基于改进粒子群算法的园区综合能源系统优化调度方法

Sixian Liu, K. Ding, Yi Xia, Haiying Dong
{"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}
引用次数: 0

摘要

针对园区综合能源系统中各能源系统之间的有机协调优化问题,提出了一种基于改进粒子群的优化调度方法。通过对园区综合能源系统结构的分析,建立相应的设备模型,并以系统收益和用户成本为优化目标,建立园区综合能源系统的最优调度模型。通过数值算例仿真验证了模型和算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信