Environmental Economic Dispatch Optimization using a Modified Genetic Algorithm

This paper aims to develop a new Genetic Algorithm based approach to solve the Combined Environmental Economic Power Dispatch Problem. The essential features of our proposed algorithm include a diploid based complex-encoding with meiosis specific attributes and new mutation operators that performs global search during the initial generations and local search in the later generations. Using the parallel searching mechanism and the new defined mutation operators, the local searching ability of the algorithm is improved, as well as the algorithm's efficiency. Results of comparative tests on a sample power system are presented, showing the better computation efficiency and convergence property of the proposed methodology.