Investigation of Conventional and AI Techniques for Online Application to Solve ELD, MED and CEED Problems

Abstract

In this paper, one conventional and two AI techniques are investigated to find their suitability for ON-LINE application to solve Economic Load Dispatch (ELD), Minimum Emission Dispatch (MED) and Combined Economic and Emission Dispatch (CEED) problem. In this paper, three techniques,  Classical Lambda Iteration method, Particle Swarm Optimization (PSO) and Hopfield Neural Network (HNN) are applied to obtain  ELD, MED and CEED problem solutions for three, six and fifteen unit test systems. The results obtained show the superiority of HNN technique over the other two techniques. The solutions obtained are quite encouraging. The algorithm and simulations are carried out using MATLAB software.

Keywords: ELD, MED, CEED, Conventional Lambda Technique, Particle Swarm Optimization (PSO), Hopfield Neural Network (HNN), Price Penalty Factor-PPF.