Solving Economic Load Dispatch Problem using Particle Swarm Optimization and Artificial Bee Colony Optimization Algorithms

International Journal of Electrical and Electronics Engineering

© 2018 by SSRG - IJEEE Journal

Volume 5 Issue 7

Year of Publication : 2018

Authors : N.Deexit and A.Surya Prakasa Rao

10.14445/23488379/IJEEE-V5I7P102

How to Cite?

N.Deexit and A.Surya Prakasa Rao, "Solving Economic Load Dispatch Problem using Particle Swarm Optimization and Artificial Bee Colony Optimization Algorithms," SSRG International Journal of Electrical and Electronics Engineering, vol. 5,  no. 7, pp. 5-8, 2018. Crossref, https://doi.org/10.14445/23488379/IJEEE-V5I7P102

Abstract:

This paper presents a methodology of solving economic load dispatch problem (ELD) to minimize losses and total fuel cost to met the demand. here, 6-unit plant had taken . Different types of algorithms are there for solving ELD different types of algorithms like Particle Swarm Optimization (PSO), Differential Evolution (DE), Artificial Bee Colony (ABC), Genetic Algorithm (GA) , Grey Wolf Optimizer (GWO) etc .but in this paper two types of methods are used first one is Particle Swarm Optimization (PSO) and another Artificial Bee Colony (ABC) algorithms are used. For getting the best result. MATLAB program has to be developed

Keywords:

particle swarm optimization(PSO),artificial bee colony(ABC) algorithms

References:

[1] Dr.L.V.Narasimha Rao, “PSO Technique for Solving the Economic Dispatch Problem Considering the Generator Constraints” International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering. 
[2] Fei Kang, Junie Li, Zhenyue Ma and Haojin Li “Artificial Bee Colony Algorithm with Local Search for Numerical Optimization”. 
[3] Er.Ankit Choubey, DR. G. L. Prajapati “An Understanding of ABC Algorithm And Its Applications”. 
[4] Fahad Parvez Mahdi, Pandian Vasant “Quantum Particle Swarm Optimization For Economic Dispatch Problem Using Cubic Function Considering Power Loss Constraints