2021.9436865
Xuan Zhang, Qingxiang Hao, Wenjie Qu, Xingquan Ji, Yumin Zhang, Bo Xu
This paper presents electricity price forecasting method based on quantum immune optimization Back Propagation (BP) neural network algorithm. The prediction model of electric price can be constructed with BP neural network algorithm, however, the BP neural network is readily trapped in local optimal in the electricity price prediction. With this regard, based on the quantum immune optimization algorithm, a modified BP neural network price prediction method is proposed. A realistic New Zealand power company is used to test the proposed algorithm, the numerical results show that, compared the traditional BP neural network, the proposed quantum immune optimization BP algorithm has much higher accuracy in the prediction of electricity price. Thus, it is a better and more practical pricing prediction method and has better actual prediction effect. And it also demonstrates that this optimization algorithm not only greatly improves the accuracy of electricity price prediction, but also makes the prediction process faster and more efficient, which can effectively reduce errors and shorten the prediction period.
{"title":"Electricity Price Forecasting Method Based on Quantum Immune Optimization BP Neural Network Algorithm","authors":"Xuan Zhang, Qingxiang Hao, Wenjie Qu, Xingquan Ji, Yumin Zhang, Bo Xu","doi":"10.1109/ACPEE51499.2021.9436865","DOIUrl":"https://doi.org/10.1109/ACPEE51499.2021.9436865","url":null,"abstract":"This paper presents electricity price forecasting method based on quantum immune optimization Back Propagation (BP) neural network algorithm. The prediction model of electric price can be constructed with BP neural network algorithm, however, the BP neural network is readily trapped in local optimal in the electricity price prediction. With this regard, based on the quantum immune optimization algorithm, a modified BP neural network price prediction method is proposed. A realistic New Zealand power company is used to test the proposed algorithm, the numerical results show that, compared the traditional BP neural network, the proposed quantum immune optimization BP algorithm has much higher accuracy in the prediction of electricity price. Thus, it is a better and more practical pricing prediction method and has better actual prediction effect. And it also demonstrates that this optimization algorithm not only greatly improves the accuracy of electricity price prediction, but also makes the prediction process faster and more efficient, which can effectively reduce errors and shorten the prediction period.","PeriodicalId":127882,"journal":{"name":"2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122495363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-01DOI: 10.1109/ACPEE51499.2021.9437092
Xuanping Lai, Min Cao, Siyang Liu, Chenjun Sun
The correct topology relationship is very important in low-voltage distribution network. The traditional topology identification method is not only low in accuracy and interference, but also low in efficiency. In order to solve this problem, a topology recognition method of low-voltage distribution network based on characteristic current is proposed, which aims to identify the topology of low-voltage substation accurately and efficiently by using intelligent sensing terminal, TMR high-sensitivity sensor and injecting characteristic current. Firstly, a low-voltage distribution network architecture based on intelligent sensing terminal and TMR sensor is constructed. Then, the theoretical basis of TMR sensor and characteristic current applied in station topology identification is analyzed. Finally, a practical example shows that the proposed method has high accuracy and strong tolerance, which is of great significance to improve the accuracy of user information identification, reduce the workload and reduce the cost.
{"title":"Low-voltage distribution network topology identification method based on characteristic current","authors":"Xuanping Lai, Min Cao, Siyang Liu, Chenjun Sun","doi":"10.1109/ACPEE51499.2021.9437092","DOIUrl":"https://doi.org/10.1109/ACPEE51499.2021.9437092","url":null,"abstract":"The correct topology relationship is very important in low-voltage distribution network. The traditional topology identification method is not only low in accuracy and interference, but also low in efficiency. In order to solve this problem, a topology recognition method of low-voltage distribution network based on characteristic current is proposed, which aims to identify the topology of low-voltage substation accurately and efficiently by using intelligent sensing terminal, TMR high-sensitivity sensor and injecting characteristic current. Firstly, a low-voltage distribution network architecture based on intelligent sensing terminal and TMR sensor is constructed. Then, the theoretical basis of TMR sensor and characteristic current applied in station topology identification is analyzed. Finally, a practical example shows that the proposed method has high accuracy and strong tolerance, which is of great significance to improve the accuracy of user information identification, reduce the workload and reduce the cost.","PeriodicalId":127882,"journal":{"name":"2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122865603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-01DOI: 10.1109/ACPEE51499.2021.9436992
Siqi Li, Dalian Wang, Congcong Li, Yingying Zhang
Due to the continuous improvement of aircraft performance, MEA is more and more used in modern aircraft. It is becoming more and more popular to replace pneumatic system, hydraulic system and mechanical system with MEA. In order to meet the needs of aircraft radar power system, this paper designs an 18-pulse rectifier power supply, which is used to convert 115V AC to 270V DC. This type of power supply has low harmonic output and high efficiency and stable DC voltage. In this paper, MIL-STD-704A provides 11 test conditions of rectifier power system, in order to verify the simulation results under these conditions, thus the model of 18-pulse rectifier power supply is established, and the feasibility of 18-pulse rectifier power supply is verified through the follow-up experiments. Finally, the paper discusses several possible problems in practical application and analyzes the possible consequences, which makes it possible for 18-pulse rectifier being applied in aircraft radar power system.
{"title":"The Steady State Limits Application of 18-pulse Rectifier in Aircraft Radar Power Supply System","authors":"Siqi Li, Dalian Wang, Congcong Li, Yingying Zhang","doi":"10.1109/ACPEE51499.2021.9436992","DOIUrl":"https://doi.org/10.1109/ACPEE51499.2021.9436992","url":null,"abstract":"Due to the continuous improvement of aircraft performance, MEA is more and more used in modern aircraft. It is becoming more and more popular to replace pneumatic system, hydraulic system and mechanical system with MEA. In order to meet the needs of aircraft radar power system, this paper designs an 18-pulse rectifier power supply, which is used to convert 115V AC to 270V DC. This type of power supply has low harmonic output and high efficiency and stable DC voltage. In this paper, MIL-STD-704A provides 11 test conditions of rectifier power system, in order to verify the simulation results under these conditions, thus the model of 18-pulse rectifier power supply is established, and the feasibility of 18-pulse rectifier power supply is verified through the follow-up experiments. Finally, the paper discusses several possible problems in practical application and analyzes the possible consequences, which makes it possible for 18-pulse rectifier being applied in aircraft radar power system.","PeriodicalId":127882,"journal":{"name":"2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114125135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-01DOI: 10.1109/ACPEE51499.2021.9436871
Qian Li
The aircraft lightplates are used to provide backlight lighting for the control panels in the cockpit of the aircraft. The flight crew needs to adjust the backlight brightness by switching knobs with the change of the external light environment of the aircraft. In this paper, an adaptive dimming power control system of aircraft lightplates is proposed, which can significantly reduce the operating burden of flight crew. Based on a microprocessor, the system detects the change of ambient illumination in each area of the cockpit by multiple light intensity sensors distributed in the cockpit. The processor synthetically processes the light intensity sensor signals in different positions. Finally, it outputs PWM (Pulse width modulation) signals according to the given dimming curve, to provide dimming control of the aircraft lightplates. The simulation results show that the dimming power control system can adjust the brightness of the aircraft lightplates adaptively with the change of ambient light, and achieve the purpose of reducing the burden of the flight crew.
{"title":"Design of adaptive dimming power control system for civil aircraft lightplates","authors":"Qian Li","doi":"10.1109/ACPEE51499.2021.9436871","DOIUrl":"https://doi.org/10.1109/ACPEE51499.2021.9436871","url":null,"abstract":"The aircraft lightplates are used to provide backlight lighting for the control panels in the cockpit of the aircraft. The flight crew needs to adjust the backlight brightness by switching knobs with the change of the external light environment of the aircraft. In this paper, an adaptive dimming power control system of aircraft lightplates is proposed, which can significantly reduce the operating burden of flight crew. Based on a microprocessor, the system detects the change of ambient illumination in each area of the cockpit by multiple light intensity sensors distributed in the cockpit. The processor synthetically processes the light intensity sensor signals in different positions. Finally, it outputs PWM (Pulse width modulation) signals according to the given dimming curve, to provide dimming control of the aircraft lightplates. The simulation results show that the dimming power control system can adjust the brightness of the aircraft lightplates adaptively with the change of ambient light, and achieve the purpose of reducing the burden of the flight crew.","PeriodicalId":127882,"journal":{"name":"2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122033274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-01DOI: 10.1109/ACPEE51499.2021.9437064
Zhangyou Shen, Hejin Xiong, Zhiqiang Zhang
Permanent magnet synchronous generator system is generally composed of PMSG and converter. In recent years, permanent magnet synchronous generators have been widely used in various fields due to their low loss and high power factor. However, the output DC voltage is unstable and easily interfered by other factors. How to control DC voltage stability has also become a research hotspot. For DC load, this thesis studies the fractional order control method of output voltage of permanent magnet synchronous generator. The voltage outer loop and current inner loop are controlled by fractional order. We compared the dynamic performance and anti-interference performance between fractional order controller and ordinary PI controller. Finally, the Matlab/Simulink simulation software is used to analyze the system. The results show that fractional order controller has better dynamic performance and anti-interference performance.
{"title":"Study on Output Voltage of Permanent Magnet Synchronous Generator under Fractional Order Control","authors":"Zhangyou Shen, Hejin Xiong, Zhiqiang Zhang","doi":"10.1109/ACPEE51499.2021.9437064","DOIUrl":"https://doi.org/10.1109/ACPEE51499.2021.9437064","url":null,"abstract":"Permanent magnet synchronous generator system is generally composed of PMSG and converter. In recent years, permanent magnet synchronous generators have been widely used in various fields due to their low loss and high power factor. However, the output DC voltage is unstable and easily interfered by other factors. How to control DC voltage stability has also become a research hotspot. For DC load, this thesis studies the fractional order control method of output voltage of permanent magnet synchronous generator. The voltage outer loop and current inner loop are controlled by fractional order. We compared the dynamic performance and anti-interference performance between fractional order controller and ordinary PI controller. Finally, the Matlab/Simulink simulation software is used to analyze the system. The results show that fractional order controller has better dynamic performance and anti-interference performance.","PeriodicalId":127882,"journal":{"name":"2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116674826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-01DOI: 10.1109/ACPEE51499.2021.9437110
Shiyezi Xiang, Lin Du, Chunlong Li, Yaping Li, Huizong Yu, Peilin Huang
Smart sensors are the core of condition monitoring of power equipment. However, energy supply for sensors in complex electric power field is difficult and in the spotlight. Solar energy as an easily available energy is a good solution to this problem. Accurate identification of photovoltaic cell model parameters can ensure the subsequent stable energy supply. The purpose of this paper is to realize the accurate identification of photovoltaic cell model parameters, so as to serve the energy supply of monitor devices. Firstly, the basic circuit of photovoltaic panel energy supply is built. Secondly, the U-I characteristic curve of photovoltaic cell under different loads is measured. Thirdly, the equivalent parameter model of photovoltaic cell is constructed. Finally, the model parameters are accurately identified based on Levenberg Marquarelt (LM)-Genetic Algorithm (GA). LM algorithm is used for fast global calculation to determine the approximate range of global optimal solution, and then GA is used to further iterate within this range to obtain high-precision local extremum. The proposed method achieved a better fitting effect and results has higher precision in parameter identification of photovoltaic cell. Moreover, under the rated working condition, the errors between the identified parameters and the numerical values provided by the manufacturer are within ±5%. This paper presents an optimization algorithm combining LM and GA, which can accurately identify the parameters of photovoltaic model under different solar radiation levels, and provide strong technical support for the energy supply of sensors and other monitoring equipment.
{"title":"An optimization method based on LM-GA for parameter identification of photovoltaic cell","authors":"Shiyezi Xiang, Lin Du, Chunlong Li, Yaping Li, Huizong Yu, Peilin Huang","doi":"10.1109/ACPEE51499.2021.9437110","DOIUrl":"https://doi.org/10.1109/ACPEE51499.2021.9437110","url":null,"abstract":"Smart sensors are the core of condition monitoring of power equipment. However, energy supply for sensors in complex electric power field is difficult and in the spotlight. Solar energy as an easily available energy is a good solution to this problem. Accurate identification of photovoltaic cell model parameters can ensure the subsequent stable energy supply. The purpose of this paper is to realize the accurate identification of photovoltaic cell model parameters, so as to serve the energy supply of monitor devices. Firstly, the basic circuit of photovoltaic panel energy supply is built. Secondly, the U-I characteristic curve of photovoltaic cell under different loads is measured. Thirdly, the equivalent parameter model of photovoltaic cell is constructed. Finally, the model parameters are accurately identified based on Levenberg Marquarelt (LM)-Genetic Algorithm (GA). LM algorithm is used for fast global calculation to determine the approximate range of global optimal solution, and then GA is used to further iterate within this range to obtain high-precision local extremum. The proposed method achieved a better fitting effect and results has higher precision in parameter identification of photovoltaic cell. Moreover, under the rated working condition, the errors between the identified parameters and the numerical values provided by the manufacturer are within ±5%. This paper presents an optimization algorithm combining LM and GA, which can accurately identify the parameters of photovoltaic model under different solar radiation levels, and provide strong technical support for the energy supply of sensors and other monitoring equipment.","PeriodicalId":127882,"journal":{"name":"2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129620159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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