{"title":"Research on Photovoltaic Low Voltage Ride through Based on New Model Predictive Control","authors":"Zhe Jing, Haotian Zhang, Peihao Yang, Zipeng Zhou","doi":"10.1109/AEEES54426.2022.9759624","DOIUrl":null,"url":null,"abstract":"In order to keep the photovoltaic power generation unit from off grid, the model predictive control (MPC) is used to realize the fast tracking and large-scale regulation of the current when the grid side voltage sag accident occurs. Model predictive control (MPC), As a new control strategy, MPC has been widely concerned in the field of photovoltaic grid connected inverter control because of its strong ability of fast dynamic response, simultaneous control of multiple targets and good output characteristics. However, the control strategy has the problem of large amount of calculation, which requires a higher performance processor, which undoubtedly increases the cost and is not conducive to the promotion of the control algorithm. In order to solve the problem of system steady-state error caused by model parameter mismatching in the regulation process, an adaptive objective function is set to improve the accuracy of reactive power distribution. The above control strategy is simulated by Matlab / Simulink to verify that the proposed scheme can make the PV power station with LVRT capability and more scientific reactive power regulation.","PeriodicalId":252797,"journal":{"name":"2022 4th Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 4th Asia Energy and Electrical Engineering Symposium (AEEES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AEEES54426.2022.9759624","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In order to keep the photovoltaic power generation unit from off grid, the model predictive control (MPC) is used to realize the fast tracking and large-scale regulation of the current when the grid side voltage sag accident occurs. Model predictive control (MPC), As a new control strategy, MPC has been widely concerned in the field of photovoltaic grid connected inverter control because of its strong ability of fast dynamic response, simultaneous control of multiple targets and good output characteristics. However, the control strategy has the problem of large amount of calculation, which requires a higher performance processor, which undoubtedly increases the cost and is not conducive to the promotion of the control algorithm. In order to solve the problem of system steady-state error caused by model parameter mismatching in the regulation process, an adaptive objective function is set to improve the accuracy of reactive power distribution. The above control strategy is simulated by Matlab / Simulink to verify that the proposed scheme can make the PV power station with LVRT capability and more scientific reactive power regulation.