Reactive Power Optimization Method of Photovoltaic Energy Storage Distribution Network Based on Improved Red-Billed Blue Magpie Optimization Algorithm

doi:10.3969/j.issn.1008-0198.2025.03.014

Abstract

Abstract: Aiming at the problems of increased active losses, voltage deviation and uncertainty of load output caused by distributed power supply access to the distribution network, a multi-objective optimization model is constructed for the joint regulation of energy storage system and photovoltaic(PV) power supply with the objectives of minimum active network losses and voltage deviation, and the reactive power optimization model is analyzed by means of the constraints of on-load regulating transformer and capacitor bank actions and the constraints of photovoltaic(PV) power generation and energy storage outputs. An improved red-billed blue magpie optimization algorithm based on chaotic mapping lens initialization, nonlinear parameter factors, and adaptive inertia weights is proposed to prevent the algorithm from premature convergence and enhance the global search capability. Finally, the improved algorithm is applied to simulate the IEEE 33-node system containing a photovoltaic-storage distribution network, and the comparison with other algorithms shows that the algorithm has the advantages of good optimization and high search efficiency, which verifies the efficiency and stability of the proposed algorithm.

Key words: distribution network, reactive power optimization, photovoltaic power generation, energy storage system, red-billed blue magpie optimization algorithm (RBMO)

CLC Number:

TM761

MA Fanshuo, YU Huijun, Li Jiaxuan, LiU Zeyu, KANG Qinze. Reactive Power Optimization Method of Photovoltaic Energy Storage Distribution Network Based on Improved Red-Billed Blue Magpie Optimization Algorithm[J]. Hunan Electric Power, 2025, 45(3): 95-102.

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