B. Ganthia, Vishal Agarwal, K. Rout, Madhura K. Pardhe
{"title":"基于PI和遗传算法的DFIG风能转换系统最优控制研究","authors":"B. Ganthia, Vishal Agarwal, K. Rout, Madhura K. Pardhe","doi":"10.1109/ICPEDC.2017.8081112","DOIUrl":null,"url":null,"abstract":"This article presents a recovered organize policy for mutually the rotor side converter (RSC) and grid side converter (GSC) of a issued doubly fed induction generator (DFIG)-found wind energy conversion system (WECS) applying Genetic Algorithm (GA) method. The main point of this organize plan is to trail the finest power removed from the wind according to the power-speed arch characteristic of the wind turbine. Found on genetic algorithm method, exact vigor tasks shared to both rotor and stator currents and voltages are presented to get the finest rates for controller expands of both RSC and GSC controllers to get the best output power and sustaining scheme vibrant stability. MATLAB /Simulink were applied to erect the vibrant form and create the scheme. The form presentation was too contrasted with the featured form expanded by matlab simulink to clarify the legality of presented learn.","PeriodicalId":145373,"journal":{"name":"2017 International Conference on Power and Embedded Drive Control (ICPEDC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Optimal control study in DFIG based wind energy conversion system using PI & GA\",\"authors\":\"B. Ganthia, Vishal Agarwal, K. Rout, Madhura K. Pardhe\",\"doi\":\"10.1109/ICPEDC.2017.8081112\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article presents a recovered organize policy for mutually the rotor side converter (RSC) and grid side converter (GSC) of a issued doubly fed induction generator (DFIG)-found wind energy conversion system (WECS) applying Genetic Algorithm (GA) method. The main point of this organize plan is to trail the finest power removed from the wind according to the power-speed arch characteristic of the wind turbine. Found on genetic algorithm method, exact vigor tasks shared to both rotor and stator currents and voltages are presented to get the finest rates for controller expands of both RSC and GSC controllers to get the best output power and sustaining scheme vibrant stability. MATLAB /Simulink were applied to erect the vibrant form and create the scheme. The form presentation was too contrasted with the featured form expanded by matlab simulink to clarify the legality of presented learn.\",\"PeriodicalId\":145373,\"journal\":{\"name\":\"2017 International Conference on Power and Embedded Drive Control (ICPEDC)\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Power and Embedded Drive Control (ICPEDC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPEDC.2017.8081112\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Power and Embedded Drive Control (ICPEDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPEDC.2017.8081112","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal control study in DFIG based wind energy conversion system using PI & GA
This article presents a recovered organize policy for mutually the rotor side converter (RSC) and grid side converter (GSC) of a issued doubly fed induction generator (DFIG)-found wind energy conversion system (WECS) applying Genetic Algorithm (GA) method. The main point of this organize plan is to trail the finest power removed from the wind according to the power-speed arch characteristic of the wind turbine. Found on genetic algorithm method, exact vigor tasks shared to both rotor and stator currents and voltages are presented to get the finest rates for controller expands of both RSC and GSC controllers to get the best output power and sustaining scheme vibrant stability. MATLAB /Simulink were applied to erect the vibrant form and create the scheme. The form presentation was too contrasted with the featured form expanded by matlab simulink to clarify the legality of presented learn.