OPTIMIZATION AND SCHEDULING STRATEGY OF "SOURCE-LOAD-STORAGE" COLLABORATIVE INTERACTION IN ACTIVE DISTRIBUTION NETWORK BASED ON POA-GWO-CSO

Dai Wendong; Jin Ping

doi:10.19912/j.0254-0096.tynxb.2025-0514

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (8) : 369-380. DOI: 10.19912/j.0254-0096.tynxb.2025-0514

OPTIMIZATION AND SCHEDULING STRATEGY OF "SOURCE-LOAD-STORAGE" COLLABORATIVE INTERACTION IN ACTIVE DISTRIBUTION NETWORK BASED ON POA-GWO-CSO

Dai Wendong, Jin Ping

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Abstract

To address the issue of wind and solar curtailment caused by the high proportion of renewable energy connected to the power grid in Ningxia, an active distribution network-based "source-load-storage" collaborative interactive optimization scheduling method. This method is developed based on Pelican optimization algorithm （POA） - Grey Wolf optimization algorithm （GWO） - Cross over optimization algorithm （CSO） is proposed. First, based on the thermal storage capacity of the building envelope structure, a building thermal dynamic model with flexible resources such as air conditioning is established. By comprehensively considering the wind and photovoltaic output characteristic curves and the operational constraints of active distribution networks and energy storage stations, a "source-load-storage" collaborative operation model of active distribution networks is constructed. Secondly, a multi-objective interactive optimization scheduling strategy for active distribution networks "source-load-storage" is proposed, which fully utilizes the operational flexibility of loads and energy storage stations, reduces system operating costs, and improves the absorption rate of renewable energy. Then, to improve the accuracy of solving multi-objective optimization problems, the POA-GWO-CSO optimization algorithm is used to solve the model. Finally, based on the actual operational dataset of Minning Town in Ningxia, the impact of different optimization scheduling strategies on the operation of active distribution networks and the consumption of renewable energy is compared and analyzed, thereby verifying the effectiveness of the strategies proposed in this paper.

Key words

renewable energy / multi-objective optimization / energy storage system / active distribution network / virtual energy storage / POA-GWO-CSO algorithm

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Dai Wendong, Jin Ping. OPTIMIZATION AND SCHEDULING STRATEGY OF "SOURCE-LOAD-STORAGE" COLLABORATIVE INTERACTION IN ACTIVE DISTRIBUTION NETWORK BASED ON POA-GWO-CSO[J]. Acta Energiae Solaris Sinica. 2026, 47(8): 369-380 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0514

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