国际群体智能与进化计算杂志

抽象的

Hybridization of Whale Optimization with Hill Climbing Technique for Solving Optimal Reactive Power Problem

Lenin Kanagasabai

In this work Hybridization of Whale Optimization Algorithm with Hill Climbing Technique (HWOHC) has been applied for solving optimal reactive power problem. Hybridization of whale optimization with Hill climbing technique (HWOHC) enriches the exploration and also enhances the arbitrary switching between two exploration points. In HWOHC two operators successively act upon each whale to found find new regions around the whale by exploration and exploitation. Then from the two rival agents it will retain the best downhill afterwards the superior will be retained and remaining will be eliminated in subsequent stages. Proposed HWOHC has been tested in standard IEEE 30, bus test system and results show the projected HWOHC algorithm reduced the power loss comprehensively. Mainly projected HWOHC algorithm solved the multi-objective formulation of the problem and with reference to reduction of power loss, voltage deviation minimization, voltage stability enhancement results has been analyzed.