A Review of Optimization of Microgrid Operation

• Published in: Energies (Basel) Vol. 14; no. 10; p. 2842
• Main Authors: Gao, Kaiye, Wang, Tianshi, Han, Chenjing, Xie, Jinhao, Ma, Ye, Peng, Rui
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.05.2021
• Subjects: algorithm; Algorithms; Alternative energy sources; Bibliometrics; Biomass energy; Clean energy; Developed countries; Developing countries; Distributed generation; Electricity distribution; End users; Energy distribution; Energy storage; Energy utilization; Gases; Genetic algorithms; LDCs; literature bibliometric; Literature reviews; microgrid operation; Natural gas; Optimization; Optimization algorithms; Power supply; R&D; Renewable resources; Research & development; Reviews; Simulated annealing; Solar energy; system structure; Wind power
• ISSN: 1996-1073; 1996-1073
• DOI: 10.3390/en14102842

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.