综合能源服务商参与多能源市场的决策建模研究
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摘要
提出了一种包含综合能源服务商的多能源市场框架,研究了综合能源服务商聚合用户侧分布式能源资源,并参与电力批发市场的行为。在Leader-Follower模式下建立了综合能源服务商的双层决策模型,利用KKT条件和强对偶理论将双层决策模型转化为单层的混合整数线性优化模型。算例分析表明,综合能源服务商的行为能整合用户侧分布式能源资源,完成需求侧响应,使用户侧成本最小、决策最优。研究成果将为多能源市场的构建以及综合能源服务商参与市场的决策提供参考。
A multi-energy market framework is proposed that includes multi-energy players,and the behavior of multi-energy players aggregating user-side distributed multi-energy resources and participating in wholesale electricity market is studied in this paper. A bi-level decision model of multi-energy players is established under the Leader/Follower model. The bi-level decision model is transformed into a single-layer mixed integer linear optimization model by using KKT condition and strong duality theory. The analysis of the case shows that the behavior of the multi-energy players can integrate the user-side distributed multi-energy resources,complete the demand side response,minimize the user-side cost and optimize the decision. The research results can provide reference for the construction of multi-energy market and the decision-making of multi-energy players to participate in the market.
A multi-energy market framework is proposed that includes multi-energy players,and the behavior of multi-energy players aggregating user-side distributed multi-energy resources and participating in wholesale electricity market is studied in this paper. A bi-level decision model of multi-energy players is established under the Leader/Follower model. The bi-level decision model is transformed into a single-layer mixed integer linear optimization model by using KKT condition and strong duality theory. The analysis of the case shows that the behavior of the multi-energy players can integrate the user-side distributed multi-energy resources,complete the demand side response,minimize the user-side cost and optimize the decision. The research results can provide reference for the construction of multi-energy market and the decision-making of multi-energy players to participate in the market.
引文
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[2]张友良,金振文,程权.综合能源服务:变革的风口[J].国家电网,2018(4):44-49.
[3]武志宏,郑永义,杨子成.关于综合能源服务业务的开展研究[J].山西电力,2018(2):58-61.WU Zhihong,ZHENG Yongyi,YANG Zicheng.Research on comprehensive energy services business[J].Shanxi Electric Power,2018(2):58-61.
[4]封红丽.国内外综合能源服务发展现状及商业模式研究[J].电器工业,2017(6):34-42.FENG Hongli.Research on the status quo and business model of integrated energy service development at home and abroad[J].China Electrical Equipment Industry,2017(6):34-42.
[5]白牧可,王越,唐巍,等.基于区间线性规划的区域综合能源系统日前优化调度[J].电网技术,2017,41(12):3963-3970.BAI Muke,WANG Yue,TANG Wei,et al.Day-ahead optimal dispatching of regional integrated energy system based on interval linear programming[J].Power System Technology,2017,41(12):3963-3970.
[6]韩雪,胡润青.浅析可再生能源供热与区域热电协同[J].供用电,2017,34(12):15-20.HAN Xue,HU Runqing.A brief introduction of renewable heating and regional power-heat coordination[J].Distribution&Utilization,2017,34(12):15-20.
[7]章雷其,汪湘晋,徐珂,等.基于柔性互联的源网荷储协同主动配电网设计研究[J].供用电,2018,35(1):28-33.ZHANG Leiqi,WANG Xiangjin,XU Ke,et al.Research on Design of a Source-Grid-Load-StorageCollaborated Active Distribution Network Based on Flexible Interconnection[J].Distribution&Utilization,2018,35(1):28-33.
[8]郭宝甫,王卫星,杨东海,等.基于多能互补的微电网群运行模式切换控制策略研究[J].供用电,2017,34(11):82-88,72.GUO Baofu,WANG Weixing,YANG Donghai,et al.Research on operation mode switching control strategies of microgrid clusters base on multiple energy source[J].Distribution&Utilization,2017,34(11):82-88,72.
[9]张立地,窦迅,王俊,等.综合能源背景下的配电网规划研究[J].供用电,2018,35(4):37-45.ZHANG Lidi,DOU Xun,WANG Jun,et al.Review of distribution network planning in the context of integrated energy[J].Distribution&Utilization,2018,35(4):37-45.
[10]杨锦成,骆建波,康丽惠,等.区域能源互联网构架下的综合能源服务[J].上海节能,2017(3):137-146.YANG Jincheng,LUO Jianbo,KANG Lihui,et al.Integrated energy services under the framework of regional energy Internet[J].Shanghai Energy Conservation,2017(3):137-146.
[11]YAZDANI-DAMAVANDI M,NEYESTANI N,SHAFIE-KHAH M,et al.Strategic behavior of multienergy players in electricity markets as aggregators of demand side resources using a bi-level approach[J].IEEETransactions on Power Systems,2018,1(33):397-411.
[12]方燕琼,甘霖,艾芊,等.基于主从博弈的虚拟电厂双层竞标策略[J].电力系统自动化,2017,41(14):61-69.FANGYanqiong,GANLin,AIQian,e t a l.Stackelberg game based bi-level bidding strategy for virtual power plant[J].Automation of Electric Power Systems,2017,41(14):61-69.
[13]朱文超.计及用户响应不确定性的负荷聚合商运营决策模型研究[D].北京:华北电力大学,2016.
[14]方燕琼,艾芊,范松丽.虚拟电厂研究综述[J].供用电,2016,33(4):8-13.FANG Yanqiong,AI Qian,FAN Songli.A review on virtual power plant[J].Distribution&Utilization,2016,33(4):8-13.
[15]LEOU RC,TENG J-H.The optimal portfolio of the day-ahead market and real-time market for the load serving entities[C]//IEEE International Conference on Industrial Informatics,2010,Osaka,Japan:804-809.
[16]BESSA R J,MATOS M A,SOARES F J.Framework for the participation of EV aggregators in the electricity market[C]//Electric Vehicle Conference,2014,IEEE,Florence,Italy:1-8.
[17]SU Wencong,HUANG Alex Q.A game theoretic framework for a next-generation retail electricity market with high penetration of distributed residential electricity suppliers[J].Applied Energy,2014(119):341-350.
[18]李成鑫,刘凡,汪颖,等.需求响应在电网规划中的研究现状与展望[J].供用电,2016,33(6):73-76,80.LI Chengxin,LIU Fan,WANG Ying,et al.Research Status and Prospects of Demand Response in Network Planning[J].Distribution&Utilization,2016,33(6):73-76,80.
[19]李轶鹏.智能电网中的需求侧响应机制[J].江西电力,2012,36(6):55-58.LI Yipeng.Demand side response mechanism in Smart Grid[J].Jiangxi Electric Power,2012,36(6):55-58.
[20]RAMíREZ-ESCOBAR C,ALVAREZ-BEL C,GEORGANTZíS N.Controlling market power of vertically integrated firms in electricity networks:Demand response of aggregator agents[C]//Innovative Smart Grid Technologies,IEEE,2011,Medellin,Colombia:1-7.