{"title":"区间2型模糊控制器作为电力系统的稳定器","authors":"M. Panda, G. Pillai, Vijay Kumar","doi":"10.1109/APCET.2012.6302033","DOIUrl":null,"url":null,"abstract":"An interval type-2 fuzzy logic controller (IT2FLC) is proposed in this paper for the design of power system stabilizer (PSS) applied for both single machine infinite bus (SMIB) and multi machine system incorporated with an AC1A exciter. For controller design, membership functions of system variables are represented using interval value fuzzy sets. Fuzzy logic based on interval value sets is capable of modeling the uncertainty and imprecision in a better way. The proposed controller performance is compared with the optimal lead lag and optimal type-1 fuzzy logic controller respectively reference to damp the oscillations of the system. Simulation results show not only the improve performance of the proposed controller but also it is robust with respect to system parameter variations and applied disturbances. This electronic document is a “live” template. The various components of your paper [title, text, heads, etc.] are already defined on the style sheet, as illustrated by the portions given in this document.","PeriodicalId":184844,"journal":{"name":"2012 International Conference on Advances in Power Conversion and Energy Technologies (APCET)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Interval type-2 fuzzy logic controller as a power system stabilizer\",\"authors\":\"M. Panda, G. Pillai, Vijay Kumar\",\"doi\":\"10.1109/APCET.2012.6302033\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An interval type-2 fuzzy logic controller (IT2FLC) is proposed in this paper for the design of power system stabilizer (PSS) applied for both single machine infinite bus (SMIB) and multi machine system incorporated with an AC1A exciter. For controller design, membership functions of system variables are represented using interval value fuzzy sets. Fuzzy logic based on interval value sets is capable of modeling the uncertainty and imprecision in a better way. The proposed controller performance is compared with the optimal lead lag and optimal type-1 fuzzy logic controller respectively reference to damp the oscillations of the system. Simulation results show not only the improve performance of the proposed controller but also it is robust with respect to system parameter variations and applied disturbances. This electronic document is a “live” template. The various components of your paper [title, text, heads, etc.] are already defined on the style sheet, as illustrated by the portions given in this document.\",\"PeriodicalId\":184844,\"journal\":{\"name\":\"2012 International Conference on Advances in Power Conversion and Energy Technologies (APCET)\",\"volume\":\"48 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-09-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Conference on Advances in Power Conversion and Energy Technologies (APCET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APCET.2012.6302033\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Advances in Power Conversion and Energy Technologies (APCET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APCET.2012.6302033","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Interval type-2 fuzzy logic controller as a power system stabilizer
An interval type-2 fuzzy logic controller (IT2FLC) is proposed in this paper for the design of power system stabilizer (PSS) applied for both single machine infinite bus (SMIB) and multi machine system incorporated with an AC1A exciter. For controller design, membership functions of system variables are represented using interval value fuzzy sets. Fuzzy logic based on interval value sets is capable of modeling the uncertainty and imprecision in a better way. The proposed controller performance is compared with the optimal lead lag and optimal type-1 fuzzy logic controller respectively reference to damp the oscillations of the system. Simulation results show not only the improve performance of the proposed controller but also it is robust with respect to system parameter variations and applied disturbances. This electronic document is a “live” template. The various components of your paper [title, text, heads, etc.] are already defined on the style sheet, as illustrated by the portions given in this document.