RESEARCH ON MULTI-OBJECTIVE OPTIMAL CONFIGURATION OF BATTERY ENERGY STORAGE IN DISTRIBUTION NETWORK BASED ON HYBRID ALGORITHM

Cao Wensi; Zhang Min; Huang Hui

doi:10.19912/j.0254-0096.tynxb.2020-0529

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Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (5) : 541-546. DOI: 10.19912/j.0254-0096.tynxb.2020-0529

RESEARCH ON MULTI-OBJECTIVE OPTIMAL CONFIGURATION OF BATTERY ENERGY STORAGE IN DISTRIBUTION NETWORK BASED ON HYBRID ALGORITHM

Cao Wensi¹, Zhang Min², Huang Hui¹

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Abstract

Based on the theory of random constrained programming and considering the uncertain factors of the system, a multi-objective location and capacity model for energy storage power stations in the distribution network is proposed. First, the economic and reliability characteristics of the distribution network are analyzed, and then the optimization model of the energy storage power station is established based on random chance constraint programming. The binary particle swarm algorithm and the hybrid algorithm of improved particle swarm algorithm are used to solve the model. Finally, according to the research model which is established, combined with the IEEE 33 standard node distribution network system, a optimization configuration example of the energy storage power station in the distribution network is established, and the two modes of off-grid mode and grid-connected mode are simulated, and the optimized configuration results are compared and analyzed.

Key words

battery energy storage / reliability analysis / active distribution network / multi-objective optimization / improved particle swarm algorithm

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Cao Wensi, Zhang Min, Huang Hui. RESEARCH ON MULTI-OBJECTIVE OPTIMAL CONFIGURATION OF BATTERY ENERGY STORAGE IN DISTRIBUTION NETWORK BASED ON HYBRID ALGORITHM[J]. Acta Energiae Solaris Sinica. 2022, 43(5): 541-546 https://doi.org/10.19912/j.0254-0096.tynxb.2020-0529

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