ECONOMIC DISPATCH OPTIMIZATION OF MICROGRID BASED ON  IMPROVED GREY WOLF OPTIMIZER

Yang Huixian; Kuang Honghai; Li Zilong; Xu Yuhao; Cao Shipeng

doi:10.19912/j.0254-0096.tynxb.2024-1866

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (2) : 365-374. DOI: 10.19912/j.0254-0096.tynxb.2024-1866

ECONOMIC DISPATCH OPTIMIZATION OF MICROGRID BASED ON IMPROVED GREY WOLF OPTIMIZER

Yang Huixian, Kuang Honghai, Li Zilong, Xu Yuhao, Cao Shipeng

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Abstract

To reduce the uncertainty of clean energy and improve the economic efficiency of microgrid scheduling, a scheduling model is established with the objective of minimizing microgrid operating costs and environmental management costs. Firstly, a new dynamic electricity price adjustment mechanism is proposed by integrating time-of-use electricity pricing and the absorption of clean energy, and then demand response is introduced to optimize the load comprehensively. Secondly, an improved grey wolf optimizer （IGWO） is adopted, which is based on the fusion of cosine law variation convergence factor, adaptive inertia weight, and Cauchy mutation. The IGWO is compared with other mature algorithms using typical test functions. Finally, simulation results show that using the IGWO algorithm to solve the price-based demand response model for wind and solar power integration can achieve optimal daily output and significantly reduce the total operating cost, thus verifying the feasibility and economic viability of the proposed research.

Key words

microgrid / demand response / optimal dispatching / dynamic pricing / grey wolf optimizer

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Yang Huixian, Kuang Honghai, Li Zilong, Xu Yuhao, Cao Shipeng. ECONOMIC DISPATCH OPTIMIZATION OF MICROGRID BASED ON IMPROVED GREY WOLF OPTIMIZER[J]. Acta Energiae Solaris Sinica. 2026, 47(2): 365-374 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1866

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