Pub Date : 2022-02-25DOI: 10.1109/ICoPESA54515.2022.9754385
Chuming Liao, Junfeng Ma, Sha Ma
To reduce train delays and the number of stranded passengers at stations in the case of strong wind, this paper proposes an integrated optimization method for the train rescheduling and stranded passengers reassignment problem. Through introducing a set of critical train operation constraints, we develop a mixed integer programming model with the objective of minimizing total passenger delay. Then, the optimization software CPLEX is employed to solve the proposed mathematical model. The effectiveness and the efficiency of the proposed method are demonstrated by a numerical example.
{"title":"Integrated Optimization of Real-time Rescheduling and Passenger Reassignment in the Strong Wind Case","authors":"Chuming Liao, Junfeng Ma, Sha Ma","doi":"10.1109/ICoPESA54515.2022.9754385","DOIUrl":"https://doi.org/10.1109/ICoPESA54515.2022.9754385","url":null,"abstract":"To reduce train delays and the number of stranded passengers at stations in the case of strong wind, this paper proposes an integrated optimization method for the train rescheduling and stranded passengers reassignment problem. Through introducing a set of critical train operation constraints, we develop a mixed integer programming model with the objective of minimizing total passenger delay. Then, the optimization software CPLEX is employed to solve the proposed mathematical model. The effectiveness and the efficiency of the proposed method are demonstrated by a numerical example.","PeriodicalId":142509,"journal":{"name":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117126261","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 : 2022-02-25DOI: 10.1109/ICoPESA54515.2022.9754446
Jing Lu, Pengfei Wang, Yanan Wu, Jun Li, Junming Zhang, Yunxiang Tian, Jun Tao, H. Mao
The hybrid active power filter (HAPF) is an effective measure to suppress the harmonic resonance of power system with high-voltage and large-capacity harmonic compensation. Compared with the single use of active power filter (APF), the passive resonance of HAPF further reduces the capacity of APF and improves the large-capacity application. Thus, it is an important scientific issue to study the passive resonance damping relationship of HAPF. This paper analyzes the passive damping resonance method of HAPF in Tokamak power supply. Based on the harmony search model, a parameter optimization method is proposed, and the improved harmony algorithm is introduced to solve the passive damping optimization parameters. The passive damping optimization method is validated by MATLAB/Simulink simulation and experiments.
{"title":"Research on Optimization Method of Passive Resonance Damping of Hybrid Active Power Filter","authors":"Jing Lu, Pengfei Wang, Yanan Wu, Jun Li, Junming Zhang, Yunxiang Tian, Jun Tao, H. Mao","doi":"10.1109/ICoPESA54515.2022.9754446","DOIUrl":"https://doi.org/10.1109/ICoPESA54515.2022.9754446","url":null,"abstract":"The hybrid active power filter (HAPF) is an effective measure to suppress the harmonic resonance of power system with high-voltage and large-capacity harmonic compensation. Compared with the single use of active power filter (APF), the passive resonance of HAPF further reduces the capacity of APF and improves the large-capacity application. Thus, it is an important scientific issue to study the passive resonance damping relationship of HAPF. This paper analyzes the passive damping resonance method of HAPF in Tokamak power supply. Based on the harmony search model, a parameter optimization method is proposed, and the improved harmony algorithm is introduced to solve the passive damping optimization parameters. The passive damping optimization method is validated by MATLAB/Simulink simulation and experiments.","PeriodicalId":142509,"journal":{"name":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121360025","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 : 2022-02-25DOI: 10.1109/ICoPESA54515.2022.9754406
Muaiz Ali, M. Hossain, M. Shafiullah
The direct current (DC) systems have outstanding advantages compared to the alternating current (AC), especially when it comes to renewable energy resources (RER) and microgrids (MGs). Therefore, the DC microgrid (DCMG) has become popular and drawn the attention of researchers. Due to the integration of different power sources in the single DC bus, including solar photovoltaics (PV), wind farms, diesel generators, and energy storage systems, maintaining stable bus voltage requires a complicated control system to ensure a fast-decision-making procedure. This paper presents an energy management strategy for the DCMG using a fuzzy logic-based controller. The proposed DCMG uses a hybrid energy storage system (HESS) for energy balancing and a diesel generator as a backup. The proposed strategy uses generation and loads demand and battery state of charge (SoC) to control the power flow within the MG. The energy management system keeps the SoC in a suitable range to increase the battery life. By controlling the charging and discharging of the HESS, the proposed method has a fast response to the load variation and RER intermittency to prevent the fluctuation of the voltage level of the DC bus and keep it constant. The obtained results validate the efficacy of the proposed fuzzy logic controller.
{"title":"Fuzzy Logic for Energy Management in Hybrid Energy Storage Systems Integrated DC Microgrid","authors":"Muaiz Ali, M. Hossain, M. Shafiullah","doi":"10.1109/ICoPESA54515.2022.9754406","DOIUrl":"https://doi.org/10.1109/ICoPESA54515.2022.9754406","url":null,"abstract":"The direct current (DC) systems have outstanding advantages compared to the alternating current (AC), especially when it comes to renewable energy resources (RER) and microgrids (MGs). Therefore, the DC microgrid (DCMG) has become popular and drawn the attention of researchers. Due to the integration of different power sources in the single DC bus, including solar photovoltaics (PV), wind farms, diesel generators, and energy storage systems, maintaining stable bus voltage requires a complicated control system to ensure a fast-decision-making procedure. This paper presents an energy management strategy for the DCMG using a fuzzy logic-based controller. The proposed DCMG uses a hybrid energy storage system (HESS) for energy balancing and a diesel generator as a backup. The proposed strategy uses generation and loads demand and battery state of charge (SoC) to control the power flow within the MG. The energy management system keeps the SoC in a suitable range to increase the battery life. By controlling the charging and discharging of the HESS, the proposed method has a fast response to the load variation and RER intermittency to prevent the fluctuation of the voltage level of the DC bus and keep it constant. The obtained results validate the efficacy of the proposed fuzzy logic controller.","PeriodicalId":142509,"journal":{"name":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127108462","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 : 2022-02-25DOI: 10.1109/ICoPESA54515.2022.9754449
Yufei Li, Fei Wang, Xiayun Feng
Different with conventional uninterrupted power supply (UPS) system, improving power sharing and reducing circulating-current resonance are important to islanded micro-grid because of the unstructured impedance networks decided by the uneven distribution of power converters and electrical loads. Virtual impedance control, as an improved droop control, is widely used to solve these problems. However, voltage drop of the load will be aggravated with increase of the virtual impedance. This paper aims to reveal disadvantages of the virtual impedance control and a novel adaptive voltage integral control is proposed to solve the voltage drop problem and enhance power sharing autonomously through key parameters. The proposed adaptive control is compared with the virtual impedance control in aspect of circulating-current resonance by impedance analysis. The correctness and effectiveness of the proposed method are verified by simulations and experiments.
{"title":"A Novel Adaptive Voltage Integral Control for Improving Power Sharing and Circulating-Current Resonance in Islanded Micro-grid","authors":"Yufei Li, Fei Wang, Xiayun Feng","doi":"10.1109/ICoPESA54515.2022.9754449","DOIUrl":"https://doi.org/10.1109/ICoPESA54515.2022.9754449","url":null,"abstract":"Different with conventional uninterrupted power supply (UPS) system, improving power sharing and reducing circulating-current resonance are important to islanded micro-grid because of the unstructured impedance networks decided by the uneven distribution of power converters and electrical loads. Virtual impedance control, as an improved droop control, is widely used to solve these problems. However, voltage drop of the load will be aggravated with increase of the virtual impedance. This paper aims to reveal disadvantages of the virtual impedance control and a novel adaptive voltage integral control is proposed to solve the voltage drop problem and enhance power sharing autonomously through key parameters. The proposed adaptive control is compared with the virtual impedance control in aspect of circulating-current resonance by impedance analysis. The correctness and effectiveness of the proposed method are verified by simulations and experiments.","PeriodicalId":142509,"journal":{"name":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124072381","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 : 2022-02-25DOI: 10.1109/ICoPESA54515.2022.9754477
Ziyi Wang, Zengqiao Chen, R. Wennersten, Qie Sun
As production technologies of photovoltaic (PV) panels continue to improve, the balance-of-system (BOS) of a PV energy system account for an increasingly large share in the system’s overall environmental impacts, while little attention has been paid to BOSs from a life cycle assessment (LCA) perspective. Based on a thorough literature review, a rigorous definition and a clear system boundary of BOS were proposed in this study. A comprehensive LCA of PV BOSs was thus implemented in terms of different installation typologies. Results show that, for a 1 kW PV system, the BOS’s global warming potential (GWP) is 1.54E+05 kgCO2eq, its greenhouse gas (GHG) emissions are 1.67E+05 kgCO2eq, and its cumulative energy demand (CED) is 2.04E+06 MJ. In the BOS, car-based mobile washing contributes to the major impacts, while system mounting and module interconnection have major environmental impacts. In the installation typologies, in-roof slanted turns have relative advantages over the others in terms of environmental impacts.
{"title":"Life Cycle Assessment for Balance-of-System of Photovoltaic Energy Systems","authors":"Ziyi Wang, Zengqiao Chen, R. Wennersten, Qie Sun","doi":"10.1109/ICoPESA54515.2022.9754477","DOIUrl":"https://doi.org/10.1109/ICoPESA54515.2022.9754477","url":null,"abstract":"As production technologies of photovoltaic (PV) panels continue to improve, the balance-of-system (BOS) of a PV energy system account for an increasingly large share in the system’s overall environmental impacts, while little attention has been paid to BOSs from a life cycle assessment (LCA) perspective. Based on a thorough literature review, a rigorous definition and a clear system boundary of BOS were proposed in this study. A comprehensive LCA of PV BOSs was thus implemented in terms of different installation typologies. Results show that, for a 1 kW PV system, the BOS’s global warming potential (GWP) is 1.54E+05 kgCO2eq, its greenhouse gas (GHG) emissions are 1.67E+05 kgCO2eq, and its cumulative energy demand (CED) is 2.04E+06 MJ. In the BOS, car-based mobile washing contributes to the major impacts, while system mounting and module interconnection have major environmental impacts. In the installation typologies, in-roof slanted turns have relative advantages over the others in terms of environmental impacts.","PeriodicalId":142509,"journal":{"name":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124422753","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}
In the context of building new power system for China, it is crucial to explore the demand response potential of industrial customers in depth. In this paper, we will analyze the demand response characteristics of industrial loads and summarize the industrial process modeling approaches, as well as the demand response potential assessment. The key role of distributed energy resource in industrial demand response is introduced. Next, it discusses the key technologies required for establishing a flexible and efficient market model and supporting the accesses of numerous distributed industrial users. Additionally, the practices and progresses of industrial demand response in China are summarized. Finally, several suggestions are provided for the construction of industrial demand response mechanisms in China under the current situation.
{"title":"Distributed Energy Resource-Assisted Industrial Demand Response: A Survey on Technologies, Business Models, and Applications in China","authors":"Xinyun Dai, Haoyong Chen, Dongliang Xiao, Qianya He, Yuxiang Huang","doi":"10.1109/ICoPESA54515.2022.9754430","DOIUrl":"https://doi.org/10.1109/ICoPESA54515.2022.9754430","url":null,"abstract":"In the context of building new power system for China, it is crucial to explore the demand response potential of industrial customers in depth. In this paper, we will analyze the demand response characteristics of industrial loads and summarize the industrial process modeling approaches, as well as the demand response potential assessment. The key role of distributed energy resource in industrial demand response is introduced. Next, it discusses the key technologies required for establishing a flexible and efficient market model and supporting the accesses of numerous distributed industrial users. Additionally, the practices and progresses of industrial demand response in China are summarized. Finally, several suggestions are provided for the construction of industrial demand response mechanisms in China under the current situation.","PeriodicalId":142509,"journal":{"name":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127774319","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 : 2022-02-25DOI: 10.1109/ICoPESA54515.2022.9754439
Junfeng Ma, Sha Ma, Tao Peng, W. Gui
This study investigates the min-max optimal control of high-speed train movements considering worst-case exogenous disturbances and uncertain parameters simultaneously. For a high-speed train, each car is modeled as a point mass connected by flexible coupling to track the reference speed profile of the train. Based on the robust model predictive control (RMPC) approach, a min-max optimal control problem is formulated to reduce the energy consumption and tracking errors while satisfying some individual constraints. The desired control inputs can be obtained by solving the min-max optimization problem.
{"title":"Min-Max Optimal Control for High-Speed Train Movements with Exogenous Disturbances and Uncertain Parameters","authors":"Junfeng Ma, Sha Ma, Tao Peng, W. Gui","doi":"10.1109/ICoPESA54515.2022.9754439","DOIUrl":"https://doi.org/10.1109/ICoPESA54515.2022.9754439","url":null,"abstract":"This study investigates the min-max optimal control of high-speed train movements considering worst-case exogenous disturbances and uncertain parameters simultaneously. For a high-speed train, each car is modeled as a point mass connected by flexible coupling to track the reference speed profile of the train. Based on the robust model predictive control (RMPC) approach, a min-max optimal control problem is formulated to reduce the energy consumption and tracking errors while satisfying some individual constraints. The desired control inputs can be obtained by solving the min-max optimization problem.","PeriodicalId":142509,"journal":{"name":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132231036","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 : 2022-02-25DOI: 10.1109/ICoPESA54515.2022.9754468
Xin Qiao, Zengping Wang, Zhenzhao Li
Machine learning is playing an increasingly important role in transient stability assessment. One of the key challenges of machine learning-based transient stability assessment in the case of dealing with large-scale and high-dimensional data samples of AC-DC power systems is to eliminate redundant variables to improve the training speed and quickly determine the optimal parameters of the adopted algorithms. Aiming at this problem, this paper proposes a Bayesian optimization-based XGBoost (B-XGBoost) method for transient stability assessment of power systems. The method uses serial integration of multiple regression trees to calculate the importance ranking of transient stability features. Combined with correlation analysis, the relationship between input data and transient stability can be explored more intuitively, and redundant variables can be eliminated; Bayesian optimization is used in training to quickly determine the best parameters of the model. Simulations are performed in a 39-node AC-DC system, and the results show that the B-XGBoost transient stability evaluation method has higher accuracy and a significant advantage in speed compared with other machine learning-based methods such as GBDT, DBN, RF, SVM.
{"title":"Transient Stability Assessment for AC-DC Hybrid Systems Based on Bayesian Optimization XGBoost","authors":"Xin Qiao, Zengping Wang, Zhenzhao Li","doi":"10.1109/ICoPESA54515.2022.9754468","DOIUrl":"https://doi.org/10.1109/ICoPESA54515.2022.9754468","url":null,"abstract":"Machine learning is playing an increasingly important role in transient stability assessment. One of the key challenges of machine learning-based transient stability assessment in the case of dealing with large-scale and high-dimensional data samples of AC-DC power systems is to eliminate redundant variables to improve the training speed and quickly determine the optimal parameters of the adopted algorithms. Aiming at this problem, this paper proposes a Bayesian optimization-based XGBoost (B-XGBoost) method for transient stability assessment of power systems. The method uses serial integration of multiple regression trees to calculate the importance ranking of transient stability features. Combined with correlation analysis, the relationship between input data and transient stability can be explored more intuitively, and redundant variables can be eliminated; Bayesian optimization is used in training to quickly determine the best parameters of the model. Simulations are performed in a 39-node AC-DC system, and the results show that the B-XGBoost transient stability evaluation method has higher accuracy and a significant advantage in speed compared with other machine learning-based methods such as GBDT, DBN, RF, SVM.","PeriodicalId":142509,"journal":{"name":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134349854","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 : 2022-02-25DOI: 10.1109/ICoPESA54515.2022.9754469
Xiaoming Liu, Chuanlian Luo, Shu Han, Yuanhong Zhong, Zhiyong Huang, Yan Yang
With the continuous improvement of wireless communication technology, expanding wireless communication infrastructures consume more energy than ever before. This situation raises the need to improve energy efficiency. This paper considers system energy efficiency optimization with SWIPT technology in cooperative wireless network. And as the value of power split ratio affects the energy efficiency of the transmission network, a continuously adjustable power splitter in the SWIPT receiver is designed. Based on the continuous power distribution coefficient ρ, we give a cooperative SWIPT transmission network model and a transmission energy efficiency optimization problem. Compared with the traditional SWIPT transmission scheme based on discrete power splitter, our method is more practical for engineering. Our simulation results demonstrate that our method can improve the energy efficiency of the transmission network.
{"title":"Energy Efficiency Optimization for Cooperative SWIPT Network Based on Continuously Adjustable Power Splitter","authors":"Xiaoming Liu, Chuanlian Luo, Shu Han, Yuanhong Zhong, Zhiyong Huang, Yan Yang","doi":"10.1109/ICoPESA54515.2022.9754469","DOIUrl":"https://doi.org/10.1109/ICoPESA54515.2022.9754469","url":null,"abstract":"With the continuous improvement of wireless communication technology, expanding wireless communication infrastructures consume more energy than ever before. This situation raises the need to improve energy efficiency. This paper considers system energy efficiency optimization with SWIPT technology in cooperative wireless network. And as the value of power split ratio affects the energy efficiency of the transmission network, a continuously adjustable power splitter in the SWIPT receiver is designed. Based on the continuous power distribution coefficient ρ, we give a cooperative SWIPT transmission network model and a transmission energy efficiency optimization problem. Compared with the traditional SWIPT transmission scheme based on discrete power splitter, our method is more practical for engineering. Our simulation results demonstrate that our method can improve the energy efficiency of the transmission network.","PeriodicalId":142509,"journal":{"name":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"295 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116371214","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 : 2022-02-25DOI: 10.1109/ICoPESA54515.2022.9754447
Jin Lin, Zhang Xinxin, C. Lijun, Hu Xiaowan
Based on the key units of meteorological disaster prevention in Shanghai as a specific object, the research on lightning protection safety risk assessment method is carried out. By analyzing the attribute characteristics of key units of meteorological disaster prevention, combined with three important factors such as lightning risk factor, disaster bearing body exposure and disaster prevention ability, the lightning protection safety risk assessment index system and calculation model are established, The key meteorological disaster prevention units are quantitatively evaluated and the risk grade classification standard is formulated, so as to dynamically determine the lightning disaster risk grade of key units.
{"title":"Lightning Protection Safety Risk Assessment Method for Key Units of Meteorological Disaster Prevention","authors":"Jin Lin, Zhang Xinxin, C. Lijun, Hu Xiaowan","doi":"10.1109/ICoPESA54515.2022.9754447","DOIUrl":"https://doi.org/10.1109/ICoPESA54515.2022.9754447","url":null,"abstract":"Based on the key units of meteorological disaster prevention in Shanghai as a specific object, the research on lightning protection safety risk assessment method is carried out. By analyzing the attribute characteristics of key units of meteorological disaster prevention, combined with three important factors such as lightning risk factor, disaster bearing body exposure and disaster prevention ability, the lightning protection safety risk assessment index system and calculation model are established, The key meteorological disaster prevention units are quantitatively evaluated and the risk grade classification standard is formulated, so as to dynamically determine the lightning disaster risk grade of key units.","PeriodicalId":142509,"journal":{"name":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116407277","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：