In this paper, a new multiobjective evolutionary algorithm for steady state security and economic power dispatch (SED) optimization problem with valve-point effects is presented. The two EP techniques considered here differ in the kind of mutation they use: Cauchy and exponential mutation. The SED problem is formulated as a nonlinear constrained multiobjective optimization problem with both equality and inequality constraints. Several optimization runs of the proposed approach is carried out on the standard IEEE 30-bus test system. The results demonstrate the capabilities of the proposed approach to generate true and well-distributed Pareto-optimal nondominated solutions of the multiobjective SED problem. The investigation reveals that, the proposed algorithm is computationally faster, relatively simple, reliable and efficient.
Security and economic dispatch, Evolutionary algorithms, Multiobjective optimization
