{"title":"基于老化先导和挑战者的粒子群算法","authors":"Pradeep Kumar, Ashutosh Kumar Singh, Rambir Singh","doi":"10.1109/ENERGYECONOMICS.2015.7235072","DOIUrl":null,"url":null,"abstract":"Shunt active power filters (SAPF) using pulse width modulation (PWM) controlled voltage source inverter (VSI) topology is extensively utilized in the distribution network for current harmonic mitigation and reactive power compensation. For reference current generation in the SAPF, the PI controller is utilized, which is required to be tuned with optimal gains, to obtain the best response. This paper presents a novel particle swarm optimization algorithm with aging leader and challenger (ALC-PSO) for the PI controller tuning. The performance of the proposed PI controller, in terms of dynamic response and harmonic mitigation, is compared with the conventional PI controller. Also, an assessment for PI controller tuning using evolutionary algorithms, namely, Bacterial Foraging (BF), Bacterial Foraging with Swarming (BFS), and Particle Swarm Optimization (PSO) is presented. The results obtained show that the ALC-PSO based PI controller can provide optimum PI controller gains for efficient harmonic mitigation and much more improved dynamic response.","PeriodicalId":130355,"journal":{"name":"2015 International Conference on Energy Economics and Environment (ICEEE)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Aging leader and challenger based PSO for harmonic mitigation using SAPF\",\"authors\":\"Pradeep Kumar, Ashutosh Kumar Singh, Rambir Singh\",\"doi\":\"10.1109/ENERGYECONOMICS.2015.7235072\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Shunt active power filters (SAPF) using pulse width modulation (PWM) controlled voltage source inverter (VSI) topology is extensively utilized in the distribution network for current harmonic mitigation and reactive power compensation. For reference current generation in the SAPF, the PI controller is utilized, which is required to be tuned with optimal gains, to obtain the best response. This paper presents a novel particle swarm optimization algorithm with aging leader and challenger (ALC-PSO) for the PI controller tuning. The performance of the proposed PI controller, in terms of dynamic response and harmonic mitigation, is compared with the conventional PI controller. Also, an assessment for PI controller tuning using evolutionary algorithms, namely, Bacterial Foraging (BF), Bacterial Foraging with Swarming (BFS), and Particle Swarm Optimization (PSO) is presented. The results obtained show that the ALC-PSO based PI controller can provide optimum PI controller gains for efficient harmonic mitigation and much more improved dynamic response.\",\"PeriodicalId\":130355,\"journal\":{\"name\":\"2015 International Conference on Energy Economics and Environment (ICEEE)\",\"volume\":\"57 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-03-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Energy Economics and Environment (ICEEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ENERGYECONOMICS.2015.7235072\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Energy Economics and Environment (ICEEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ENERGYECONOMICS.2015.7235072","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Aging leader and challenger based PSO for harmonic mitigation using SAPF
Shunt active power filters (SAPF) using pulse width modulation (PWM) controlled voltage source inverter (VSI) topology is extensively utilized in the distribution network for current harmonic mitigation and reactive power compensation. For reference current generation in the SAPF, the PI controller is utilized, which is required to be tuned with optimal gains, to obtain the best response. This paper presents a novel particle swarm optimization algorithm with aging leader and challenger (ALC-PSO) for the PI controller tuning. The performance of the proposed PI controller, in terms of dynamic response and harmonic mitigation, is compared with the conventional PI controller. Also, an assessment for PI controller tuning using evolutionary algorithms, namely, Bacterial Foraging (BF), Bacterial Foraging with Swarming (BFS), and Particle Swarm Optimization (PSO) is presented. The results obtained show that the ALC-PSO based PI controller can provide optimum PI controller gains for efficient harmonic mitigation and much more improved dynamic response.