LAPSE:2023.32295
Published Article
LAPSE:2023.32295
A Review of Optimization of Microgrid Operation
Kaiye Gao, Tianshi Wang, Chenjing Han, Jinhao Xie, Ye Ma, Rui Peng
April 20, 2023
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
algorithm, literature bibliometric, microgrid operation, Optimization, system structure
Suggested Citation
Gao K, Wang T, Han C, Xie J, Ma Y, Peng R. A Review of Optimization of Microgrid Operation. (2023). LAPSE:2023.32295
Author Affiliations
Gao K: 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 [ORCID]
Wang T: School of Economics and Management, Beijing Jiaotong University, Beijing 100044, China
Han C: School of Economics and Management, Beijing Information Science & Technology University, Beijing 100192, China
Xie J: School of Economics and Management, Beijing Information Science & Technology University, Beijing 100192, China
Ma Y: School of Economics and Management, Beijing University of Technology, Beijing 100124, China
Peng R: School of Economics and Management, Beijing University of Technology, Beijing 100124, China
Journal Name
Energies
Volume
14
Issue
10
First Page
2842
Year
2021
Publication Date
2021-05-14
ISSN
1996-1073
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PII: en14102842, Publication Type: Review
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