Abstract
The Golden Eagle algorithm was proposed in 2020 by Abdolkarim et al. and has been applied in several fields. In this paper, we introduce the proposed algorithm to the reactive power optimization problem for distribution networks and develop a dual-objective reactive power optimization model with active network loss and node voltage bias. Logistic chaotic mapping and Levy flights are introduced to improve the original algorithm, which is prone to local optima and slow convergence. Finally, the IEEE30 node system is used for testing, which verifies the feasibility of the proposed algorithm in the reactive power optimization problem, and the improved algorithm has faster convergence and higher solution accuracy.
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