Open AccessA microgrid scheduling method based on Evolutionary Game
Author(s) -
Yaoxian Xu,
Xuefeng Yan
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1549/5/052074
Subject(s) - microgrid , computer science , mathematical optimization , scheduling (production processes) , evolutionary algorithm , renewable energy , evolutionarily stable strategy , swarm behaviour , game theory , artificial intelligence , engineering , mathematics , mathematical economics , control (management) , electrical engineering
In order to solve constrained scheduling problem in microgrid. A micrgrid scheduling method based on evolutionary game is proposed in this paper. Further more, a renewable energy and traditional energy generators group with different cost functions was studied as an example. The results show that evolutionary game method proposed in this paper has higher accuracy and stability than the existing artificial fish swarm optimization algorithm (AFS). In the scheduling model of microgrid, the optimized cost of power supply has been reduced by 2%.