Phuc T Phan, Le An Nhuan, Hoa Truong Phuoc, H. Nguyen, Trong Tai Nguyen, D. M. Pham
{"title":"Modified Droop Control Algorithm for Photovoltaic Solar Energy in Low Voltage DC Microgrid","authors":"Phuc T Phan, Le An Nhuan, Hoa Truong Phuoc, H. Nguyen, Trong Tai Nguyen, D. M. Pham","doi":"10.1109/ICSSE58758.2023.10227185","DOIUrl":null,"url":null,"abstract":"The development of an energy-sharing algorithm corresponding to the generating capacity of a parallel generator is a mandatory requirement for overload protection and improving power system reliability. As a consequence, the droop control algorithm is considered a potential algorithm to control the production of distributed generators. However, this conventional method often fails to reach the maximum capacity of sources that vary with environmental conditions such as photovoltaic (PV) systems and wind turbines. To overcome this limitation, this study combines the MPPT algorithm with the droop control algorithm for PV grid-connected systems to improve the system power quality. As a result, the P&O algorithms not only enable grid power sharing but also enable MPPT tracking. The simulation results are analyzed to verify the effectiveness of the combined MPPT method.","PeriodicalId":280745,"journal":{"name":"2023 International Conference on System Science and Engineering (ICSSE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on System Science and Engineering (ICSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSE58758.2023.10227185","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The development of an energy-sharing algorithm corresponding to the generating capacity of a parallel generator is a mandatory requirement for overload protection and improving power system reliability. As a consequence, the droop control algorithm is considered a potential algorithm to control the production of distributed generators. However, this conventional method often fails to reach the maximum capacity of sources that vary with environmental conditions such as photovoltaic (PV) systems and wind turbines. To overcome this limitation, this study combines the MPPT algorithm with the droop control algorithm for PV grid-connected systems to improve the system power quality. As a result, the P&O algorithms not only enable grid power sharing but also enable MPPT tracking. The simulation results are analyzed to verify the effectiveness of the combined MPPT method.