{"title":"基于神经模糊控制器的STATCOM暂态稳定性改进设计","authors":"P. Dhal, C. Rajan","doi":"10.9790/1676-0223745","DOIUrl":null,"url":null,"abstract":"This paper presents a transient stability improvement using neural-fuzzy controller design for STATCOM with static synchronous time critical error and better damping system oscillations after a short circuit fault. This article on a STATCOM Control for transient stability improvement has proposed a system to meet with the addition of Lyapunov stability criterion to the ability and conditions as well. The performance is analyzed using digital simulation with (SMIB) with infinite bus.","PeriodicalId":155611,"journal":{"name":"IEEE-International Conference On Advances In Engineering, Science And Management (ICAESM -2012)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Transient stability improvement using neuro-fuzzy controller design for STATCOM\",\"authors\":\"P. Dhal, C. Rajan\",\"doi\":\"10.9790/1676-0223745\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a transient stability improvement using neural-fuzzy controller design for STATCOM with static synchronous time critical error and better damping system oscillations after a short circuit fault. This article on a STATCOM Control for transient stability improvement has proposed a system to meet with the addition of Lyapunov stability criterion to the ability and conditions as well. The performance is analyzed using digital simulation with (SMIB) with infinite bus.\",\"PeriodicalId\":155611,\"journal\":{\"name\":\"IEEE-International Conference On Advances In Engineering, Science And Management (ICAESM -2012)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-03-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE-International Conference On Advances In Engineering, Science And Management (ICAESM -2012)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.9790/1676-0223745\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE-International Conference On Advances In Engineering, Science And Management (ICAESM -2012)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.9790/1676-0223745","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Transient stability improvement using neuro-fuzzy controller design for STATCOM
This paper presents a transient stability improvement using neural-fuzzy controller design for STATCOM with static synchronous time critical error and better damping system oscillations after a short circuit fault. This article on a STATCOM Control for transient stability improvement has proposed a system to meet with the addition of Lyapunov stability criterion to the ability and conditions as well. The performance is analyzed using digital simulation with (SMIB) with infinite bus.