Jian Chen, Yuanxing Gan, Haiwei Zhou, Jiayong Zhong, Chen He
{"title":"Intelligent Coordinated Control Strategy of Distributed Photovoltaic Power Generation Cluster Based on Digital Twin Technology","authors":"Jian Chen, Yuanxing Gan, Haiwei Zhou, Jiayong Zhong, Chen He","doi":"10.1109/CEECT55960.2022.10030707","DOIUrl":null,"url":null,"abstract":"Aiming at the problems of small application scope and poor performance of distributed energy in most power grid regulation strategies, an intelligent coordinated control strategy for distributed photovoltaic power generation clusters based on digital twin technology is proposed. Firstly, based on digital twin technology, a regulation system considering distributed photovoltaic power generation cluster is constructed, which can better handle and analyze the system operation state through the combination of virtual and real. Then, the optimization function is designed and modeled based on the voltage offset, line loss and surplus power. Finally, the simulated annealing algorithm is used to improve the particle swarm optimization algorithm, which is used to solve the mathematical model of the optimization goal to obtain the best intelligent control mode of the system. Based on IEEE 33 bus system, the proposed strategy is tested and analyzed. The experimental results show that the voltage offset, line loss and surplus power are 0.573 p.u., 230 kW and 152 kW respectively, and the cluster coordinated control effect is ideal.","PeriodicalId":187017,"journal":{"name":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEECT55960.2022.10030707","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
Aiming at the problems of small application scope and poor performance of distributed energy in most power grid regulation strategies, an intelligent coordinated control strategy for distributed photovoltaic power generation clusters based on digital twin technology is proposed. Firstly, based on digital twin technology, a regulation system considering distributed photovoltaic power generation cluster is constructed, which can better handle and analyze the system operation state through the combination of virtual and real. Then, the optimization function is designed and modeled based on the voltage offset, line loss and surplus power. Finally, the simulated annealing algorithm is used to improve the particle swarm optimization algorithm, which is used to solve the mathematical model of the optimization goal to obtain the best intelligent control mode of the system. Based on IEEE 33 bus system, the proposed strategy is tested and analyzed. The experimental results show that the voltage offset, line loss and surplus power are 0.573 p.u., 230 kW and 152 kW respectively, and the cluster coordinated control effect is ideal.