Application of Modified Artificial Bee Colony Algorithm for Combined Economic Load and Emission Dispatch

The ELD problem in a power system is to determine the optimal combination of power outputs for all generating units which will minimize the total fuel cost while satisfying all practical constraints. Since optimum economic dispatch is not environmentally the best solution so it is required to reduce the pollution or emissions as well. Hence the classical economic dispatch problem is modified to economic-emission dispatch problem. Further, there are many inaccuracies and uncertainties in the input information which lead to deviations from optimal operation and cause an increase in the cost over the optimal value, therefore stochastic model is formed to solve the practical problem. Here, an attempt has been made to solve the stochastic economic-emission load dispatch problem using Modified Artificial Bee Colony Algorithm (MABC).Recently evolution search techniques are used to solve ELD problem. The technique used in this thesis is Modified Artificial Bee Colony Algorithm. There are number of applications of MABC. It has emerged as a useful tool for engineering optimization. In this paper, three and six unit test system has been considered for economic and emission dispatch. MABC search method is used to obtain the best optimal solution.