Optimal Economic Dispatch for Power Generation Using Genetic Algorithm

Abstract: In this paper, an efficient and practical real- coded genetic algorithm (GA) has been proposed for solving the economic dispatch problem. The objective is to minimize the total generation fuel cost and keep the power flows within the security limits. For each problem of optimization in genetic algorithm (GA) there are a large number of possible encodings. The use of real valued representation in the GA has a number of advantages in numerical function optimization over binar y encoding. The efficiency of the GA is increased as there is no need to convert chromosomes to the binary type, less memory is required, there is no loss in precision by discret to binary or other values, and there is greater freedom to use different genetic operators. The proposed technique improves the quality of the solution and speeds of convergence of the algorithm. The Coding are written and executed the values are plotted in graph for different values of MW loading.

Keywords: Economic dispatch(ED), multi-objective optimization, Genetic algorithm (GA), Unit Commitment (UC).