A COMPERATIVE ANALYSIS OF COMBINED ECONOMIC AND EMISSION DISPATCH PROBLEM USING CONVENTIONAL AND MODERN ALGORITHMS

An efficient and optimal economic operation of electric power generation has always an important position in the electric power industry. In power system operation, control, management and planning, the dispatch of electric load is the main function that which is further to reduce total production cost of generating units with respect to considered constraints. As the production of electricity from the fossil fuels discharges various pollutants resulted in effective generating units. This leads to the development of combined economic and emission dispatch (CEED) techniques. Economic load dispatch (ELD) and economic emission dispatch (EED) have been applied to obtain optimal fuel cost and optimal emission of generating units respectively. Various techniques have been proposed to solve CEED problem, still convergence is not guaranteed. To overcome those difficulties this paper proposed a genetic algorithm approach. This paper also proposed a lambda based approach for solving CEED problem and finally compared with genetic algorithm methodologies by considering the power limits of the generator, the multi objective CEED problem is converted in to a single objective function usig a modified price penalty factor approach. The simulation results show that the proposed technique for solving CEED problem results in better convergence rate.