{"title":"基于模糊控制器的现代多区域电力系统频率控制","authors":"A. Aluko, D. Dorrell, R. Pillay-Carpanen, E. Ojo","doi":"10.1109/PowerAfrica.2019.8928641","DOIUrl":null,"url":null,"abstract":"modern power systems present an energy mix that incorporates an increasing number of power electronics based devices such as energy storage systems, solar power systems, high voltage direct current links, etc. These devices do not have inherent inertia like traditional systems to counteract frequency deviations during disturbances such as load imbalance. A virtual inertia controller in an energy storage system is presented in this paper to mitigate the frequency instability during system disturbances. Fuzzy logic control is proposed as an intelligent control technique to provide adequate inertia response to drive the system back to steady state during load disturbance. The system was modelled and analysed using MATLAB/SIMULINK software.","PeriodicalId":308661,"journal":{"name":"2019 IEEE PES/IAS PowerAfrica","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Frequency Control of Modern Multi-Area Power Systems Using Fuzzy Logic Controller\",\"authors\":\"A. Aluko, D. Dorrell, R. Pillay-Carpanen, E. Ojo\",\"doi\":\"10.1109/PowerAfrica.2019.8928641\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"modern power systems present an energy mix that incorporates an increasing number of power electronics based devices such as energy storage systems, solar power systems, high voltage direct current links, etc. These devices do not have inherent inertia like traditional systems to counteract frequency deviations during disturbances such as load imbalance. A virtual inertia controller in an energy storage system is presented in this paper to mitigate the frequency instability during system disturbances. Fuzzy logic control is proposed as an intelligent control technique to provide adequate inertia response to drive the system back to steady state during load disturbance. The system was modelled and analysed using MATLAB/SIMULINK software.\",\"PeriodicalId\":308661,\"journal\":{\"name\":\"2019 IEEE PES/IAS PowerAfrica\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE PES/IAS PowerAfrica\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PowerAfrica.2019.8928641\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE PES/IAS PowerAfrica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PowerAfrica.2019.8928641","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Frequency Control of Modern Multi-Area Power Systems Using Fuzzy Logic Controller
modern power systems present an energy mix that incorporates an increasing number of power electronics based devices such as energy storage systems, solar power systems, high voltage direct current links, etc. These devices do not have inherent inertia like traditional systems to counteract frequency deviations during disturbances such as load imbalance. A virtual inertia controller in an energy storage system is presented in this paper to mitigate the frequency instability during system disturbances. Fuzzy logic control is proposed as an intelligent control technique to provide adequate inertia response to drive the system back to steady state during load disturbance. The system was modelled and analysed using MATLAB/SIMULINK software.
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