A Review of Optimization of Microgrid Operation
Kaiye Gao,
Tianshi Wang,
Chenjing Han,
Jinhao Xie,
Ye Ma and
Rui Peng
Additional contact information
Kaiye Gao: School of Economics and Management, Beijing Information Science & Technology University, Beijing 100192, 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
Energies, 2021, vol. 14, issue 10, 1-39
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.
Keywords: microgrid operation; optimization; system structure; algorithm; literature bibliometric (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (17)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:10:p:2842-:d:554992
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