{"title":"基于改进粒子群算法的园区综合能源系统优化调度方法","authors":"Sixian Liu, K. Ding, Yi Xia, Haiying Dong","doi":"10.1109/AEES56284.2022.10079441","DOIUrl":null,"url":null,"abstract":"This paper proposes an optimal scheduling method based on improved particle swarm for the organic coordination optimization problem among various energy systems in park integrated energy system. By analyzing the structure of park integrated energy system, the corresponding equipment model is established, and the optimal scheduling model of the park integrated energy system is established with the system revenue and user cost as the optimization goals. The validity of the model and algorithm proposed is verified by numerical example simulation.","PeriodicalId":227496,"journal":{"name":"2022 3rd International Conference on Advanced Electrical and Energy Systems (AEES)","volume":"137 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimal Scheduling Method of Park Integrated Energy System Based on Improved Particle Swarm Algorithm\",\"authors\":\"Sixian Liu, K. Ding, Yi Xia, Haiying Dong\",\"doi\":\"10.1109/AEES56284.2022.10079441\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes an optimal scheduling method based on improved particle swarm for the organic coordination optimization problem among various energy systems in park integrated energy system. By analyzing the structure of park integrated energy system, the corresponding equipment model is established, and the optimal scheduling model of the park integrated energy system is established with the system revenue and user cost as the optimization goals. The validity of the model and algorithm proposed is verified by numerical example simulation.\",\"PeriodicalId\":227496,\"journal\":{\"name\":\"2022 3rd International Conference on Advanced Electrical and Energy Systems (AEES)\",\"volume\":\"137 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 3rd International Conference on Advanced Electrical and Energy Systems (AEES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AEES56284.2022.10079441\",\"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 3rd International Conference on Advanced Electrical and Energy Systems (AEES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AEES56284.2022.10079441","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal Scheduling Method of Park Integrated Energy System Based on Improved Particle Swarm Algorithm
This paper proposes an optimal scheduling method based on improved particle swarm for the organic coordination optimization problem among various energy systems in park integrated energy system. By analyzing the structure of park integrated energy system, the corresponding equipment model is established, and the optimal scheduling model of the park integrated energy system is established with the system revenue and user cost as the optimization goals. The validity of the model and algorithm proposed is verified by numerical example simulation.