Work

Application of Particle Swarm Optimization and Simulated Annealing Techniques for Optimal Location and Sizing of Distributed Generators

Year: 2019

Type: article

Abstract: Distributed Generators (DGs) are generators that produce electrical power from quite a fewmodest energy resources. Some could be referred to as on-site generation, dispersedgeneration, embedded generation, decentralized generation or distributed energy. TheseDGs are located in metropolitan locations if you want to minimize the losses in transmittingthe energy. In order to identify the size of the distributed generators, an optimizationtechnique is required if the location has been determined. In this study, Fast Voltage StabilityIndex (FVSI) is applied to figure out the appropriate location for the DGs while EvolutionRandom Number and hybrid Particle Swarm Optimization (PSO) and Simulated Annealing(SA) were used as the optimization technique to identify the suitable size of the distributedgenerators. In order to conduct validation process, the IEEE test system is utilized in thisstudy. The results show the viability of using the proposed method over genetic algorithm.

Source: Zaria Journal of Electrical Engineering Technology

DOI: 10.67203/zjeet.2019.ettzutmh

Authors: S. M. Lawan, W. A. W. Z. Abidin, T. Masri, S. J. Kawu

Institutions: Universiti Malaysia Sarawak, Baze University

Language: English

Topic: Optimal Power Flow Distribution

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy

Open Access status: bronze

Funder: Universiti Malaysia Sarawak