Distributed robust operation strategy of multi-microgrid based on peer-to-peer multi-energy trading

IF 1.6 Q4 ENERGY & FUELS IET Energy Systems Integration Pub Date : 2023-07-07 DOI:10.1049/esi2.12107
Jin Gao, Zhenguo Shao, Feixiong Chen, Yuchao Chen, Yongqi Lin, Hongjie Deng
{"title":"Distributed robust operation strategy of multi-microgrid based on peer-to-peer multi-energy trading","authors":"Jin Gao,&nbsp;Zhenguo Shao,&nbsp;Feixiong Chen,&nbsp;Yuchao Chen,&nbsp;Yongqi Lin,&nbsp;Hongjie Deng","doi":"10.1049/esi2.12107","DOIUrl":null,"url":null,"abstract":"<p>In microgrid (MG) systems, traditional centralised energy trading models can lead to issues such as low energy efficiency due to unstable energy supply and lack of flexibility. Peer-to-peer (P2P) trading models have been widely used due to their advantages in promoting the sustainable development of renewable energy and reducing energy trading costs. However, P2P multi-energy trading requires mutual agreements between two microgrids (MGs), and the uncertainties of renewable energy and load affects energy supply security. To address these issues, this article proposed a distributed robust operation strategy based on P2P multi-energy trading for multi-microgrid (MMG) systems. Firstly, a two-stage robust optimisation (TRO) method was adopted to consider the uncertainties of P2P multi-energy trading between MGs, which reduced the conservatism of robust optimisation (RO). Secondly, a TRO model for P2P multi-energy trading among MGs was established based on the Nash bargaining theory, where each MG negotiates with others based on their energy contributions in the cooperation. Additionally, a distributed algorithm was used to protect the privacy of each MG. Finally, the simulation results based on three MGs showed that the proposed approach can achieve a fair distribution of cooperative interests and effectively promote cooperation among MGs.</p>","PeriodicalId":33288,"journal":{"name":"IET Energy Systems Integration","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2023-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/esi2.12107","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Energy Systems Integration","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/esi2.12107","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 1

Abstract

In microgrid (MG) systems, traditional centralised energy trading models can lead to issues such as low energy efficiency due to unstable energy supply and lack of flexibility. Peer-to-peer (P2P) trading models have been widely used due to their advantages in promoting the sustainable development of renewable energy and reducing energy trading costs. However, P2P multi-energy trading requires mutual agreements between two microgrids (MGs), and the uncertainties of renewable energy and load affects energy supply security. To address these issues, this article proposed a distributed robust operation strategy based on P2P multi-energy trading for multi-microgrid (MMG) systems. Firstly, a two-stage robust optimisation (TRO) method was adopted to consider the uncertainties of P2P multi-energy trading between MGs, which reduced the conservatism of robust optimisation (RO). Secondly, a TRO model for P2P multi-energy trading among MGs was established based on the Nash bargaining theory, where each MG negotiates with others based on their energy contributions in the cooperation. Additionally, a distributed algorithm was used to protect the privacy of each MG. Finally, the simulation results based on three MGs showed that the proposed approach can achieve a fair distribution of cooperative interests and effectively promote cooperation among MGs.

Abstract Image

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
基于点对点多能交易的多微电网分布式鲁棒运行策略
在微电网(MG)系统中,传统的集中式能源交易模式会因能源供应不稳定和缺乏灵活性而导致能源效率低下等问题。点对点(P2P)交易模式因其在促进可再生能源可持续发展和降低能源交易成本方面的优势而得到广泛应用。然而,P2P 多能源交易需要两个微电网(MG)之间达成相互协议,而且可再生能源和负荷的不确定性会影响能源供应的安全性。针对这些问题,本文提出了一种基于 P2P 多能源交易的多微网(MMG)系统分布式稳健运行策略。首先,采用两阶段鲁棒优化(TRO)方法考虑了多微网之间 P2P 多能源交易的不确定性,降低了鲁棒优化(RO)的保守性。其次,基于纳什讨价还价理论,建立了 MG 之间 P2P 多能源交易的 TRO 模型,即每个 MG 根据其在合作中的能源贡献与其他 MG 进行协商。此外,还使用了分布式算法来保护每个 MG 的隐私。最后,基于三个 MG 的仿真结果表明,所提出的方法可以实现合作利益的公平分配,并有效促进 MG 之间的合作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
IET Energy Systems Integration
IET Energy Systems Integration Engineering-Engineering (miscellaneous)
CiteScore
5.90
自引率
8.30%
发文量
29
审稿时长
11 weeks
期刊最新文献
Experimental and model analysis of the thermoelectric characteristics of serial arc in prismatic lithium‐ion batteries Low‐carbon economic operation of multi‐energy microgrid based on multi‐level robust optimisation Anti‐interference lithium‐ion battery intelligent perception for thermal fault detection and localization A reinforcement learning method for two-layer shipboard real-time energy management considering battery state estimation Estimation and prediction method of lithium battery state of health based on ridge regression and gated recurrent unit
×
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