Solving dynamic economic dispatch problems using cellular differential evolution

This paper proposes cellular differential evolution (cDE) algorithm for solving dynamic economic dispatch (DED) problems with valve-point effects. DEDs are high dimensional optimization problems with many equality and inequality constraints. The problem of premature convergence in solving high dimensional optimization problems using evolutionary algorithms (EAs) could be fought using population structuring. This work investigates the suitability a structured DE algorithm, called cDE, in solving these large dimensional optimization tasks. The suitability and effectiveness of the proposed algorithm is validated using two test systems consisting of 10 and 13 thermal units respectively. Numerical results clearly show that the proposed method outperforms existing methods in terms of solution quality and robustness.