Optimal dispatching of electric-heat-hydrogen integrated energy system based on Stackelberg game

Yumin Zhang, Jingrui Li, Xingquan Ji, Pingfeng Ye, Danwen Yu, Baoyu Zhang
{"title":"Optimal dispatching of electric-heat-hydrogen integrated energy system based on Stackelberg game","authors":"Yumin Zhang,&nbsp;Jingrui Li,&nbsp;Xingquan Ji,&nbsp;Pingfeng Ye,&nbsp;Danwen Yu,&nbsp;Baoyu Zhang","doi":"10.1049/enc2.12094","DOIUrl":null,"url":null,"abstract":"<p>The interest conflict among entities in the integrated energy system (IES) has a great challenge to operation decisions of IES. With regards to this, an optimal dispatching model of electric-heat-hydrogen IES based on Stackelberg game is proposed. Firstly, an energy producer (EP) model is formulated which considered the full utilization of hydrogen energy and involved the conversion of hydrogen energy to electricity and heat energy. Meanwhile, the demand response amount is integrated into the objective function of load aggregator (LA) in order to encourage consumers to adjust their consumption behaviour. Secondly, by analyzing the characteristics of price information interaction among EP, energy system operator (ESO), and LA, the payoffs of each entity in IES are reformulated. Finally, a Stackelberg game model is established with ESO as the dominator guiding price information, EP and LA as the followers whose private information is confidential. Genetic algorithm and quadratic programming algorithm (GA-QP) are employed to solve the developed model. Numerical experiments are carried out on an actual park-level IES in northern China to demonstrate the effectiveness of the proposed model in promoting the benefit equilibrium among various entities.</p>","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"4 4","pages":"267-275"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.12094","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Conversion and Economics","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/enc2.12094","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The interest conflict among entities in the integrated energy system (IES) has a great challenge to operation decisions of IES. With regards to this, an optimal dispatching model of electric-heat-hydrogen IES based on Stackelberg game is proposed. Firstly, an energy producer (EP) model is formulated which considered the full utilization of hydrogen energy and involved the conversion of hydrogen energy to electricity and heat energy. Meanwhile, the demand response amount is integrated into the objective function of load aggregator (LA) in order to encourage consumers to adjust their consumption behaviour. Secondly, by analyzing the characteristics of price information interaction among EP, energy system operator (ESO), and LA, the payoffs of each entity in IES are reformulated. Finally, a Stackelberg game model is established with ESO as the dominator guiding price information, EP and LA as the followers whose private information is confidential. Genetic algorithm and quadratic programming algorithm (GA-QP) are employed to solve the developed model. Numerical experiments are carried out on an actual park-level IES in northern China to demonstrate the effectiveness of the proposed model in promoting the benefit equilibrium among various entities.

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Stackelberg对策的电热氢一体化能源系统优化调度
综合能源系统中各实体之间的利益冲突对综合能源系统的运营决策提出了极大的挑战。为此,提出了一种基于Stackelberg对策的电热氢IES优化调度模型。首先,建立了一个考虑氢能充分利用、涉及氢能向电能和热能转化的能源生产者模型。同时,需求响应量被整合到负载聚合器(LA)的目标函数中,以鼓励消费者调整他们的消费行为。其次,通过分析EP、能源系统运营商(ESO)和LA之间价格信息交互的特征,重新表述了IES中每个实体的收益。最后,建立了以ESO为主导者、EP和LA为跟随者、私人信息保密的Stackelberg博弈模型。采用遗传算法和二次规划算法(GA-QP)对所建立的模型进行求解。在中国北方一个实际的公园级IES上进行了数值实验,以证明所提出的模型在促进各实体之间的利益平衡方面的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A novel online reinforcement learning-based linear quadratic regulator for three-level neutral-point clamped DC/AC inverter Artificial intelligence-driven insights: Precision tracking of power plant carbon emissions using satellite data Forecasting masked-load with invisible distributed energy resources based on transfer learning and Bayesian tuning Collaborative deployment of multiple reinforcement methods for network-loss reduction in distribution system with seasonal loads State-of-health estimation of lithium-ion batteries: A comprehensive literature review from cell to pack levels
×
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