Imran Pervez, Charalampos Antoniadis, Hakim Ghazzai, Y. Massoud
{"title":"基于多维MPPT控制的多串光伏系统集中控制","authors":"Imran Pervez, Charalampos Antoniadis, Hakim Ghazzai, Y. Massoud","doi":"10.1109/APCCAS55924.2022.10090391","DOIUrl":null,"url":null,"abstract":"This paper proposes an improved Maximum Power Point Tracking (MPPT) control for the inverter's photovoltaic (PV) string connection. This is achieved by replacing MPPT control microcontrollers across each PV string with a single central microcontroller controlling all PV strings' Maximum Power Point (MPP). The proposed system, in addition to making the PV string system more power efficient, also reduces the overall system cost. However, replacing multiple controllers across each string with a single central controller makes the MPPT problem multi-dimensional, increasing the complexity. To solve this, we first used the Jaya algorithm for solving the multi-dimensional MPPT problem. Then, the proposed Multi-Dimensional MPPT (MDMPPT) Jaya is compared to another metaheuristic, the Particle Swarm Optimization (PSO), and a conventional algorithm, the Perturb and Observe (P&O). The results prove the superiority of the proposed Jaya algorithm over PSO and P&O.","PeriodicalId":243739,"journal":{"name":"2022 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Centralized Multi-String PV System Control with Multi-Dimensional MPPT Control\",\"authors\":\"Imran Pervez, Charalampos Antoniadis, Hakim Ghazzai, Y. Massoud\",\"doi\":\"10.1109/APCCAS55924.2022.10090391\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes an improved Maximum Power Point Tracking (MPPT) control for the inverter's photovoltaic (PV) string connection. This is achieved by replacing MPPT control microcontrollers across each PV string with a single central microcontroller controlling all PV strings' Maximum Power Point (MPP). The proposed system, in addition to making the PV string system more power efficient, also reduces the overall system cost. However, replacing multiple controllers across each string with a single central controller makes the MPPT problem multi-dimensional, increasing the complexity. To solve this, we first used the Jaya algorithm for solving the multi-dimensional MPPT problem. Then, the proposed Multi-Dimensional MPPT (MDMPPT) Jaya is compared to another metaheuristic, the Particle Swarm Optimization (PSO), and a conventional algorithm, the Perturb and Observe (P&O). The results prove the superiority of the proposed Jaya algorithm over PSO and P&O.\",\"PeriodicalId\":243739,\"journal\":{\"name\":\"2022 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APCCAS55924.2022.10090391\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APCCAS55924.2022.10090391","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Centralized Multi-String PV System Control with Multi-Dimensional MPPT Control
This paper proposes an improved Maximum Power Point Tracking (MPPT) control for the inverter's photovoltaic (PV) string connection. This is achieved by replacing MPPT control microcontrollers across each PV string with a single central microcontroller controlling all PV strings' Maximum Power Point (MPP). The proposed system, in addition to making the PV string system more power efficient, also reduces the overall system cost. However, replacing multiple controllers across each string with a single central controller makes the MPPT problem multi-dimensional, increasing the complexity. To solve this, we first used the Jaya algorithm for solving the multi-dimensional MPPT problem. Then, the proposed Multi-Dimensional MPPT (MDMPPT) Jaya is compared to another metaheuristic, the Particle Swarm Optimization (PSO), and a conventional algorithm, the Perturb and Observe (P&O). The results prove the superiority of the proposed Jaya algorithm over PSO and P&O.