JOURNAL ARTICLE

Comparison of Intelligent Techniques to Solve Economic Load Dispatch Problem with Line Flow Constraints

Abstract

A comparative analysis using different intelligent techniques has been carried out for the Economic Load Dispatch (ELD) problem considering line flow constraints for the regulated power system to ensure a practical, economical and secure generation schedule. The objective of this paper is to minimize the total production cost of the thermal power generation. Economic Load Dispatch (ELD) has been applied to obtain optimal fuel cost. Optimal Power Flow has been carried out to obtain ELD solutions with minimum operating cost satisfying both unit and network constraints. In this paper, various intelligent techniques such as Genetic Algorithm (GA), Evolutionary Programming (EP), Particle Swarm Optimization (PSO), and Differential Evolution (DE) have been applied to obtain ELD solutions. The proposed algorithm has been tested on two sample systems viz IEEE 30 bus system and a 15 unit system. The results obtained by the various intelligent techniques are compared. The solutions obtained are quite encouraging and useful in the economic environment. The algorithm and simulation are carried out using Matlab software.

Keywords:
Economic dispatch Computer science Particle swarm optimization Mathematical optimization Electric power system Schedule Genetic algorithm MATLAB Differential evolution Power system simulation Operating cost Power (physics) Engineering Algorithm Mathematics

Metrics

37
Cited By
2.39
FWCI (Field Weighted Citation Impact)
27
Refs
0.90
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Electric Power System Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Optimal Power Flow Distribution
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Thermal Analysis in Power Transmission
Physical Sciences →  Engineering →  Control and Systems Engineering

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