Solving Economic and Emission Dispatch Problem Using Search And Rescue Optimization Technique

Abstract

Combined economic and emission dispatch (CEED) in power system is aimed to solve the economics scheduling of generators in order to produce both minimum fuel costs and emission levels, at the same time meets the load demands and its operating constraints. In this paper, Search and Rescue (SAR) optimization technique has been proposed to solve the CEED problem, at which the results obtained are compared with Flower Pollination Algorithm and Evolutionary Programming methods. The comparisons performed can evaluate both the effectiveness and convergence rate among the studied algorithms, with multiple constraints and different cost curve nature. In general, the CEED problem is considered as bi-objective problem initially and it has been transformed into single objective function by using the price penalty factor in its solution. All techniques have been implemented on IEEE 3-Generator 9-Bus system, having a valve point effect with transmission loss. Moreover, MATLAB is used to run the simulations for the test system with three different load demands on each system respectively. Results show that SAR records lowest power loss (0.37-1.62% of power demand), as compared with FPA (0.75-2.36%) and EP (1.00-3.28%). SAR method also show better performance in solving CEED problem with minimum total fuel cost, total emissions and overall CEED cost.