{"title":"基于改进SimuAPSO算法的PSS4B调谐","authors":"Jian Wu, D. Jia, Zihang Yuan, Dianguo Xu","doi":"10.1109/REPE52765.2021.9617110","DOIUrl":null,"url":null,"abstract":"Low frequency oscillation of power system has become an important problem because of the increasing complexity of power network. Multi-band power system stabilizer (PSS4B) has been widely used in power systems because it can improve the dynamic stability of the system in a large frequency range. Therefore, it is an essential task in power system operation to adjust PSS parameters to obtain satisfactory performance. In this paper, an improved particle swarm optimization (PSO) algorithm is proposed and used to tune the PSS parameters. Then, this paper investigates the power system dynamic performances affected by the tuned PSS parameters. Through time domain transient stability simulation, the results show that due to the complexity of low-frequency oscillation in the actual system, setting the PSS4B parameters according to IEEE standard can not guarantee well system performance, and the optimization based method can be used to improve the systems' performance.","PeriodicalId":136285,"journal":{"name":"2021 IEEE 4th International Conference on Renewable Energy and Power Engineering (REPE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Tunning of PSS4B Using Improved SimuAPSO Algorithm\",\"authors\":\"Jian Wu, D. Jia, Zihang Yuan, Dianguo Xu\",\"doi\":\"10.1109/REPE52765.2021.9617110\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Low frequency oscillation of power system has become an important problem because of the increasing complexity of power network. Multi-band power system stabilizer (PSS4B) has been widely used in power systems because it can improve the dynamic stability of the system in a large frequency range. Therefore, it is an essential task in power system operation to adjust PSS parameters to obtain satisfactory performance. In this paper, an improved particle swarm optimization (PSO) algorithm is proposed and used to tune the PSS parameters. Then, this paper investigates the power system dynamic performances affected by the tuned PSS parameters. Through time domain transient stability simulation, the results show that due to the complexity of low-frequency oscillation in the actual system, setting the PSS4B parameters according to IEEE standard can not guarantee well system performance, and the optimization based method can be used to improve the systems' performance.\",\"PeriodicalId\":136285,\"journal\":{\"name\":\"2021 IEEE 4th International Conference on Renewable Energy and Power Engineering (REPE)\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 4th International Conference on Renewable Energy and Power Engineering (REPE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/REPE52765.2021.9617110\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 4th International Conference on Renewable Energy and Power Engineering (REPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/REPE52765.2021.9617110","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Tunning of PSS4B Using Improved SimuAPSO Algorithm
Low frequency oscillation of power system has become an important problem because of the increasing complexity of power network. Multi-band power system stabilizer (PSS4B) has been widely used in power systems because it can improve the dynamic stability of the system in a large frequency range. Therefore, it is an essential task in power system operation to adjust PSS parameters to obtain satisfactory performance. In this paper, an improved particle swarm optimization (PSO) algorithm is proposed and used to tune the PSS parameters. Then, this paper investigates the power system dynamic performances affected by the tuned PSS parameters. Through time domain transient stability simulation, the results show that due to the complexity of low-frequency oscillation in the actual system, setting the PSS4B parameters according to IEEE standard can not guarantee well system performance, and the optimization based method can be used to improve the systems' performance.