An Effective Non-Traditional Algorithm for Solving the Problem of Optimal Power Flow with Minimum Environmental Pollution Using Price Penalty Factors

Abstract

© 2018 SERSC Australia. Combined Economic and Emission Dispatch (CEED) problem is one of the important optimization problems concerning power system issues. The objective is to determine and provide an economic condition for generation units, subject to minimize the total fuel cost and environmental pollution caused by fossil based thermal generating units, founded on the generation and transmission constraints. In this paper, Particle Swarm Optimization (PSO) is proposed for solving the CEED problem under some equality and inequality constraints. The effect of four Price Penalty Factors (PPF)such as Min-Max, Max-Max, Min-Min and Max-Min price penalty factors are included in order to convert the biobjective problem into a single objective function. The validity of the proposed PSO based algorithm is demonstrated for three power system test cases: the IEEE 30-bus system with 6 generators, the 11 generation units system and the Real West Algeria power network consisting of 22 buses with 7 generators. The results are compared to data from SONELGAZ reported in a recent literature and it proves the feasibility of PSO based algorithm for the CEED problem.