OPTIMAL SCHEDULING STRATEGY FOR MICROGRIDS WITH BSS BASED ON INFORMATION GAP DECISION THEORY

Wang Ziqi; Hou Sizu

doi:10.19912/j.0254-0096.tynxb.2023-2128

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (4) : 164-172. DOI: 10.19912/j.0254-0096.tynxb.2023-2128

OPTIMAL SCHEDULING STRATEGY FOR MICROGRIDS WITH BSS BASED ON INFORMATION GAP DECISION THEORY

Wang Ziqi, Hou Sizu

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Abstract

An optimal scheduling strategy for microgrids with battery swapping stations （BSS） based on information gap decision theory （IGDT） is proposed. The BSS and microgrid operation models are constructed. The constant current-constant voltage equations, which are closer to the engineering practice, are used to describe the charging process, while the model is kept convex through the piecewise linearization method. On this basis, the risk-averse and risk-seeking IGDT models are established, and scheduling strategies under different risk preferences are provided. Simulation results show that the proposed strategy can effectively handle multiple uncertainties from microgrid operation while mitigating operational risks and reducing operating costs.

Key words

electric vehicles / microgrids / uncertainty analysis / battery swapping station / information gap decision theory

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Wang Ziqi, Hou Sizu. OPTIMAL SCHEDULING STRATEGY FOR MICROGRIDS WITH BSS BASED ON INFORMATION GAP DECISION THEORY[J]. Acta Energiae Solaris Sinica. 2025, 46(4): 164-172 https://doi.org/10.19912/j.0254-0096.tynxb.2023-2128

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