• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

ELECTRIC POWER CONSTRUCTION ›› 2022, Vol. 43 ›› Issue (11): 73-84.doi: 10.12204/j.issn.1000-7229.2022.11.008

• Planning, Configuration and Operation Control of Energy Storage System under the Background of New Power Systems •Hosted by Professor-level Senior Engineer LI Xiangjun, Professor SHUAI Zhikang and Associate Professor YAN Ning• • Previous Articles     Next Articles

Cloud Energy Storage Service Mechanism Considering Multi-Agent Power Transaction

WANG Miaomiao1(), LI Huaqiang1(), HE Yongxiang2()   

  1. 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
  • Received:2022-05-20 Online:2022-11-01 Published:2022-11-03
  • Contact: LI Huaqiang E-mail:wmiaom@126.com;lihuaqiang@scu.edu.cn;263694447@qq.com
  • Supported by:
    Sichuan Science and Technology Program(2021YFSY0019)


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.

Key words: cloud energy storage service, bid matching, electric energy dispatch, renewable energy consumption

CLC Number: