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1.新能源电力系统国家重点实验室(华北电力大学),北京市 102206
2.国网江苏省电力有限公司,江苏省南京市 210024
陈修鹏(1994—),男,硕士,主要研究方向:主动配电网、电力市场。E-mail:a1124756041@163.com
李庚银(1964—),男,通信作者,教授,博士生导师,主要研究方向:新能源电力系统、电能质量、新能源配电技术等。E-mail:ligy@ncepu.edu.cn
周明(1967—),女,教授,博士生导师,主要研究方向:电力系统优化运行、需求响应、电力市场等。E-mail:zhouming@ncepu.edu.cn
收稿日期:2020-01-16,
修回日期:2020-06-20,
网络出版日期:2020-08-03,
纸质出版日期:2020-11-10
移动端阅览
陈修鹏,李庚银,周明等.基于供需互动的区域能源网热电价格联合出清策略[J].电力系统自动化,2020,44(21):7-14.
CHEN Xiupeng,LI Gengyin,ZHOU Ming,et al.Joint Heat-Power Price Clearing Strategy for Regional Energy Network Based on Interaction Between Supply and Demand[J].Automation of Electric Power Systems,2020,44(21):7-14.
陈修鹏,李庚银,周明等.基于供需互动的区域能源网热电价格联合出清策略[J].电力系统自动化,2020,44(21):7-14. DOI: 10.7500/AEPS20200116012.
CHEN Xiupeng,LI Gengyin,ZHOU Ming,et al.Joint Heat-Power Price Clearing Strategy for Regional Energy Network Based on Interaction Between Supply and Demand[J].Automation of Electric Power Systems,2020,44(21):7-14. DOI: 10.7500/AEPS20200116012.
针对区域能源网热电耦合、多元主体的特点,基于产能、用能的时空互补性,提出一种含多买方多卖方的区域能源网分布式交易市场框架和基于供需互动的热电价格联合出清策略。首先,建立了由能源交易平台、多能源微网和智能用户构成的区域能源网热电共融市场框架和交易机制;其次,分析并建立了多能源微网和智能用户以追求自身利益最大化为目标的热电价格耦合响应模型;之后,提出以区域能源供需平衡为目标的热电价格联合出清策略,该策略既可以实现能源供应侧资源的优化分配和能源需求侧能量的合理消费,又可以保护市场参与主体的隐私;最后,在由3个能源微网和6个智能用户构成的区域能源网上对模型进行仿真,验证了该交易策略在提高新能源消纳水平、需求侧资源灵活性以及热电互补能力等方面的优势。
In view of the characteristics of heat-power coupling and multiple agents in regional energy network
and based on the space and time complementarity of energy production and consumption
a distributed trading market framework with multiple buyers and multiple sellers and a supply and demand interaction based joint heat-power price clearing strategy are proposed. Firstly
the framework and trading mechanism of joint heat-power market for the regional energy network are established
and the framework is composed of the energy trading platform
multiple energy microgrids and intelligent users. Secondly
the heat-power coupling price response models of multiple energy microgrids and intelligent users aiming to maximize their own interests are analyzed and established. Then
the joint heat-power price clearing strategy aiming at realizing the balance of energy supply and demand in the regional energy network is proposed. This strategy can not only realize the optimal resource allocation on the energy supply side and the rational consumption on the energy demand side
but also protect the privacy of market participants. Finally
the model is simulated on a regional energy network composed of 3 multiple energy microgrids and 6 intelligent users to verify its advantages in improving renewable energy consumption level
demand-side resource flexibility and heat-power complementary ability.
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