Elephant herd optimisation algorithm for solving optimal reactive power problem

K. Lenin
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Abstract

Multifaceted deeds of elephants are considered for a bio-inspired algorithm model. In this work reactive power optimisation problem is solved by elephant herd optimisation (EHO) algorithm. Normally elephants lead the life as clan under the single leadership of matriarch and during mathematical modelling population of elephants are alienated to have a mixture of relations. In each cycle of generation, male elephants leave their clan at matured stage and move far away from the clan. In first step of the algorithm elephant population are segregated as 'k' clans. Exploration and exploitation has been balanced throughout the process. Proposed EHO algorithm is evaluated in IEEE-30, 57,118,300 systems without considering voltage stability index. Then in IEEE 30 bus system with considering voltage stability index criterion, evaluation has been done. Voltage stability index value increased and power loss reduced considerably.
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求解最优无功功率问题的象群优化算法
在仿生算法模型中考虑了大象的多方面行为。本文采用象群优化算法求解无功功率优化问题。通常情况下,大象在母系的单一领导下以氏族的身份生活,在数学建模过程中,大象种群被异化为混合关系。在每一个世代周期中,公象都会在成熟阶段离开自己的家族,远离家族。在算法的第一步中,大象种群被划分为“k”族。勘探和开发在整个过程中是平衡的。在不考虑电压稳定性指标的情况下,在IEEE-3057118300系统中对所提出的EHO算法进行了评估。然后在考虑电压稳定性指标准则的IEEE30总线系统中进行了评估。电压稳定指标值提高,功率损耗显著降低。
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92
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