Open AccessA Review on Evolutionary Methodology more appropriate for implementation in Economic Load Dispatch
Author(s) -
Tejaswita Khobaragade,
K.T Chaturvedi
Publication year - 2022
Publication title -
ymer
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.103
H-Index - 5
ISSN - 0044-0477
DOI - 10.37896/ymer21.03/45
Subject(s) - particle swarm optimization , economic dispatch , mathematical optimization , computer science , evolutionary algorithm , evolutionary programming , simulated annealing , genetic algorithm , electricity , production (economics) , electricity generation , electric power system , power (physics) , engineering , economics , mathematics , microeconomics , physics , quantum mechanics , electrical engineering
Economic Load Dispatch (ELD) is approach to reduced the cost of electricity generation without any compromisation on its quality and its reliability. As per the economic point of view the production cost must be minimized. For the different load demands at different time period vary as well as requirement of power also vary. For this it is very important to monitorized the demand and its production. The principle factor in Thermal and Nuclear power plant is Fuel cost. In this paper we have studied different evolutionary method and obtain the best method among them perhaps, in order to bring the best solution to ELD problems an evolution of soft computing methods and many other methods have been successfully conducted such as Simulated Annealing (SA), Genetic Algorithm (GA), Honey Bee Mating Optimization (HBMO), Particle Swarm Optimization (PSO), Gravitational Search Algorithm (GSA) and PSO-GSA hybrid method. To bring more appropriate optimized solution for ELD problems.