HYBRID ENERGY STORAGE BI-LEVEL OPTIMIZATION SCHEDULING FOR INTEGRATED ENERGY SYSTEMS BASED ON PHOTOVOLTAIC INTERVAL PREDICTION

An Yuan; Feng Haotong; Shi Zonglian; Li Yang; Zhao Tingyu

doi:10.19912/j.0254-0096.tynxb.2024-1764

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (3) : 61-71. DOI: 10.19912/j.0254-0096.tynxb.2024-1764

HYBRID ENERGY STORAGE BI-LEVEL OPTIMIZATION SCHEDULING FOR INTEGRATED ENERGY SYSTEMS BASED ON PHOTOVOLTAIC INTERVAL PREDICTION

An Yuan, Feng Haotong, Shi Zonglian, Li Yang, Zhao Tingyu

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Abstract

A Bi-level optimization scheduling method for mixed energy storage in integrated energy systems based on photovoltaic interval prediction is proposed to address the economic dispatch problem of an integrated energy system with hybrid energy storage. The upper layer includes a data optimization and deep learning based ultra short term photovoltaic power interval prediction method and a hybrid energy storage capacity configuration. By accurately predicting and decomposing the photovoltaic power,the energy storage capacity boundary is formed. The lower layer performs an integrated energy system optimization scheduling considering the configuration of hybrid energy storage capacity,with the goal of minimizing operating costs. Based on the upper layer capacity boundary,the operating range of the integrated energy system is determined,and the capacity boundary is optimized,corrected,and fed back to the upper layer. After multiple iterations,the optimal result is obtained. The calculation results show that this method can effectively reduce system operating costs,increase the uilization of renewable energy generation,and reduce load shedding.

Key words

compressed air energy storage / energy storage / demand response / integrated energy system / ultra-short-term interval prediction / hybrid energy storage / bi-level optimization scheduling

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An Yuan, Feng Haotong, Shi Zonglian, Li Yang, Zhao Tingyu. HYBRID ENERGY STORAGE BI-LEVEL OPTIMIZATION SCHEDULING FOR INTEGRATED ENERGY SYSTEMS BASED ON PHOTOVOLTAIC INTERVAL PREDICTION[J]. Acta Energiae Solaris Sinica. 2026, 47(3): 61-71 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1764

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