Electric Power ›› 2023, Vol. 56 ›› Issue (1): 28-37.DOI: 10.11930/j.issn.1004-9649.202206019

• Electricity Price Marketization Reform and Price Supervision • Previous Articles     Next Articles

User Side Distributed Energy Storage Trading Strategy Based on Dynamic Electricity Price Mechanism

GUO Zhidong1, HU Cungang1,2, RUI Tao2, LUO Kui3, LIN Zhenfeng1   

  1. 1. School of Electrical Engineering and Automation, Anhui University, Hefei 230601, China;
    2. Engineering Research Center of Power Quality, Ministry of Education (Anhui University), Hefei 230601, China;
    3. China Electric Power Research Institute, Beijing 100192, China
  • Received:2022-06-07 Revised:2022-07-28 Accepted:2022-09-05 Online:2023-01-23 Published:2023-01-28
  • Supported by:
    This work is supported by the University Natural Science Foundation Project of Anhui Province (Research on Robust Game Strategy of Distribution Network and Microgrid Cluster under Uncertain Environment, No.KJ2020A0038), the Open Fund of State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems (China Electric Power Research Institute) (No.NYB51202001734)

Abstract: User-side distributed energy storage has the ability to optimize user power load curve and coordinate renewable energy generation at the consumption system side. In this paper, a user-side distributed energy storage trading strategy is proposed based on dynamic electricity price mechanism. Firstly, a day-ahead power dispatching model is constructed for the user-side distributed energy storage and distribution system with full consideration of the uncertainty of new energy output and user’s power demand. Secondly, according to the impact of dynamic electricity price mechanism on the user-side distributed energy storage scheduling plan and the system-side renewable energy consumption level, a power trading model is established for distribution network operators (DNOs) and user-side distributed energy storage owners (DEOs) based on master-slave game, and the metaheuristic algorithm is used to obtain the equilibrium solution of the game model. Finally, it is verified through a case study that the proposed power trading strategy can effectively improve the DNO’s economic benefits and renewable energy accommodation level and reduce the user-side operating costs.

Key words: user side, distributed energy storage system, dynamic electricity price mechanism, Stackelberg game, energy trading