基于数字孪生技术的分布式光伏发电集群智能协调控制策略

Jian Chen, Yuanxing Gan, Haiwei Zhou, Jiayong Zhong, Chen He
{"title":"基于数字孪生技术的分布式光伏发电集群智能协调控制策略","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":"{\"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}","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

摘要

针对大多数电网调节策略中分布式能源应用范围小、性能差的问题,提出了一种基于数字孪生技术的分布式光伏发电集群智能协调控制策略。首先,基于数字孪生技术,构建了一个考虑分布式光伏发电集群的调控系统,通过虚实结合,能够更好地处理和分析系统运行状态。然后,基于电压偏置、线路损耗和剩余功率设计优化函数并建立模型。最后,利用模拟退火算法对粒子群优化算法进行改进,利用粒子群优化算法求解优化目标的数学模型,得到系统的最佳智能控制模式。基于ieee33总线系统,对该策略进行了测试和分析。实验结果表明,该系统的电压偏置、线路损耗和剩余功率分别为0.573 p.u、230 kW和152 kW,集群协调控制效果理想。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Intelligent Coordinated Control Strategy of Distributed Photovoltaic Power Generation Cluster Based on Digital Twin Technology
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.
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
期刊最新文献
An optimization model based interval power flow analysis method considering the tracking characteristic of static voltage generator Design of Liquid Level Monitoring and Alarm System in Transformer Accident Oil Pool Mechanism Analysis of the SSR Suppression in DFIG-Based Wind farm Systems with SVCs Evaluation Method of Aging State of Oil-Paper Insulation Based on Time Domain Dielectric Response Study on the Effect of Multi-circuit Laying on Ampacity of Low Smoke Halogen-free Cable
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1