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A Microgrid Management System Based on Metaheuristics Particle Swarm Optimization

Deng, Haotian; Jiang, Jing; Qian, Haiya; Sun, Hongjian

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Haotian Deng

Jing Jiang

Haiya Qian


Microgrid is playing an increasingly important role in making the utility grid more intelligent and efficient, since it can make better use of the renewable energy resources to simultaneously relieve the grid supply pressure and reduce carbon emissions. Innovations in electric technologies, information and communication technologies can facilitate better management of the power transmission and distribution in the microgrid. This paper proposes an optimization strategy, which considers distributed generations, photovoltaics and wind turbines, based on particle swarm optimization for the management of the microgrid. Simulation results demonstrate that with the optimal generation resources management and the effective use of demand side management in the microgrid, the proposed strategy can reduce electricity costs by 29.283% and 32.158% on weekdays and weekends, respectively.


Deng, H., Jiang, J., Qian, H., & Sun, H. (2022). A Microgrid Management System Based on Metaheuristics Particle Swarm Optimization. .

Conference Name 6th International Conference on Smart Grid and Smart Cities (ICSGSC 2022)
Conference Location Chengdu, China
Start Date Oct 22, 2022
End Date Oct 24, 2022
Acceptance Date Jun 17, 2022
Online Publication Date Dec 1, 2022
Publication Date 2022
Deposit Date Jun 21, 2022
Publicly Available Date Oct 25, 2022
Publisher Institute of Electrical and Electronics Engineers
Pages 126-131


Accepted Conference Proceeding (853 Kb)

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