A. Sabo, Noor Izzri Abdul Wahab, M. Lutfi Othman, Mai Zurwatul Ahlam Mohd Jaffar
{"title":"基于PIDPSS的农田肥力优化方法缓解SMIB波动","authors":"A. Sabo, Noor Izzri Abdul Wahab, M. Lutfi Othman, Mai Zurwatul Ahlam Mohd Jaffar","doi":"10.1109/SPIES48661.2020.9242924","DOIUrl":null,"url":null,"abstract":"In this study, the design of proportional integral derivative (PID) PSS (PIDPSS) is proposed for damping oscillations in single machine infinite bus (SMIB) power system in MATLAB/SIMULINK. A new metaheuristics method called Farmland Fertility Algorithm (FFA) inspired by nature is proposed to optimize the PIDPSS parameters via minimizing robust time domain performance indices called Integral of Squared Time multiplied by Squared Error (ISTSE) objective function. The robustness of the ISTSE index was tested by comparing it with four common time integral indices, also, the FFA PIDPSS was compare with Conventional PIDPSS (CPIDPSS) and Invasive Weed Optimization (IWO) algorithm for plausible application in. The phasor simulation results shows that the proposed ISTSE, the speed deviation SMIB transient response in terms of rise time, settling time, peak time were all remarkably improved by an amount of 35.16%, 40.57%, 77.1% and 1% respectively by the proposed FFA method compare to the IWO method.","PeriodicalId":244426,"journal":{"name":"2020 2nd International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Mitigation of Oscillations in SMIB using a Novel Farmland Fertility Optimization based PIDPSS\",\"authors\":\"A. Sabo, Noor Izzri Abdul Wahab, M. Lutfi Othman, Mai Zurwatul Ahlam Mohd Jaffar\",\"doi\":\"10.1109/SPIES48661.2020.9242924\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, the design of proportional integral derivative (PID) PSS (PIDPSS) is proposed for damping oscillations in single machine infinite bus (SMIB) power system in MATLAB/SIMULINK. A new metaheuristics method called Farmland Fertility Algorithm (FFA) inspired by nature is proposed to optimize the PIDPSS parameters via minimizing robust time domain performance indices called Integral of Squared Time multiplied by Squared Error (ISTSE) objective function. The robustness of the ISTSE index was tested by comparing it with four common time integral indices, also, the FFA PIDPSS was compare with Conventional PIDPSS (CPIDPSS) and Invasive Weed Optimization (IWO) algorithm for plausible application in. The phasor simulation results shows that the proposed ISTSE, the speed deviation SMIB transient response in terms of rise time, settling time, peak time were all remarkably improved by an amount of 35.16%, 40.57%, 77.1% and 1% respectively by the proposed FFA method compare to the IWO method.\",\"PeriodicalId\":244426,\"journal\":{\"name\":\"2020 2nd International Conference on Smart Power & Internet Energy Systems (SPIES)\",\"volume\":\"53 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 2nd International Conference on Smart Power & Internet Energy Systems (SPIES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPIES48661.2020.9242924\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 2nd International Conference on Smart Power & Internet Energy Systems (SPIES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPIES48661.2020.9242924","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mitigation of Oscillations in SMIB using a Novel Farmland Fertility Optimization based PIDPSS
In this study, the design of proportional integral derivative (PID) PSS (PIDPSS) is proposed for damping oscillations in single machine infinite bus (SMIB) power system in MATLAB/SIMULINK. A new metaheuristics method called Farmland Fertility Algorithm (FFA) inspired by nature is proposed to optimize the PIDPSS parameters via minimizing robust time domain performance indices called Integral of Squared Time multiplied by Squared Error (ISTSE) objective function. The robustness of the ISTSE index was tested by comparing it with four common time integral indices, also, the FFA PIDPSS was compare with Conventional PIDPSS (CPIDPSS) and Invasive Weed Optimization (IWO) algorithm for plausible application in. The phasor simulation results shows that the proposed ISTSE, the speed deviation SMIB transient response in terms of rise time, settling time, peak time were all remarkably improved by an amount of 35.16%, 40.57%, 77.1% and 1% respectively by the proposed FFA method compare to the IWO method.