J. Cheng, Yurui He, Huwei Cao, H. Shi, Jing Hu, T. Ding
{"title":"基于自适应加权粒子群算法的改善电压质量的分布式发电优化配置","authors":"J. Cheng, Yurui He, Huwei Cao, H. Shi, Jing Hu, T. Ding","doi":"10.1109/ICHQP46026.2020.9177877","DOIUrl":null,"url":null,"abstract":"Aiming at the problem of over-limit of distribution network node voltages caused by high-permeability distributed generation (DG) grid connection, the influence that single and multiple DG grid connection has on voltage distribution is analyzed firstly, and the different influencing factors such as DGs connection mode, capacity, location, and power factor are analyzed. Secondly, the minimization of total voltage deviation is taken as the target, and the optimal configuration mathematical model of DG considering various constraints such as power flow, node voltage, branch current, and DG capacity is established, and it is solved by adaptive weighted particle swarm optimization (AWPSO) algorithm. Finally, the IEEE33 node distribution network model is taken as an example to verify the rationality and effectiveness of the above method. The results show that the method can effectively control voltage deviation and network loss.","PeriodicalId":436720,"journal":{"name":"2020 19th International Conference on Harmonics and Quality of Power (ICHQP)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Optimal Configuration of Distributed Generation for Improving Voltage Quality Based on Adaptive Weighted PSO\",\"authors\":\"J. Cheng, Yurui He, Huwei Cao, H. Shi, Jing Hu, T. Ding\",\"doi\":\"10.1109/ICHQP46026.2020.9177877\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aiming at the problem of over-limit of distribution network node voltages caused by high-permeability distributed generation (DG) grid connection, the influence that single and multiple DG grid connection has on voltage distribution is analyzed firstly, and the different influencing factors such as DGs connection mode, capacity, location, and power factor are analyzed. Secondly, the minimization of total voltage deviation is taken as the target, and the optimal configuration mathematical model of DG considering various constraints such as power flow, node voltage, branch current, and DG capacity is established, and it is solved by adaptive weighted particle swarm optimization (AWPSO) algorithm. Finally, the IEEE33 node distribution network model is taken as an example to verify the rationality and effectiveness of the above method. The results show that the method can effectively control voltage deviation and network loss.\",\"PeriodicalId\":436720,\"journal\":{\"name\":\"2020 19th International Conference on Harmonics and Quality of Power (ICHQP)\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 19th International Conference on Harmonics and Quality of Power (ICHQP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICHQP46026.2020.9177877\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 19th International Conference on Harmonics and Quality of Power (ICHQP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICHQP46026.2020.9177877","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal Configuration of Distributed Generation for Improving Voltage Quality Based on Adaptive Weighted PSO
Aiming at the problem of over-limit of distribution network node voltages caused by high-permeability distributed generation (DG) grid connection, the influence that single and multiple DG grid connection has on voltage distribution is analyzed firstly, and the different influencing factors such as DGs connection mode, capacity, location, and power factor are analyzed. Secondly, the minimization of total voltage deviation is taken as the target, and the optimal configuration mathematical model of DG considering various constraints such as power flow, node voltage, branch current, and DG capacity is established, and it is solved by adaptive weighted particle swarm optimization (AWPSO) algorithm. Finally, the IEEE33 node distribution network model is taken as an example to verify the rationality and effectiveness of the above method. The results show that the method can effectively control voltage deviation and network loss.