• 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 ›› 2018, Vol. 39 ›› Issue (10): 28-36.doi: 10.3969/j.issn.1000-7229.2018.10.004

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Distributed Optimization Method for Energy Management in Smart Grid Based on Three-level Game Model

ZHANG Zhe, QI Donglian, ZHANG Jianliang   

  1. School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
  • Online:2018-10-01
  • Supported by:
    This work is supported by National Natural Science Foundation of China (No.U1509218).

Abstract: Under the circumstance where smart gird is developing rapidly, it is crucial to improve the power consumption mode of users and optimize supply and distribution system. Aiming at the demand for new energy power generation, a three-level network system is constructed based on game theory to analyze distributed optimization for energy management in smart grid. Firstly, the demand-side is modeled based on the evolutionary game. Secondly, as for the supply-side, a non-cooperated game model is established to accomplish the balance. Then, via the Shapley allocation strategy, a cooperated game model is provided to maximize the benefit for both traditional power generation industry and new energy source companies. Lastly, the simulation cases are conducted and calculated to validate the convergence and effectiveness of the three-level game model.

Key words: Smart grid, distributed optimization, game theory, demand response, energy management

CLC Number: