134 International Journal for Modern Trends in Science and Technology Combined Economic And Emission Dispatch Using Random Drift Particle Swarm Optimization K.Naga Bindu 1 | K.Kiran Kumar 2 1 PG Student, Department of EEE, Sree Vahini Institute of Science and Technology, Tiruvuru, Andhra Pradesh, India 2 Associate Professor & Head, Department of Electrical and Electronics Engineering, Tiruvuru, Andhra Pradesh, India. To Cite this Article K. Naga Bindu, K. Kiran Kumar, DzCombined Economic And Emission Dispatch Using Random Drift Particle Swarm Optimizationdz, International Journal for Modern Trends in Science and Technology, Vol. 02, Issue 11, 2016, pp. 134-139. The efficient and optimum economic operations of electric power generation systems have always occupied an important position in the electric power industry. In recent years, this problem area has taken a new direction as the public has become increasingly concerned with environmental matters. The harmful ecological effects caused by the emission of these gaseous pollutants can be reduced by optimal distribution of load between the plants of a power system. However, this leads to a noticeable increase in system operating cost. Therefore both need to be balanced. In this work, three techniques, i.e., one Conventional Technique- Lambda Iteration Technique and two AI Techniques- Particle Swarm Optimization (PSO) and Random Drift Particle Swarm Optimization (RDPSO) Techniques, are investigated to solve Combined Economic and Emission Dispatch (CEED) problem. This multi-objective CEED problem is converted into a single optimization problem using a Price Penalty factor approach. The investigation is carried out on 15- Generating Unit Test Systems with respect to Total Operating Cost, Total Emission, System Losses. Results show that in solving Combined Economic and Emission Dispatch (CEED) problem, Random Drift Particle Swarm Optimization (RDPSO) Technique is superior to other two techniques in terms of reduced operating cost. Therefore, Random Drift Particle Swarm Optimization (RDPSO) Technique is very much suitable and recommended for On-Line application for solving Combined Economic and Emission Dispatch problem of power system operation. KEYWORDS: optimization, economic load dispatch, emission dispatch, combined economic emission dispatch, generating unit, power system operation Copyright © 2016 International Journal for Modern Trends in Science and Technology All rights reserved. I. INTRODUCTION Highlight a Electric power utilities are always attempting to provide high quality, reliable supply of electrical energy at a reasonable cost. Among the options that are available to the power system operator in choosing how to operate the system, the most significant choice is Economic Load Dispatch (ELD). Economic Load Dispatch is the scheduling of generators to minimize the total operating cost of power system subjected to the satisfaction of equality and inequality constraints. The traditional Economic Load Dispatch problem purpose is to determine the most economical schedule of the generating plants or units while satisfying operational constraints and total load demand. This includes allocation real power allocation between the generating units, as the fuel cost is insensitive to the reactive loading of a generator. Economy of a generating unit does not depend upon the manner in which the reactive load of the power station is shared among different ABSTRACT International Journal for Modern Trends in Science and Technology Volume: 02, Issue No: 11, November 2016 ISSN: 2455-3778 http://www.ijmtst.com