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A Review of Optimization of Microgrid Operation

Author

Listed:
  • Kaiye Gao

    (School of Economics and Management, Beijing Information Science & Technology University, Beijing 100192, China
    Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China)

  • Tianshi Wang

    (School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China)

  • Chenjing Han

    (School of Economics and Management, Beijing Information Science & Technology University, Beijing 100192, China)

  • Jinhao Xie

    (School of Economics and Management, Beijing Information Science & Technology University, Beijing 100192, China)

  • Ye Ma

    (School of Economics and Management, Beijing University of Technology, Beijing 100124, China)

  • Rui Peng

    (School of Economics and Management, Beijing University of Technology, Beijing 100124, China)

Abstract

Clean and renewable energy is developing to realize the sustainable utilization of energy and the harmonious development of the economy and society. Microgrids are a key technique for applying clean and renewable energy. The operation optimization of microgrids has become an important research field. This paper reviews the developments in the operation optimization of microgrids. We first summarize the system structure and provide a typical system structure, which includes an energy generation system, an energy distribution system, an energy storage system and energy end users. Then, we summarize the optimization framework for microgrid operation, which contains the optimization objective, decision variables and constraints. Next, we systematically review the optimization algorithms for microgrid operations, of which genetic algorithms and simulated annealing algorithms are the most commonly used. Lastly, a literature bibliometric analysis is provided; the results show that the operation optimization of microgrids has received increasing attention in recent years, and developing countries have shown more interest in this field than developed countries have. Finally, we highlight future research challenges for the optimization of the operation of microgrids.

Suggested Citation

  • Kaiye Gao & Tianshi Wang & Chenjing Han & Jinhao Xie & Ye Ma & Rui Peng, 2021. "A Review of Optimization of Microgrid Operation," Energies, MDPI, vol. 14(10), pages 1-39, May.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:10:p:2842-:d:554992
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