Electric Power ›› 2019, Vol. 52 ›› Issue (11): 19-27,117.DOI: 10.11930/j.issn.1004-9649.201905076

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A Day-Ahead Nash Bargaining Method for Economic Dispatch of the Multi-operator Micro-grid

WU Ming1, KOU Lingfeng1, ZHANG Jin2, HU Cungang2,3   

  1. 1. China Electric Power Research Institute, Beijing 100192, China;
    2. School of Electrical Engineering and Automation, Anhui University, Hefei 230601, China;
    3. Research Center of Power Quality (Anhui University), Ministry of Education, Hefei 230601, China
  • Received:2019-05-15 Revised:2019-08-21 Online:2019-11-05 Published:2019-11-05
  • Supported by:
    This work is supported by National Key R&D Plan of China (No.2016YFB0900400) and the Science and Technology Project of SGCC (Research and Demonstration of Key Technologies of Multi-agent Multi-energy Virtual Power Plant under the Environment of Energy Internet)

Abstract: In the deregulated electricity market environment, the power trading can be carried out among the operators in the micro-grids. In this paper, we take the cost of individual transactions between operators in a micro-grid and power distribution network as the disagreement point of bargaining, and propose a day-ahead economic dispatching Nash bargaining method for multi-operators in micro-grids based on Nash cooperative game theory. This method can minimize the cost of micro-grid systems while each operator obtains Pareto optimal cost. The Nash bargaining model based on this method is a non-convex and non-linear model, which is not easy to solve directly. This paper decomposes the Nash bargaining model into two convex sub-models and uses ADMM algorithm to solve them sequentially in order to protect the privacy of operators. The simulation gives the cost comparison of each operation agent in the micro-grids before and after the bargaining, and further analyses the Nash bargaining strategy among multi-operators in the island mode.

Key words: micro-grid, multi-operator, cooperative game, Nash bargaining solution, alternating direction method of multipliers

CLC Number: