• 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 ›› 2019, Vol. 40 ›› Issue (2): 29-36.doi: 10.3969/j.issn.1000-7229.2019.02.004

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Multi-objective Clearing Model of Distribution Market with Microgrids Considering Demand Response

WANG Hui, LIAO Kun, LIN Yixuan, JIN Binbin   

  1. College of Economics and Management,Shanghai University of Electric Power,Shanghai 200090, China
  • Online:2019-02-01
  • Supported by:
    This work was supported by National Natural Sciences Foundations of China (No.71403163), Shanghai Natural Sciences Foundations (No.13ZR1417700) and the Ministry of Eduction Humanities and Social Science Found Project (No.18YJAZH138).

Abstract: The efficient and rational application of the microgrid is conducive to accelerate the low-carbon development of the power industry. With the advancement of electricity market reform, a scientific and rational market competition mechanism will have an important effect on the marketization process of the microgrid. In order to solve the problem of microgrid surplus bidding online, and by fully considering the characteristics of microgrid, a multi-objective bidding clearing model based on block bidding considering demand response is established. The model takes into account the economy and the low-carbon performance of the system. Then an optimized method for translational load and more reasonable hybrid settlement method are proposed. The non-dominated sorting genetic algorithm (NSGA-II) is used to obtain the Pareto solution set for the multi-objective model and the fuzzy clustering method is used for decision making. The results of the example show that the multi-objective bidding clearing model based on the block bidding can improve the market competitiveness of the microgrid and improve the low-carbon performance of the system, and has played a positive role in low carbon economy and environmental protection.

Key words:  microgrid, demand response, block bidding, multi-objective optimization, NSGA-II

CLC Number: