Optimal Capacitor Placement to Improve the Performance of the Electrical Power Distribution System Using Genetic Algorithm

Subject Areas : International Journal of Smart Electrical Engineering

Mohammad Hossein  Kafi ¹ (Department of Electrical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran)
Mehdi  Mahdavian ² (Department of Electrical Engineering, Naein Branch, Islamic Azad University, Naein, Isfahan, Iran)
Ali Asghar  Amini ³ (Department of Electrical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran)
Ghazanfar  Shahgholian ⁴ (Department of Electrical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran)
Majid  Dehghani ⁵ (Department of Electrical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran)

Received: 2021-11-06 Accepted : 2021-11-21 Published : 2022-09-01

Keywords: Genetic Algorithm, Capacitor placement, Performance Improvement, Power Sensitivity Coefficient,

Abstract :

The purpose using capacitors in distribution networks is to reduce the total losses of the network. Capacitors help regulate the power factor and voltage in the electrical distribution system, and can be controlled remotely, in and out of the system. Capacitor placement depends on the objective function, which is usually single objective or multi objective. In this paper, the amount of capacitor at minimum load is determined using a genetic algorithm. The calculation is done at peak load to determine the sensitivity of power losses. By using this method, the increase of the voltage caused by the lead phase of the system is prevented in the minimum load. A multi-purpose objective function to simultaneously reduce losses and improve the voltage profile of the optimal capacitor size in each section is detected by a genetic algorithm. To show the efficiency of the method, the capacitor placement results are compared using DIGSIENT software.