Island microgrids (IMGs) are usually interconnected with the mainland grid by submarine cables. However, once the submarine cable suffers damage, the IMGs will rely on standby diesel units to operate independently with the poor economy and severe pollution. This paper proposes a post-disaster collaborative scheduling strategy for IMG and electric passenger ships (EPS) to address this problem. Firstly, based on the idea of hierarchy-clustering-decoupling, a novel EPS scheduling model is proposed to speed up the solving efficiency. Then, a two-stage post-disaster scheduling strategy is presented with the operating constraints of IMGs. The first stage optimally determines the IMG scheduling plan and the EPS cluster scheduling plan, and the second stage makes decisions on individual EPS scheduling plans. Finally, the numerical simulation verifies the effectiveness of the proposed strategy and the rapidity of the solution.
{"title":"Post-Disaster Scheduling Strategy of Island Microgrid with Electric Passenger Ships","authors":"Chuantao Wu, Yuncong Ma, Cen Chen, Chuhan Sun, Xiangning Lin, Fanrong Wei, Zhengtian Li","doi":"10.1109/ICPET55165.2022.9918301","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918301","url":null,"abstract":"Island microgrids (IMGs) are usually interconnected with the mainland grid by submarine cables. However, once the submarine cable suffers damage, the IMGs will rely on standby diesel units to operate independently with the poor economy and severe pollution. This paper proposes a post-disaster collaborative scheduling strategy for IMG and electric passenger ships (EPS) to address this problem. Firstly, based on the idea of hierarchy-clustering-decoupling, a novel EPS scheduling model is proposed to speed up the solving efficiency. Then, a two-stage post-disaster scheduling strategy is presented with the operating constraints of IMGs. The first stage optimally determines the IMG scheduling plan and the EPS cluster scheduling plan, and the second stage makes decisions on individual EPS scheduling plans. Finally, the numerical simulation verifies the effectiveness of the proposed strategy and the rapidity of the solution.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115758826","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 : 2022-07-28DOI: 10.1109/ICPET55165.2022.9918428
Anping Hu, Jie Lei, Yibin Tao, Bo Yang, Shuming Liu
Accurate evaluation of node voltage sag risk is the premise and foundation for the following effective treatment of voltage sag. In view of the current research status of the voltage sag evaluation system, which is not complete enough and lacks risk evaluation concept, a comprehensive evaluation method of voltage sag risk taking both the power grid side and the user side into account is proposed. Based on the definition of risk evaluation, this method constructs a voltage sag risk evaluation model after analyzing the perspectives of probabilistic prediction and selection of severity indices. Then, the assessment matrix is formed by combination weighting and using game theory and the general process of voltage sag risk evaluation based on GRA-TOPSIS model is given. Finally, an example analysis which takes the data of voltage sag events of multiple sensitive users in a certain province as samples is carried out to verify the rationality, accuracy and good practicality of the evaluation strategy.
{"title":"Risk Assessment Method of Node Voltage Sag Based on GRA-TOPSIS Model","authors":"Anping Hu, Jie Lei, Yibin Tao, Bo Yang, Shuming Liu","doi":"10.1109/ICPET55165.2022.9918428","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918428","url":null,"abstract":"Accurate evaluation of node voltage sag risk is the premise and foundation for the following effective treatment of voltage sag. In view of the current research status of the voltage sag evaluation system, which is not complete enough and lacks risk evaluation concept, a comprehensive evaluation method of voltage sag risk taking both the power grid side and the user side into account is proposed. Based on the definition of risk evaluation, this method constructs a voltage sag risk evaluation model after analyzing the perspectives of probabilistic prediction and selection of severity indices. Then, the assessment matrix is formed by combination weighting and using game theory and the general process of voltage sag risk evaluation based on GRA-TOPSIS model is given. Finally, an example analysis which takes the data of voltage sag events of multiple sensitive users in a certain province as samples is carried out to verify the rationality, accuracy and good practicality of the evaluation strategy.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124242774","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}
With the continuous increase of grid-connected capacity of offshore wind power, the strong randomness and fluctuation of its output power have brought unprecedented difficulties and challenges to the safe and reliable operation of power grid. Previous studies mostly focus on the adequacy of offshore wind farms and their power collection systems, and less consider the impact of offshore wind farm on the receiving-end grid. Therefore, it is necessary to comprehensively evaluate the reliability of power system including offshore wind farm. Firstly, this paper establishes an overall reliability evaluation system of power system with offshore wind farm from three aspects: wind resource evaluation index, transmission capacity of offshore wind power system and outage load of receiving-end grid. Then, the improved grey correlation method is used to weight the indexes to further improve the objectivity of the evaluation. Finally, in IEEE-RTS79 system, the reliability of power system with offshore wind farm is analyzed and evaluated. The effectiveness of the proposed evaluation system is proved, and some suggestion for the planning of offshore wind farm are given.
{"title":"Research on Evaluation Index System for Reliability of Power System including Offshore Wind Farm","authors":"Xiaohui Wang, Ruanming Huang, Junyu Zhao, Fei Fei, Haoen Li, E. Wu, X. Zhao, Shan Gao","doi":"10.1109/ICPET55165.2022.9918467","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918467","url":null,"abstract":"With the continuous increase of grid-connected capacity of offshore wind power, the strong randomness and fluctuation of its output power have brought unprecedented difficulties and challenges to the safe and reliable operation of power grid. Previous studies mostly focus on the adequacy of offshore wind farms and their power collection systems, and less consider the impact of offshore wind farm on the receiving-end grid. Therefore, it is necessary to comprehensively evaluate the reliability of power system including offshore wind farm. Firstly, this paper establishes an overall reliability evaluation system of power system with offshore wind farm from three aspects: wind resource evaluation index, transmission capacity of offshore wind power system and outage load of receiving-end grid. Then, the improved grey correlation method is used to weight the indexes to further improve the objectivity of the evaluation. Finally, in IEEE-RTS79 system, the reliability of power system with offshore wind farm is analyzed and evaluated. The effectiveness of the proposed evaluation system is proved, and some suggestion for the planning of offshore wind farm are given.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116672898","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 : 2022-07-28DOI: 10.1109/ICPET55165.2022.9918343
Jingpeng Yue, Jiayuan Gao, Ranran An, Li Jin, Ran Tao, Kaixing Zou
Phase-locked loop (PLL) is an important unit for a grid-connected inverter (GCI) to synchronize with the grid. And its negative impact on the stability of the GCI cannot be ignored. Especially in the weak grid, the impact is more prominent. In this paper, by constructing a small-signal control block diagram of a GCI that considers the effect of the PLL, it’s pointed out that the PLL introduces a positive feedback loop at the current reference value and the existence of the positive feedback loop will seriously reduce the stability of the GCI in the weak grid. Therefore, in order to eliminate the adverse effect of the positive feedback loop introduced by the PLL on the stability of the GCI, a negative feedback-loop compensation control method is proposed in this paper. By introducing a negative feedback compensation loop at the current reference value, the negative influence of the PLL is suppressed, thereby improving the stability of the GCI in a weak grid. At the same time, the control parameters of the negative feedback compensation loop are also analyzed and designed in detail. Finally, the correctness and effectiveness of the control strategy proposed in this paper are verified by simulation and experiment.
{"title":"A Method for Improving the Stability of Grid-Connected Inverters by Eliminating the Negative Effects of PLL in Weak Grids","authors":"Jingpeng Yue, Jiayuan Gao, Ranran An, Li Jin, Ran Tao, Kaixing Zou","doi":"10.1109/ICPET55165.2022.9918343","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918343","url":null,"abstract":"Phase-locked loop (PLL) is an important unit for a grid-connected inverter (GCI) to synchronize with the grid. And its negative impact on the stability of the GCI cannot be ignored. Especially in the weak grid, the impact is more prominent. In this paper, by constructing a small-signal control block diagram of a GCI that considers the effect of the PLL, it’s pointed out that the PLL introduces a positive feedback loop at the current reference value and the existence of the positive feedback loop will seriously reduce the stability of the GCI in the weak grid. Therefore, in order to eliminate the adverse effect of the positive feedback loop introduced by the PLL on the stability of the GCI, a negative feedback-loop compensation control method is proposed in this paper. By introducing a negative feedback compensation loop at the current reference value, the negative influence of the PLL is suppressed, thereby improving the stability of the GCI in a weak grid. At the same time, the control parameters of the negative feedback compensation loop are also analyzed and designed in detail. Finally, the correctness and effectiveness of the control strategy proposed in this paper are verified by simulation and experiment.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121051397","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}
Measuring the dielectric loss under 0.1Hz AC voltage can effectively reflect the aging of power cables, water trees and other defects. With the increasing number and age of power cables, 0.1Hz AC voltage dielectric loss measuring instruments have been widely equipped in China. It is necessary to calibrate these instruments. However, there is no generally accepted method of calibration. This paper proposes a calibration method and establishes a test platform for calibrating the dielectric loss measuring instrument under 0.1Hz AC voltage. This method uses a resistor and capacitor in parallel as standard equipment, and the instrument is calibrated by comparing the measured value with the theoretical value. This theoretical value is calculated by measuring the capacitance value of the capacitor and the resistance value of the resistor using 50Hz standard equipment. Polypropylene film capacitors and non-inductive glass glaze resistors are used to reduce the influence of test frequency and temperature on calibration results. Different capacitance and resistance values were selected, and standard instruments with different theoretical dielectric loss values were prepared, and measured with a 0.1Hz dielectric loss measuring instrument to obtain the test values. The results show that the minimum relative deviation between the theoretical value and the tested value is about 1%. When the capacitance value is constant, the deviation between the theoretical value and the test value increases with the increase of the resistance value. This paper compares and analyzes the reasons for the deviation between the theoretical value and the test value, and proposes the corresponding correction method. The errors of the corrected standard devices are all within 2%, which can meet the general calibration requirements.
{"title":"Calibration Method of Power Cable Dielectric Loss Measuring Instrument under 0.1Hz AC Voltage","authors":"Weiqi Wang, Kaijie Zhao, Wen Wang, Sansheng Shi, Wenqi Zhi","doi":"10.1109/ICPET55165.2022.9918529","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918529","url":null,"abstract":"Measuring the dielectric loss under 0.1Hz AC voltage can effectively reflect the aging of power cables, water trees and other defects. With the increasing number and age of power cables, 0.1Hz AC voltage dielectric loss measuring instruments have been widely equipped in China. It is necessary to calibrate these instruments. However, there is no generally accepted method of calibration. This paper proposes a calibration method and establishes a test platform for calibrating the dielectric loss measuring instrument under 0.1Hz AC voltage. This method uses a resistor and capacitor in parallel as standard equipment, and the instrument is calibrated by comparing the measured value with the theoretical value. This theoretical value is calculated by measuring the capacitance value of the capacitor and the resistance value of the resistor using 50Hz standard equipment. Polypropylene film capacitors and non-inductive glass glaze resistors are used to reduce the influence of test frequency and temperature on calibration results. Different capacitance and resistance values were selected, and standard instruments with different theoretical dielectric loss values were prepared, and measured with a 0.1Hz dielectric loss measuring instrument to obtain the test values. The results show that the minimum relative deviation between the theoretical value and the tested value is about 1%. When the capacitance value is constant, the deviation between the theoretical value and the test value increases with the increase of the resistance value. This paper compares and analyzes the reasons for the deviation between the theoretical value and the test value, and proposes the corresponding correction method. The errors of the corrected standard devices are all within 2%, which can meet the general calibration requirements.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127494715","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 : 2022-07-28DOI: 10.1109/ICPET55165.2022.9918371
Jing Yu, Yajie Liu
photovoltaic (PV) array is always outdoors, which is affected by the environment and its own aging, resulting in frequent failures. If the PV array fault is not detected and processed in time, it will not only reduce the efficiency of the photovoltaic power generation system at the source, but also bring serious security risks to the system. Traditional fault diagnosis methods have some problems, such as high cost, high dependence on equipment, weak universality, and difficult mathematical modeling. How to reduce the time cost and detection cost of photovoltaic array fault diagnosis and increase the accuracy rate has become an urgent problem to be solved. In this paper, a photovoltaic array fault diagnosis model based on improved Ant Colony Algorithm (ACA) optimized Radial Basis Function Neural Network (RBFNN) is proposed. The central parameters of RBF neural network are optimized by the improved ant colony algorithm, and the optimized parameters are used to establish a model to effectively diagnose photovoltaic array faults. In practice, the probability of multiple faults is still relatively small, and it is difficult to obtain enough fault samples as training data. Therefore, the data set generated by the simulation model is used to train the model with considering the occurrence of four kinds of photovoltaic array faults and their combination. Experimental results show that the proposed fault diagnosis model can effectively distinguish typical photovoltaic array faults with high fault diagnosis accuracy. Compared with BP neural network and support vector machine model, the proposed fault diagnosis model has a faster convergence rate and higher accuracy.
{"title":"Research on Fault Diagnosis of Photovoltaic Array Based on ACA-RBF Neural Network Model","authors":"Jing Yu, Yajie Liu","doi":"10.1109/ICPET55165.2022.9918371","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918371","url":null,"abstract":"photovoltaic (PV) array is always outdoors, which is affected by the environment and its own aging, resulting in frequent failures. If the PV array fault is not detected and processed in time, it will not only reduce the efficiency of the photovoltaic power generation system at the source, but also bring serious security risks to the system. Traditional fault diagnosis methods have some problems, such as high cost, high dependence on equipment, weak universality, and difficult mathematical modeling. How to reduce the time cost and detection cost of photovoltaic array fault diagnosis and increase the accuracy rate has become an urgent problem to be solved. In this paper, a photovoltaic array fault diagnosis model based on improved Ant Colony Algorithm (ACA) optimized Radial Basis Function Neural Network (RBFNN) is proposed. The central parameters of RBF neural network are optimized by the improved ant colony algorithm, and the optimized parameters are used to establish a model to effectively diagnose photovoltaic array faults. In practice, the probability of multiple faults is still relatively small, and it is difficult to obtain enough fault samples as training data. Therefore, the data set generated by the simulation model is used to train the model with considering the occurrence of four kinds of photovoltaic array faults and their combination. Experimental results show that the proposed fault diagnosis model can effectively distinguish typical photovoltaic array faults with high fault diagnosis accuracy. Compared with BP neural network and support vector machine model, the proposed fault diagnosis model has a faster convergence rate and higher accuracy.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"2002 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123762350","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 : 2022-07-28DOI: 10.1109/ICPET55165.2022.9918522
F. Meng, Jingjing Ye, Jia-qi Zhao
The co-phase power supply technology can solve the power quality problem represented by negative sequence and eliminate the electric phase split in the traditional traction power supply system, thereby improving the reliability of railway power supply and reducing the potential safety hazards of railway traction power supply system under the condition of long ramps. Based on the combined co-phase traction power supply system, this paper proposes a distribution strategy for the target output value of the hybrid energy storage system. The topology of the system is given and two working states of traction discharge and braking charge are analyzed, and the calculation of the compensation power is used as an input for the current control of the co-phase power supply system. Simulation and verification using MATLAB/Simulink shows that the energy storage type inphase power supply can not only compensate the negative sequence component, but also realize the utilization of regenerative braking energy feedback.
{"title":"A New Power Supply Mode Applicable to Sichuan-Tibet Railway","authors":"F. Meng, Jingjing Ye, Jia-qi Zhao","doi":"10.1109/ICPET55165.2022.9918522","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918522","url":null,"abstract":"The co-phase power supply technology can solve the power quality problem represented by negative sequence and eliminate the electric phase split in the traditional traction power supply system, thereby improving the reliability of railway power supply and reducing the potential safety hazards of railway traction power supply system under the condition of long ramps. Based on the combined co-phase traction power supply system, this paper proposes a distribution strategy for the target output value of the hybrid energy storage system. The topology of the system is given and two working states of traction discharge and braking charge are analyzed, and the calculation of the compensation power is used as an input for the current control of the co-phase power supply system. Simulation and verification using MATLAB/Simulink shows that the energy storage type inphase power supply can not only compensate the negative sequence component, but also realize the utilization of regenerative braking energy feedback.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125291740","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 : 2022-07-28DOI: 10.1109/ICPET55165.2022.9918317
H. Niu, Chaohui Wu, Zhuo Ma
The level of photovoltaic power generation in China is still in its infancy. Affected by many factors, photovoltaic power stations have frequent failures. According to the requirements of CHN energy on the intelligent operation and maintenance platform of photovoltaic power generation, this paper starts from the functional requirements of CHN energy from the two aspects of field level fault diagnosis, operation and maintenance and management requirements and group level supervision requirements, takes the overall reliability data to provide a reliable reference for project risk assessment and asset management, innovatively puts forward an improved intelligent data mining method, and determines the functional framework of the intelligent operation and maintenance platform of photovoltaic power generation, It has realized the analysis and evaluation of the operation status of photovoltaic power stations and the intelligent operation and maintenance of the wide area and all links of China's energy photovoltaic industry, and improved the fine and intelligent operation level of CHN energy photovoltaic power stations, which is of great significance to improve the safety of photovoltaic power generation and scientifically promote the comprehensive and coordinated development of photovoltaic industry!
{"title":"Research on Distributed Intelligent Photovoltaic Monitoring Operation and Maintenance Platform","authors":"H. Niu, Chaohui Wu, Zhuo Ma","doi":"10.1109/ICPET55165.2022.9918317","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918317","url":null,"abstract":"The level of photovoltaic power generation in China is still in its infancy. Affected by many factors, photovoltaic power stations have frequent failures. According to the requirements of CHN energy on the intelligent operation and maintenance platform of photovoltaic power generation, this paper starts from the functional requirements of CHN energy from the two aspects of field level fault diagnosis, operation and maintenance and management requirements and group level supervision requirements, takes the overall reliability data to provide a reliable reference for project risk assessment and asset management, innovatively puts forward an improved intelligent data mining method, and determines the functional framework of the intelligent operation and maintenance platform of photovoltaic power generation, It has realized the analysis and evaluation of the operation status of photovoltaic power stations and the intelligent operation and maintenance of the wide area and all links of China's energy photovoltaic industry, and improved the fine and intelligent operation level of CHN energy photovoltaic power stations, which is of great significance to improve the safety of photovoltaic power generation and scientifically promote the comprehensive and coordinated development of photovoltaic industry!","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114261926","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}
By harmonic current injection to reduce the capacitance of bridge arm sub modules (SMs), the volume and weight of MMC can be effectively reduced, and the lightweight of MMC can be realized. Based on the theoretical analysis of the characteristics of low capacitance MMC in DC fault condition, the problem of fast discharge of SMs exists under low capacitance when other parameters remain unchanged, which may lead to low voltage blocking of SMs during the clearing process of DC fault. From the perspective of equivalent charge, a DC fault clearing strategy based on low capacitance half-bridge MMC is proposed. By adjusting the total number of SMs in each phase according to the capacitance reduction ratio in MMC during the fault clearing process, the discharge speed of the SMs’ capacitor can be effectively reduced and the recovery of the system can be accelerated. Based on PSCAD / EMTDC environment, a simulation program is built to verify the effectiveness of the auxiliary strategy of DC fault clearing in low capacitance MMC.
{"title":"Auxiliary DC Fault Clearing Strategy for Low Capacitance Half-bridge MMC","authors":"Yukun Yang, Qiang Fan, Jianzhong Xu, Chengyong Zhao, Yinglin Xue, Quanle Zhu","doi":"10.1109/ICPET55165.2022.9918285","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918285","url":null,"abstract":"By harmonic current injection to reduce the capacitance of bridge arm sub modules (SMs), the volume and weight of MMC can be effectively reduced, and the lightweight of MMC can be realized. Based on the theoretical analysis of the characteristics of low capacitance MMC in DC fault condition, the problem of fast discharge of SMs exists under low capacitance when other parameters remain unchanged, which may lead to low voltage blocking of SMs during the clearing process of DC fault. From the perspective of equivalent charge, a DC fault clearing strategy based on low capacitance half-bridge MMC is proposed. By adjusting the total number of SMs in each phase according to the capacitance reduction ratio in MMC during the fault clearing process, the discharge speed of the SMs’ capacitor can be effectively reduced and the recovery of the system can be accelerated. Based on PSCAD / EMTDC environment, a simulation program is built to verify the effectiveness of the auxiliary strategy of DC fault clearing in low capacitance MMC.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122103685","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}
With the rapid growth of grid connected wind power, the safety problems of wind turbine equipment in the wind power industry occur frequently. Among them, the frequent occurrence of unit fire accidents in recent years has attracted the attention of the industry. The frequent occurrence of fire accidents in the wind power industry has caused great hidden dangers to the operation of wind farms and personnel safety. In order to address the issues, the fire accident process of wind turbine, and the mechanism and main factors causing the accident is analyzed. Finally, A grid-connected circuit intelligent protection system is proposed.
{"title":"Analysis on Fire Accident of Wind Turbine and Intelligent Protection","authors":"Baosong Liu, Feimin Lou, Gandong Ma, Xin-shou Tian","doi":"10.1109/ICPET55165.2022.9918503","DOIUrl":"https://doi.org/10.1109/ICPET55165.2022.9918503","url":null,"abstract":"With the rapid growth of grid connected wind power, the safety problems of wind turbine equipment in the wind power industry occur frequently. Among them, the frequent occurrence of unit fire accidents in recent years has attracted the attention of the industry. The frequent occurrence of fire accidents in the wind power industry has caused great hidden dangers to the operation of wind farms and personnel safety. In order to address the issues, the fire accident process of wind turbine, and the mechanism and main factors causing the accident is analyzed. Finally, A grid-connected circuit intelligent protection system is proposed.","PeriodicalId":355634,"journal":{"name":"2022 4th International Conference on Power and Energy Technology (ICPET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129565961","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}