{"title":"基于动态规划算法的微电网综合调度控制系统","authors":"Bin Chen, Jiang Jiang, Yan-qing Shao","doi":"10.1109/ICICACS57338.2023.10099706","DOIUrl":null,"url":null,"abstract":"With the continuous development of the Internet, the technical requirements for microgrids are also constantly improving. Today, micropower applications are mainly found in industrial and commercial areas, urban areas and remote areas. With the rapid development of computers and telecommunication equipment, microgrids are also integrated into the fields of computers, control technology, algorithm strategies, etc., and gradually change to the direction of automation. Microgrid technology is becoming a new force in network systems to make up for the deficiencies of traditional networks. Therefore, the development of microgrid is very important to the development of power grid. This paper aims to study the integrated dispatch and control system of microgrid based on dynamic programming algorithm. On the basis of analyzing the comparison between dynamic programming algorithm and other algorithms and the requirements of the integrated system of regulation, the integrated dispatching and control system of microgrid is analyzed. In order to verify the advantages of the proposed algorithm, this paper compares the dynamic programming algorithm with the traditional algorithms GA and PSO. The results show that the dynamic programming algorithm can directly calculate the optimal value of multiple data blocks, which speeds up the convergence process, thus greatly reducing the iteration cycle of the algorithm, and can better meet the needs of automatic power generation instruction cycle.","PeriodicalId":274807,"journal":{"name":"2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Integrated Scheduling and Control System of Microgrid Based on Dynamic Programming Algorithm\",\"authors\":\"Bin Chen, Jiang Jiang, Yan-qing Shao\",\"doi\":\"10.1109/ICICACS57338.2023.10099706\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the continuous development of the Internet, the technical requirements for microgrids are also constantly improving. Today, micropower applications are mainly found in industrial and commercial areas, urban areas and remote areas. With the rapid development of computers and telecommunication equipment, microgrids are also integrated into the fields of computers, control technology, algorithm strategies, etc., and gradually change to the direction of automation. Microgrid technology is becoming a new force in network systems to make up for the deficiencies of traditional networks. Therefore, the development of microgrid is very important to the development of power grid. This paper aims to study the integrated dispatch and control system of microgrid based on dynamic programming algorithm. On the basis of analyzing the comparison between dynamic programming algorithm and other algorithms and the requirements of the integrated system of regulation, the integrated dispatching and control system of microgrid is analyzed. In order to verify the advantages of the proposed algorithm, this paper compares the dynamic programming algorithm with the traditional algorithms GA and PSO. The results show that the dynamic programming algorithm can directly calculate the optimal value of multiple data blocks, which speeds up the convergence process, thus greatly reducing the iteration cycle of the algorithm, and can better meet the needs of automatic power generation instruction cycle.\",\"PeriodicalId\":274807,\"journal\":{\"name\":\"2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)\",\"volume\":\"122 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-02-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICACS57338.2023.10099706\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICACS57338.2023.10099706","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Integrated Scheduling and Control System of Microgrid Based on Dynamic Programming Algorithm
With the continuous development of the Internet, the technical requirements for microgrids are also constantly improving. Today, micropower applications are mainly found in industrial and commercial areas, urban areas and remote areas. With the rapid development of computers and telecommunication equipment, microgrids are also integrated into the fields of computers, control technology, algorithm strategies, etc., and gradually change to the direction of automation. Microgrid technology is becoming a new force in network systems to make up for the deficiencies of traditional networks. Therefore, the development of microgrid is very important to the development of power grid. This paper aims to study the integrated dispatch and control system of microgrid based on dynamic programming algorithm. On the basis of analyzing the comparison between dynamic programming algorithm and other algorithms and the requirements of the integrated system of regulation, the integrated dispatching and control system of microgrid is analyzed. In order to verify the advantages of the proposed algorithm, this paper compares the dynamic programming algorithm with the traditional algorithms GA and PSO. The results show that the dynamic programming algorithm can directly calculate the optimal value of multiple data blocks, which speeds up the convergence process, thus greatly reducing the iteration cycle of the algorithm, and can better meet the needs of automatic power generation instruction cycle.