基于动态互利算法的配电网调度优化

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中图分类号：TM734 文献标志码：A 文章编号：1008-0562（2026）01-0107-08

Scheduling optimization of distribution network based on dynamic mutualism pelican optimization algorithm

DONGHai'，WEIDaiyu² （1. College of Applied Technology，Shenyang University， Shenyang 11oo41， China; 2.College of Mechanical Engineering， Shenyang University， Shenyang 11oo41， China）

Abstract：Toaddress the diffculty in finding feasible oroptimalsolutions to the optimal reactive powerdispatch problem in active distribution networks using traditional optimization algorithms，this paper proposes a multiobjective optimization method for reactive power dispatch to improve solution accuracy and reduce power losses. With thepower balance equations as the equality constraints and the transmisson capacities ofbuses and feders' capacities as the inequality constraints，a reactive power dispatch model is established，which aims to minimize active power losses，total voltage deviation，and total reactive power investment.A dynamic mutualism pelican optimization algorithm is proposed.This algorithm introduces a mutualistic phase from the symbiotic organisms search algorithm to facilitate communication between pelicans，balancing the exploration and exploitation phases ofthe pelican optimization algorithm.The dynamic weighting technique is employed to enhance the algorithm's exploration and convergence capabilities. Using the IEEE 69-node system as acase study，the proposed dynamic mutualism pelican optimization algorithm is compared with three other algorithms.The results show that the proposed algorithm achieves a wel-distributed and broad Pareto front，contributing to improved power system stability.The research conclusion provides an effective optimization tool and decision-making reference for the efficient，stable and economical operation of active distribution networks.

Keywords： distributed power supply； distribution network； reactive power scheduling; pelican optimization algorithm; multi-objective reactive power optimization; dynamic weighting

0引言

分布式发电技术包括光伏发电、风能发电、生物质能发电、燃气轮机及潮汐能发电等形式，其规模化发展推动了新能源的并网应用[]。（剩余11745字）