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作者:

Gao, Kaiye (Gao, Kaiye.) | Wang, Tianshi (Wang, Tianshi.) | Han, Chenjing (Han, Chenjing.) | Xie, Jinhao (Xie, Jinhao.) | Ma, Ye (Ma, Ye.) | Peng, Rui (Peng, Rui.) (学者:彭锐)

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SCIE

摘要:

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.

关键词:

algorithm literature bibliometric microgrid operation optimization system structure

作者机构:

  • [ 1 ] [Gao, Kaiye]Beijing Informat Sci & Technol Univ, Sch Econ & Management, Beijing 100192, Peoples R China
  • [ 2 ] [Han, Chenjing]Beijing Informat Sci & Technol Univ, Sch Econ & Management, Beijing 100192, Peoples R China
  • [ 3 ] [Xie, Jinhao]Beijing Informat Sci & Technol Univ, Sch Econ & Management, Beijing 100192, Peoples R China
  • [ 4 ] [Gao, Kaiye]Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
  • [ 5 ] [Wang, Tianshi]Beijing Jiaotong Univ, Sch Econ & Management, Beijing 100044, Peoples R China
  • [ 6 ] [Ma, Ye]Beijing Univ Technol, Sch Econ & Management, Beijing 100124, Peoples R China
  • [ 7 ] [Peng, Rui]Beijing Univ Technol, Sch Econ & Management, Beijing 100124, Peoples R China

通讯作者信息:

  • [Wang, Tianshi]Beijing Jiaotong Univ, Sch Econ & Management, Beijing 100044, Peoples R China

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来源 :

ENERGIES

年份: 2021

期: 10

卷: 14

3 . 2 0 0

JCR@2022

ESI学科: ENGINEERING;

ESI高被引阀值:9

被引次数:

WoS核心集被引频次: 49

SCOPUS被引频次: 63

ESI高被引论文在榜: 0 展开所有

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中文被引频次:

近30日浏览量: 3

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