OPTIMAL CAPACITOR SIZING AND PLACEMENT USING DRAGONFLY ALGORITHM: A CASE STUDY IN KAZAKHSTAN

Abstract

This paper solves capacitor placement problem using a recently developed heuristic algorithm called as Dragonfly optimization algorithm. We aim to determine the sizes and the locations of capacitors by minimizing the voltage deviations and active power losses. For this aim, we utilized Dragonfly Optimization Model and applied on a modified real distribution system from Almaty, Kazakhstan. To be able to simulate different load conditions, we randomly created varied load conditions taking base case as reference point. Then, the capacities and node locations of capacitors providing smallest voltage deviations and active power losses are selected as solutions. From the simulation results we have observed that Dragonfly Algorithm successfully determines near-optimal locations and sizes of the capacitors. © 2020 The Institution of Engineering and Technology.