Application of Multi-objective memetic algorithms and imperialist competitive to solve optimization problem of economic dispatch in power systems with emphasis on reducing emissions

In this paper, according to meta-heuristic algorithms, Multi-objective imperialist competitive algorithms and memetic algorithm with power of searching and to solve the optimization problems, was proposed. Also, economic dispatch problem is the generalization of the problem of statistical burden transfer in power networks, which emphasizes the evaluation of issues related to the implementation of several soft-computing methods. The issue of economic dispatch was solved in order to minimize pollutants and as well as to achieve minimum total cost and losses. The simulation results show that the Multi-objective memetic algorithm provides a satisfactory answer in the shortest possible time than other Multi-objective imperialist competitive algorithms.

کلیدواژه ها:

competitive algorithm ، economic dispatch ، Multi-objective optimization ، lowest cost