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考虑多主体电能交易的云储能服务机制
引用本文:王苗苗,李华强,何永祥.考虑多主体电能交易的云储能服务机制[J].电力建设,2000,43(11):73-84.
作者姓名:王苗苗  李华强  何永祥
作者单位:1.智能电网四川省重点实验室(四川大学), 成都市 610065;2.国网四川省电力公司遂宁供电公司, 四川省遂宁市 629000
基金项目:四川省科技计划资助(2021YFSY0019)
摘    要:为实现云储能业务的商业化推广,在保证用户整体效益最优的前提下,提出了一种考虑多主体电能交易的云储能服务机制,挖掘了储能资源与可再生能源匹配的价值,在电能交易中引入竞争机制,有效激励用户积极参与服务,提高用户自主性及交易效率,为云储能商业化业务提供了一种新的思维方式。首先,根据用户用能行为设计了云储能服务机制架构及业务流程。其次,构建了以用户净用能成本最小为目标的日前电能调度模型及策略。然后,建立了以多轮次集合竞价为规则的电能交易竞价及匹配策略。在此基础上,设计了违约处理及费用结算模型,以明确各参与主体的效益。最后,以某园区为例验证了所提服务机制的有效性。结果表明,该机制能够实现可再生能源的最大程度就地消纳,降低用户的用能成本,使用户间良性竞争,实现各主体多方共赢。

关 键 词:云储能服务    竞价匹配    电能调度    可再生能源消纳
收稿时间:2022-05-20

Cloud Energy Storage Service Mechanism Considering Multi-Agent Power Transaction
WANG Miaomiao,LI Huaqiang,HE Yongxiang.Cloud Energy Storage Service Mechanism Considering Multi-Agent Power Transaction[J].Electric Power Construction,2000,43(11):73-84.
Authors:WANG Miaomiao  LI Huaqiang  HE Yongxiang
Affiliation:1. Key Laboratory of Intelligent Electric Power Grid of Sichuan Province(Sichuan University), Chengdu 610065, China;2. State Grid Sichuan Electric Power Company Suining Power Supply Company, Suining 629000, Sichuan Province, China
Abstract:In order to realize the commercialization of cloud energy storage business, on the premise of ensuring the best overall benefit of users, a cloud energy storage service mechanism considering multi-agent power transactions is proposed, and the value of matching energy storage resources with renewable energy is explored. This paper provides a new way of thinking for the commercialization of cloud energy storage by introducing a competition mechanism in electric energy trading, to encourage users to actively participate in services and improve user autonomy and transaction efficiency. Firstly, the architecture and business process of cloud energy storage service mechanism are designed according to the user’s energy consumption behavior. Secondly, a day-ahead power dispatching model and strategy with the goal of minimizing the net energy cost of users are constructed. Then, an electric energy trading bidding and matching strategy based on multiple rounds of collective bidding is established. On this basis, a default processing and fee settlement model is designed to clarify the benefits of each participant. Finally, a park is taken as an example to verify the effectiveness of the proposed service mechanism. The results show that this mechanism can realize the maximum local consumption of renewable energy, reduce the energy consumption cost of users, enable healthy competition among users, and achieve a win-win situation for all parties.
Keywords:cloud energy storage service                                                                                                                        bid matching                                                                                                                        electric energy dispatch                                                                                                                        renewable energy consumption
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