Abstract
In this paper optimal reactive power dispatch problem (ORPD), has been solved by Enriched Red Wolf Optimization (ERWO) algorithm. Projected ERWO algorithm hybridizes the wolf optimization (WO) algorithm with swarm based algorithm called as particle swarm optimization (PSO) algorithm. In the approach each Red wolf has a flag vector, and length is equivalent to the whole sum of numbers which features in the dataset of the wolf optimization (WO). Exploration capability of the projected Red wolf optimization algorithm has been enriched by hybridization of both WO with PSO. Efficiency of the projected Enriched Red wolf optimization (ERWO) evaluated in standard IEEE 30 bus test system. Simulation study indicates Enriched Red wolf optimization (ERWO) algorithm performs well in tumbling the actual power losses& particularly voltage stability has been enriched.
Highlights
Reactive power problem plays major role in improving secure & economic of power system operation & control
Particle swarm optimization (PSO) [22] has good feature of exploration ability and it has been hybridized with Wolf optimization algorithm (WO) to produce an Enriched version called as Enriched Red wolf
Results indicate that Enriched Red wolf optimization (ERWO) algorithm performs well in tumbling the actual power losses& margin index value of voltage stability has been improved
Summary
Reactive power problem plays major role in improving secure & economic of power system operation & control. Days various types of Evolutionary algorithms implemented to solve problem [7,8,9,10,11,12,13,14,15]. In this work Enriched Red wolf optimization (ERWO) algorithm has been implemented to work out the problem. Both Exploration & Exploitation has been improved. In standard IEEE 30 bus test system efficiency of Enriched Red wolf optimization (ERWO) algorithm has been evaluated. Results indicate that Enriched Red wolf optimization (ERWO) algorithm performs well in tumbling the actual power losses& margin index value of voltage stability has been improved
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