Optimal placement of capacitor in radial distribution system using PSO

Abstract

The problem of capacitor allocation in Electric Distribution Systems involves maximizing energy and peak power loss reductions by means of capacitor installations. This paper presents a novel approach using approximate reasoning to determine system candidate nodes in a distribution system for capacitor placement. The solution methodology has two parts: in part one the loss sensitivity factors are used to select the candidate locations for the capacitor placement and in part two the Particle Swarm Optimization Technique is used to identify the sizes of the capacitor for minimizing the energy loss cost and capacitor cost. The proposed method is applied to 15-bus and 33-bus radial distribution system.

Optimal Sizing and Placing of Condensers Under Harsh Electric Loads of Coal Mines Excavation Areas

“…В [15] выполнена оптимизация размещения БСК с учетом гармонических искажений в сети методом роя частиц. В работе [16] рассмотрена оптимизация размещения УКРМ методом роя частиц с применением индекса потерь.…”

Optimal capacitor sizing and placement based on real time analysis using PSO for energy efficiency improvement

“…The increase the capability and functionality of capacitors [2]. However, harmonics distortion level will amplify when shunt capacitors are installed randomly without proper calculation in distorted electrical distribution system no matter how good or reliable the capacitors are [3][4][5][6].…”

Coordinated Optimal Placement of Energy Storage System and Capacitor Bank Considering Optimal Energy Storage Scheduling for Distribution System Using Mixed-Integer Particle Swarm Optimization

“…The capacitor placement challenge is a very well-known topic that has been discussed by a number of authors in the past, such as, genetic algorithm method [8,9], the sperm whale algorithm (SWA) [10], moth-flame optimization algorithm [11] and complex calculation methods like fuzzy logic control (FLC) [12], these methods are used for reduce power loss, improve the voltage profile but not considering operation cost. In addition to other considerations, the cost of installing and operating capacitors will be considered, such as cuckoo search algorithm (CSA) [13], locust search method (LS) [14], particle swarm optimization (PSO) [15,16], genetic algorithm (GA) [17], and hybrid approach of PSO-GA [18]. All the above methods can efficiently reduce the operating cost of the installed capacitor bank in the distribution system.…”