{"title":"100%可再生能源电力系统的负荷频率控制","authors":"H. H. Fayek","doi":"10.1109/UPEC.2019.8893587","DOIUrl":null,"url":null,"abstract":"The world is directing its efforts towards achieving 100% renewable power generation. This paper presents frequency control of a single area power system. The power system is feeding from renewable technologies and storage facilities only which are Photovoltaics, Biogas, Biodiesel, Solar thermal, battery storage and flywheel storage systems. The paper presents models to each renewable technology and energy storage facility. The frequency is controlled by using Nonlinear PID controller (NPID), Fractional order PID controller (FOPID) and Nonlinear FOPID controller (NFOPID). The three controllers are designed by using genetic algorithm at different operating conditions. A comparison between the three controllers at different operating conditions is presented. The results show that NFOPID has better performance than the other two controllers. The simulation and optimization are performed using MATLAB / SIMULINK 2017a.","PeriodicalId":6670,"journal":{"name":"2019 54th International Universities Power Engineering Conference (UPEC)","volume":"1 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Load Frequency Control of a Power System with 100% Renewables\",\"authors\":\"H. H. Fayek\",\"doi\":\"10.1109/UPEC.2019.8893587\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The world is directing its efforts towards achieving 100% renewable power generation. This paper presents frequency control of a single area power system. The power system is feeding from renewable technologies and storage facilities only which are Photovoltaics, Biogas, Biodiesel, Solar thermal, battery storage and flywheel storage systems. The paper presents models to each renewable technology and energy storage facility. The frequency is controlled by using Nonlinear PID controller (NPID), Fractional order PID controller (FOPID) and Nonlinear FOPID controller (NFOPID). The three controllers are designed by using genetic algorithm at different operating conditions. A comparison between the three controllers at different operating conditions is presented. The results show that NFOPID has better performance than the other two controllers. The simulation and optimization are performed using MATLAB / SIMULINK 2017a.\",\"PeriodicalId\":6670,\"journal\":{\"name\":\"2019 54th International Universities Power Engineering Conference (UPEC)\",\"volume\":\"1 1\",\"pages\":\"1-6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 54th International Universities Power Engineering Conference (UPEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/UPEC.2019.8893587\",\"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 54th International Universities Power Engineering Conference (UPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UPEC.2019.8893587","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Load Frequency Control of a Power System with 100% Renewables
The world is directing its efforts towards achieving 100% renewable power generation. This paper presents frequency control of a single area power system. The power system is feeding from renewable technologies and storage facilities only which are Photovoltaics, Biogas, Biodiesel, Solar thermal, battery storage and flywheel storage systems. The paper presents models to each renewable technology and energy storage facility. The frequency is controlled by using Nonlinear PID controller (NPID), Fractional order PID controller (FOPID) and Nonlinear FOPID controller (NFOPID). The three controllers are designed by using genetic algorithm at different operating conditions. A comparison between the three controllers at different operating conditions is presented. The results show that NFOPID has better performance than the other two controllers. The simulation and optimization are performed using MATLAB / SIMULINK 2017a.
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