Electronic Science and Technology ›› 2019, Vol. 32 ›› Issue (3): 26-31.doi: 10.16180/j.cnki.issn1007-7820.2019.03.006

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Economic Operation of Microgrid Considering Operational Risk and Customer Satisfaction

ZHANG Jinwei,LI Guoping   

  1. Hubei Provincial Collaborative Innovation Center for New Energy Micro-Grid,China Three Gorges University,Yichang 443002,China
  • Received:2018-03-18 Online:2019-03-15 Published:2019-03-01
  • Supported by:
    National Natural Science Foundation of China(51507092)


Solving the randomness and volatility of the new energy output in the microgrid is the premise and key to the optimal operation of the microgrid. In this paper, the robust optimization theory was introduced into the operation optimization of microgrid, and the multi-objective robust optimization model of microgrid with wind power generation, micro gas turbine, distribution network and battery was constructed with the aim of running cost and environmental cost. The natural selection particle swarm optimization algorithm was performed to solve the proposed model. The simulation results showed that compared with the traditional deterministic optimization, the robust optimization sacrificed the economical, but the reliability of the microgrid operation was balanced, and the relationship between cost and risk was balanced. At the same time, multi-objective optimization balanced the economic and environmental protection of the microgrid, providing a reference for the optimal operation of the microgrid.

Key words: micro grid, robust optimization, operating risk, economic operation, multi-objective optimization, natural selection particle swarm optimization algorithm

CLC Number: 

  • TN271