DIGITAL TWIN-BASED MULTI-OBJECTIVE OPTIMAL SCHEDULING FOR HYBRID MICROGRIDS

Zhang Dongsheng; Liu Hong; Li Chaofeng

doi:10.19912/j.0254-0096.tynxb.2023-1665

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (2) : 184-192. DOI: 10.19912/j.0254-0096.tynxb.2023-1665

DIGITAL TWIN-BASED MULTI-OBJECTIVE OPTIMAL SCHEDULING FOR HYBRID MICROGRIDS

Zhang Dongsheng¹, Liu Hong¹, Li Chaofeng²

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Abstract

The daily optimal scheduling of traditional AC/DC hybrid microgrid faces many problems, including over-simplified equipment modeling, delayed information capture and transmission, etc. This paper proposes a multi-objective optimization scheduling method for AC/DC hybrid microgrid based on digital twin. Firstly, the digital model of AC/DC hybrid microgrid is established, considering that the microgrid is easily disturbed by local meteorological conditions, local load, external large grid environment and other factors. Then, taking economic benefit and health degree of energy storage device as goals, a multi-objective particle swarm optimization algorithm based on improved archive maintenance strategy and fuzzy decision method is proposed to realize the real-time scheduling optimization of energy storage device output. Finally, the microgrid simulation model is established based on Cloudpss platform. The simulation results show that the proposed method can improve the economic efficiency of the microgrid under the premise of maintaining the health of the energy storage device.

Key words

digital twin / microgrid / multi-objective optimization / particle swarm algorithm / fuzzy decision making

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Zhang Dongsheng, Liu Hong, Li Chaofeng. DIGITAL TWIN-BASED MULTI-OBJECTIVE OPTIMAL SCHEDULING FOR HYBRID MICROGRIDS[J]. Acta Energiae Solaris Sinica. 2025, 46(2): 184-192 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1665

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