樽海鞘群算法在电力系统最优潮流计算中的应用

樽海鞘群算法在电力系统最优潮流计算中的应用
摘要:领导者比例的选取对樽海鞘群算法(salp swarm algorithm，SSA)求解电力系统最优潮流问题的计算结果具有较大的影响。以网损、电压偏移、发电成本、电压稳定度为目标，研究了领导者取种群中最优个体或取种群中适应度较好的前10%～50%的个体对算法求解单目标及多目标最优潮流问题优化效果的影响。对IEEE 30节点系统和IEEE 118节点系统的最优潮流计算表明，樽海鞘群算法中的领导者取为种群中适应度较好的前20%～40%个体时，同算法原有的领导者取种群中最优个体的更新策略相比，可以获得更好的最优潮流求解结果。该文的研究成果可为樽海鞘群算法用于最优潮流相关问题提供借鉴参考。

Abstract：Ratio of leaders in salp swarm algorithm(SSA) has significant influence on the optimal power flow calculation results of power system. Setting the network loss, voltage deviation, generation cost and voltage stability as the objective functions, the different optimization effects of SSA in solving single objective and multi-objective optimal power flow problems was studied when the leader of the algorithm is taken as the best individual of the total population or the ratio of leaders is taken as the top 10%~50% of the total population.The calculation results of IEEE 30-bus system and IEEE 118-bus system show that SSA can obtain better optimization results when the ratio of leaders is taken as the top 20%~40% of the total population. This research can provide some reference for the application of SSA in optimal power flow calculation.

标题：樽海鞘群算法在电力系统最优潮流计算中的应用
title:Application of Salp Swarm Algorithm in Optimal Power Flow Calculation for Power System

作者：张凡, 王雷, 赵娟, 吴磊
authors:ZHANG Fan, WANG Lei, ZHAO Juan, WU Lei

关键词：樽海鞘群算法(SSA),最优潮流,领导者比例,优化效果,
keywords:salp swarm algorithm(SSA),optimal power flow,ratio of leaders,optimization effect,

发表日期：2021-03-29

2025-1-21 20:11 上传 樽海鞘群算法在电力系统最优潮流计算中的应用.pdf

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