{"title":"部分遮阳条件下光伏系统滑模控制与粒子群优化的比较","authors":"Ilhem Bouchriha, Ali Ben Ghanem, K. Nouri","doi":"10.1109/IC_ASET49463.2020.9318254","DOIUrl":null,"url":null,"abstract":"This paper provides a comparison of two maximum power tracking (MPPT) techniques. The first technique is based on the conventional sliding mode control and the second one is based on the Particle Swarm Optimization (PSO). The current-voltage characteristics of photovoltaic systems are not fixed, and they are classified as a nonlinear system. Simulation results we will compare between the two MPPT methods. Application of PSO and conventional sliding mode control on a well-constructed model shows that the PSO provides a high accuracy compared to sliding mode control.","PeriodicalId":250315,"journal":{"name":"2020 4th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"2005 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Comparison of Sliding Mode Control and Particle Swarm Optimization for Photovoltaic System under Partially Shaded Condition\",\"authors\":\"Ilhem Bouchriha, Ali Ben Ghanem, K. Nouri\",\"doi\":\"10.1109/IC_ASET49463.2020.9318254\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper provides a comparison of two maximum power tracking (MPPT) techniques. The first technique is based on the conventional sliding mode control and the second one is based on the Particle Swarm Optimization (PSO). The current-voltage characteristics of photovoltaic systems are not fixed, and they are classified as a nonlinear system. Simulation results we will compare between the two MPPT methods. Application of PSO and conventional sliding mode control on a well-constructed model shows that the PSO provides a high accuracy compared to sliding mode control.\",\"PeriodicalId\":250315,\"journal\":{\"name\":\"2020 4th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)\",\"volume\":\"2005 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 4th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IC_ASET49463.2020.9318254\",\"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 4th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC_ASET49463.2020.9318254","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Comparison of Sliding Mode Control and Particle Swarm Optimization for Photovoltaic System under Partially Shaded Condition
This paper provides a comparison of two maximum power tracking (MPPT) techniques. The first technique is based on the conventional sliding mode control and the second one is based on the Particle Swarm Optimization (PSO). The current-voltage characteristics of photovoltaic systems are not fixed, and they are classified as a nonlinear system. Simulation results we will compare between the two MPPT methods. Application of PSO and conventional sliding mode control on a well-constructed model shows that the PSO provides a high accuracy compared to sliding mode control.