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2020 5th International Conference on Power and Renewable Energy (ICPRE)最新文献

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Risk Optimization and Sensitivity Analysis to Security and Stability Control System with Routine Test Interval 具有常规测试间隔的安全稳定控制系统风险优化及灵敏度分析
2020 5th International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2020-09-12 DOI: 10.1109/ICPRE51194.2020.9233292
Yunsong Yan, Ning Sun, N. Zhang, Shenghu Li, Mingying Li, Dayang Wang
{"title":"Risk Optimization and Sensitivity Analysis to Security and Stability Control System with Routine Test Interval","authors":"Yunsong Yan, Ning Sun, N. Zhang, Shenghu Li, Mingying Li, Dayang Wang","doi":"10.1109/ICPRE51194.2020.9233292","DOIUrl":"https://doi.org/10.1109/ICPRE51194.2020.9233292","url":null,"abstract":"Interconnection of bulk power systems necessitates high reliability of Security & Stability Control System (SSCS). The routine test helps reduce the risk of unavailability of the SSCS. This paper newly proposed the optimization model to decide the optimal routine test interval, and the sensitivity model with respect to the upper/lower limits of the interval. At first, the fault tree and the state space models are derived for the SSCS. Then with the objective of reducing risk (and reducing economic loss), the equality constraints of the state probabilities, and the inequality constraints of the routine test interval and the cost, the optimization model to the interval is proposed. The Lagrange multipliers are found to describe the sensitivity of the objective function with respect to the limit of the intervals. Compared with repeated calculations, the proposed models are more efficient, and can deal with multiple parameters. The numerical results are given to show the application value of the proposed models.","PeriodicalId":394287,"journal":{"name":"2020 5th International Conference on Power and Renewable Energy (ICPRE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117014737","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}
引用次数: 1
Diagnosis and Analysis of Abnormal Heat for Gas Insulated Metal-enclosed Switchgear 气体绝缘金属封闭开关设备异常热的诊断与分析
2020 5th International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2020-09-12 DOI: 10.1109/ICPRE51194.2020.9233204
Yongxiang Li, Jiaqi Gao, Y. Yan, Zhixiang Liu, Yanpeng Li, Qingsong Chen
{"title":"Diagnosis and Analysis of Abnormal Heat for Gas Insulated Metal-enclosed Switchgear","authors":"Yongxiang Li, Jiaqi Gao, Y. Yan, Zhixiang Liu, Yanpeng Li, Qingsong Chen","doi":"10.1109/ICPRE51194.2020.9233204","DOIUrl":"https://doi.org/10.1109/ICPRE51194.2020.9233204","url":null,"abstract":"In order to achieve the safety and reliability running of gas insulated metal-enclosed switchgear (GIS), the abnormal heating types, detection methods and judgment basis are proposed by combining with the abnormal heating problem and application practice of infrared thermal imaging technology. The abnormal heating fault of GIS are researched and summarized such as the circuit breaker, disconnector, disc insulator bolt and shell grounding, etc. The abnormal heating reason of different parts are analyzed according to the related testing data, record of diagnostic test results and disintegration, and give out the processing scheme. The corresponding typical atlas are established, it provide a reliable data for cause and type of failure for the GIS equipment.","PeriodicalId":394287,"journal":{"name":"2020 5th International Conference on Power and Renewable Energy (ICPRE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124449832","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}
引用次数: 0
An Active Method for Detecting A DC Arc Fault in Photovoltaic Systems 光伏系统直流电弧故障主动检测方法
2020 5th International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2020-09-12 DOI: 10.1109/ICPRE51194.2020.9233141
Ze-hua Wang, Zhixin Wang, Jiangming Shen, Yong Zhang
{"title":"An Active Method for Detecting A DC Arc Fault in Photovoltaic Systems","authors":"Ze-hua Wang, Zhixin Wang, Jiangming Shen, Yong Zhang","doi":"10.1109/ICPRE51194.2020.9233141","DOIUrl":"https://doi.org/10.1109/ICPRE51194.2020.9233141","url":null,"abstract":"DC arc fault is the main cause of photovoltaic system and energy storage system electrical fire, which greatly threatens the safe and stable operation of PV system and energy storage system. At present, the research on PV system DC arc fault are in the initial stage both domestic and abroad. Based on the analysis of the current and voltage signal in the time or frequency domain, a method is adopted to determine whether the fault occurs in PV system. But this method is mainly passive method, which is greatly affected by external conditions such as inverter noise and different operating conditions. In this paper, an active photovoltaic DC arc fault detection method is proposed. The DC fault of PV system is identified by analyzing the characteristics of the current signal response on DC bus under the active injection of high-frequency signals. Simulation models are established to study the theoretical results of the proposed methodology and wavelet transform analysis of arcing faults.","PeriodicalId":394287,"journal":{"name":"2020 5th International Conference on Power and Renewable Energy (ICPRE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129048791","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}
引用次数: 0
Short-term Load Forecasting Based on Chaotic BP Neural Network United with Improved Particle Swarm Optimization 基于改进粒子群优化的混沌BP神经网络短期负荷预测
2020 5th International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2020-09-12 DOI: 10.1109/ICPRE51194.2020.9233225
Yanping Zhu, Huanhuan Fang, Qibin Meng, Tingting Li, Rong-zhen Zhao
{"title":"Short-term Load Forecasting Based on Chaotic BP Neural Network United with Improved Particle Swarm Optimization","authors":"Yanping Zhu, Huanhuan Fang, Qibin Meng, Tingting Li, Rong-zhen Zhao","doi":"10.1109/ICPRE51194.2020.9233225","DOIUrl":"https://doi.org/10.1109/ICPRE51194.2020.9233225","url":null,"abstract":"Short term load forecasting is the premise and guarantee for the safe and stable operation of power system. Based on the prediction method considering the similarity recognition of related factors, chaotic BP neural network (CBNN) united with improved particle swarm optimization (IPSO) model is proposed. The new hybrid algorithm combines the excellent learning ability of CBNN to capture relevant factors and the ability to obtain global optimal value in IPSO. In view of the shortcomings of CBNN, such as the difficulty of parameter determination and slow speed, the new hybrid algorithm is used to optimize the parameters of CBNN, so as to improve the global searching ability of the algorithm. Finally, the future load is predicted by an example; it verifies the feasibility and practicability of the new model, which is better than IPSO and IPSO respectively.","PeriodicalId":394287,"journal":{"name":"2020 5th International Conference on Power and Renewable Energy (ICPRE)","volume":"89 4 Pt 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129090844","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}
引用次数: 1
Short-Term Load Forecasting Based on SARIMAX-LSTM 基于SARIMAX-LSTM的短期负荷预测
2020 5th International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2020-09-12 DOI: 10.1109/ICPRE51194.2020.9233117
Feng Sheng, L. Jia
{"title":"Short-Term Load Forecasting Based on SARIMAX-LSTM","authors":"Feng Sheng, L. Jia","doi":"10.1109/ICPRE51194.2020.9233117","DOIUrl":"https://doi.org/10.1109/ICPRE51194.2020.9233117","url":null,"abstract":"Load forecasting has been the focus of energy management system. In recent years, in addition to some traditional time series forecasting models, with the continuous development of machine learning, many models based on deep learning can also be applied to load forecasting. Different from the existing work, a hybrid model of SARIMAX-LSTM is presented in this paper, in which the SARIMAX model fits and predicts the data, obtains the fitting residual and prediction results, and then uses the LSTM network to predict the prediction error of the SARIMAX model, and modifies the prediction results of the SARIMAX model. In this paper, taking the actual load time series of a city as experimental data, this model is compared with SARIMAX model, LSTM model and SARIMAX-BP model. Experiments show that the model can be well adapted to short-term load forecasting and has the best forecasting effect.","PeriodicalId":394287,"journal":{"name":"2020 5th International Conference on Power and Renewable Energy (ICPRE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131070128","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}
引用次数: 15
A Classification and Synthesis Method for Load Characteristics of Typical Industry Based on Daily Electricity Consumption Curves 基于日用电量曲线的典型工业负荷特性分类综合方法
2020 5th International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2020-09-12 DOI: 10.1109/ICPRE51194.2020.9233159
Junying Song, Zhenyu Mao, Xinran Li, Taowen Liu, W. Zhong, Yiwei Cui
{"title":"A Classification and Synthesis Method for Load Characteristics of Typical Industry Based on Daily Electricity Consumption Curves","authors":"Junying Song, Zhenyu Mao, Xinran Li, Taowen Liu, W. Zhong, Yiwei Cui","doi":"10.1109/ICPRE51194.2020.9233159","DOIUrl":"https://doi.org/10.1109/ICPRE51194.2020.9233159","url":null,"abstract":"Since the daily load power curves only considers the instantaneous power characteristics of the data point, the larger consumers' load disturbance will affect the ability of the daily load curves to describe the actual load characteristics. Taking the daily load power curves as the only basis to represent the actual load characteristics of consumers may cause misjudgment and bring errors to the description of typical industry load characteristics. In order to solve such problems, this paper uses the traditional K-means clustering technology to obtain daily electricity consumption curves based on the power user electric energy data acquire system, and then obtains more accurate typical industry cluster center curves, and proposes a classification and synthesis method of typical industry load characteristics based on consumers' daily electricity consumption curves. The results show that compared with the traditional clustering method of daily load power curves, the proposed method has certain advantages in clustering results, clustering quality and clustering accuracy.It overcomes the limitations of daily load power curves itself, has the advantage of reflecting the overall trend of load change, and can truly reflect the electricity consumption characteristics of consumers in this area, so it has a good application prospect.","PeriodicalId":394287,"journal":{"name":"2020 5th International Conference on Power and Renewable Energy (ICPRE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130530846","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}
引用次数: 1
[Copyright notice] (版权)
2020 5th International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2020-09-12 DOI: 10.1109/icpre51194.2020.9233230
{"title":"[Copyright notice]","authors":"","doi":"10.1109/icpre51194.2020.9233230","DOIUrl":"https://doi.org/10.1109/icpre51194.2020.9233230","url":null,"abstract":"","PeriodicalId":394287,"journal":{"name":"2020 5th International Conference on Power and Renewable Energy (ICPRE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132276571","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}
引用次数: 0
Reciprocating Connection of Dual Active Bridge DC/DC Converter with PV Integration 双有源桥式DC/DC变换器与PV集成的往复连接
2020 5th International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2020-09-12 DOI: 10.1109/ICPRE51194.2020.9233291
Ghansham Meghwar, Deng Weicheng, Muhammad Bawazeer, Jianzhong Xu
{"title":"Reciprocating Connection of Dual Active Bridge DC/DC Converter with PV Integration","authors":"Ghansham Meghwar, Deng Weicheng, Muhammad Bawazeer, Jianzhong Xu","doi":"10.1109/ICPRE51194.2020.9233291","DOIUrl":"https://doi.org/10.1109/ICPRE51194.2020.9233291","url":null,"abstract":"Due to the renewable energy integration in the electric power network, interest of utilities towards using medium voltage DC in the utility network is increasing gradually, so this paper proposes interconnection between the main AC grid and the PV power plant based on dual active bridge (DAB) DC/DC converters with reciprocating connection. The dual active full-bridge (DAB) has many advantages such as electrical isolation, high-ratio buck-boost, easy soft-switching control, and multiple modularization through series-parallel combination. This paper focuses input series output parallel (ISOP) dual active bridge (DAB) DC/DC converters, and the reciprocating connection can provide different medium voltage levels at the output, facilitating the connection of main grid and PV power plant. Considering the modular parallel operation of the DAB converter in high-power applications, the power balance problem of the parallel output DAB converter is discussed in a more detailed way. For the validation of the feasibility of model proposed in this paper, it is simulated and analyzed in Power System Computer Aided Design (PSCAD).","PeriodicalId":394287,"journal":{"name":"2020 5th International Conference on Power and Renewable Energy (ICPRE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130441243","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}
引用次数: 0
Research and Design of Integrated System for Battery Charge Discharge and Repair 电池充放电维修集成系统的研究与设计
2020 5th International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2020-09-12 DOI: 10.1109/ICPRE51194.2020.9233300
Chongxing Ji, Yang-Jing Zhou, Dunhua Zhao, Yuanhung Lien, Yunchen Liu, Min Yu, Hang Li
{"title":"Research and Design of Integrated System for Battery Charge Discharge and Repair","authors":"Chongxing Ji, Yang-Jing Zhou, Dunhua Zhao, Yuanhung Lien, Yunchen Liu, Min Yu, Hang Li","doi":"10.1109/ICPRE51194.2020.9233300","DOIUrl":"https://doi.org/10.1109/ICPRE51194.2020.9233300","url":null,"abstract":"This paper introduces the causes of the capacity decline of lead-acid batteries, and has been converted into practical repair equipment based on the mainstream repair theory and method in the market. The traditional repair equipment is integrated and improved. At present, most of the charger and discharger repair equipment in the market are independent, so no matter from the R & D personnel or ordinary users, the use cost is undoubtedly increased and not convenient. In this paper, the theory of battery charge and discharge and the theory of battery repair are introduced. The theory is transformed into practice, the hardware framework of the system is analyzed, and the circuit design details of each module are analyzed. Finally, the software control flow is analyzed with repair as an example. How to use PWM technology to control the control parameters in repair is analyzed in detail. Finally, the effect of the repair equipment was tested.","PeriodicalId":394287,"journal":{"name":"2020 5th International Conference on Power and Renewable Energy (ICPRE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125816710","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}
引用次数: 0
Multi-objective Robust Optimization of Microgrid System with Electric Vehicles and New Renewable Energy 电动汽车与新可再生能源微电网系统多目标鲁棒优化
2020 5th International Conference on Power and Renewable Energy (ICPRE) Pub Date : 2020-09-12 DOI: 10.1109/ICPRE51194.2020.9233187
Puhao Li, D. Peng, Danhao Wang, S. Shi, Jiawen Lu, Jun Yao, Zhixin Wang
{"title":"Multi-objective Robust Optimization of Microgrid System with Electric Vehicles and New Renewable Energy","authors":"Puhao Li, D. Peng, Danhao Wang, S. Shi, Jiawen Lu, Jun Yao, Zhixin Wang","doi":"10.1109/ICPRE51194.2020.9233187","DOIUrl":"https://doi.org/10.1109/ICPRE51194.2020.9233187","url":null,"abstract":"This paper proposed an adjustable robust optimization algorithm based on interval prediction theory, which integrates photovoltaic power unit, energy storage system and electric vehicle charging station. Based on the interval prediction theory, the mathematical models are established respectively, and the adjustable robust optimal scheduling model is constructed. Besides, an uncertain group scheduling method is proposed for the arrival time of electric vehicles, the number of uncertain factors is determined by setting robust optimization parameters. The model transformed into a linear model by decoupling, solved by lagrange relaxation algorithm, and the effectiveness of the optimization algorithm is verified by introducing the probability of violating load reserve constraints. The case combined photovoltaic power unit, energy storage system and electric vehicle charging station demonstrates the robustness and economy of the system.","PeriodicalId":394287,"journal":{"name":"2020 5th International Conference on Power and Renewable Energy (ICPRE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120959476","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}
引用次数: 1
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