Energy storage optimization control strategy in distribution system based on improved artificial bee colony algorithm

doi:10.19799/j.cnki.2095-4239.2025.0031

Abstract

Abstract:

To address voltage fluctuations caused by the high proportion of intermittent renewable energy access to the power grid and enhance the acceptance capacity of the distribution network for clean energy, this study proposes an energy storage optimization strategy for distribution systems using an improved artificial colony (ABC) algorithm. First, the structure of the energy storage system is analyzed, and mathematical models are constructed for the energy conversion efficiency, power-capacity relationships, and state of charge. Second, a two-layer optimal control model was proposed for a distributed energy storage system. The upper control layer prioritizes minimizing voltage deviation and maximizing system stability, while the lower layer optimizes renewable energy consumption and reduces system active power network loss by coordinating distributed energy storage power allocation. The ABC algorithm was introduced to solve the model, integrating Cauchy variation to enhance the global search ability of the algorithm, and a dynamic inertia weight mechanism was combined to accelerate convergence and improve solution accuracy. Finally, the proposed strategy was validated on a typical IEEE33-node distribution network, demonstrating its effectiveness in enhancing renewable energy utilization, maximizing the regulatory role of energy storage systems, and ensuring flexible, reliable distribution network operation.

Key words: energy storage system, control strategy, artificial colony algorithm, Cauchy variation, inertia weight, new energy

CLC Number:

TM 727

Junyang XIAO, Jinge LUO, Weizhe MA, Wuping CHENG, Tong ZENG. Energy storage optimization control strategy in distribution system based on improved artificial bee colony algorithm[J]. Energy Storage Science and Technology, 2025, 14(6): 2567-2574.

Figures/Tables 8

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