EMISSION CONSTRAINED OPTIMAL POWER FLOW USING EFFICIENT MULTIOBJECTIVE FUZZY OPTIMIZATION METHOD

Abstract

For electric power generation and dispatching problems, cost is not any more the only criterion to be met. Environmental considerations have become one of the major management concerns. The harmful ecological effects caused by the emission of particulate and gaseous pollutants like sulfur dioxide (SO2) and nitrogen oxides (NOx), can be reduced by adequate distribution of load between the plants of a power system. However, this leads to a noticeable increase in the operating cost of the plants.
In order to eliminate this conflict, and to study the trade-off relation between fuel cost and emissions, an approach to solve this multiobjective environmental/economic load dispatch problem, based on an efficient multiobjective fuzzy optimization technique, is proposed. To show the effectiveness of the proposed solution method, it is applied to the IEEE 30-bus benchmark test system and compared with some recently published approaches, including linear programming, genetic algorithm and evolutionary algorithm. The obtained results reveal the performance of the proposed method for dealing with the multiobjective nature of power dispatch problem.