摘要
在“碳达峰,碳中和”的背景下,分布式可再生能源的进一步推广是电力系统低碳化的重要路径之一。为了消纳用户侧大量的分布式可再生能源,提出了端对端交易-云储能联合市场以最大化能源卖家的市场收益、最小化能源买家的用电成本。首先将能源买卖双方建模为非合作博弈的关系;其次,在考虑云储能总容量限制的情况下,求解出能源卖家的Nash均衡和能源买家的广义Nash均衡点;然后基于核求解出云储能的合作剩余的最优分配方案;最后使用爱尔兰的社区级微电网作为算例,验证了提出的端对端交易-云储能联合市场的优越性。所提出的联合市场模型能够最大化买卖双方的市场收益,实现了市场参与者效益的帕累托改进,而对比实验中的端对端交易的参与者相较于传统现货市场的参与者而言,购电成本下降了39.68%,云储能市场使得传统市场参与者的总成本降低了27.4%,因此将端对端用能交易与云储能市场耦合起来可以极大地降低用户的发电和购电成本,具有较强的实际应用价值。
Under the background of"carbon peaking and carbon neutrality",the further promotion of distributed renewable energy is one of the important ways of low-carbon power system.In order to consume large amount of distributed renewable energy on the user side,a peer-to-peer(P2P)transaction and cloud energy storage joint market is proposed to maximize the market revenue of energy sellers and minimize the consumption cost of energy buyers.Firstly,the relationship between energy buyers and sellers is modeled as a non-cooperative game.Secondly,considering the limitation of the total capacity of cloud energy storage,the Nash equilibrium of energy sellers and the generalized Nash equilibrium of energy buyers are solved.Then,the optimal allocation scheme of cooperative surplus of cloud energy storage is solved based on nucleus.Finally,the community microgrid in Ireland is used as an example to verify the superiority of the proposed peer-to-peer transaction and cloud energy storage joint market.The proposed joint market model can maximize the market returns of both buyers and sellers and realize Pareto improvement in the benefits of market participants.Compared with the participants in the traditional spot market,the power purchase costs of the participants in the P2P transaction in the comparison experiment is reduced by 39.68%.The cloud energy storage market reduces the total cost of the traditional market participants by 27.4%.Therefore,coupling the P2P energy trading with the cloud energy storage market can greatly reduce the users’power generation and purchase costs,which has great practical application value.
作者
许丹莉
顾慧杰
何宇斌
周华锋
周尚筹
陈根军
XU Danli;GU Huijie;HE Yubing;ZHOU Huafeng;ZHOU Shangchou;CHEN Genjun(Power Dispatching and Control Center,CSG,Guangzhou 510663,China;Electric Power Research Institute,CSG,Guangzhou 510663,China;Nanjing NR Electric Co.,Ltd.,Nanjing 211111,China)
出处
《南方电网技术》
CSCD
北大核心
2024年第1期85-93,共9页
Southern Power System Technology
基金
江苏省重点研发计划资助项目(BE2020688)
中国南方电网有限责任公司科技项目(000000KK52200035)。
关键词
端对端交易市场
分布式储能
云储能聚合商
广义Nash均衡
peer-to-peer traction market
distributed energy storage
cloud energy storage aggregator
generalized Nash equilibrium
