Multi-objective and multi-district transmission planning based on NSGA-II and cooperative co-evolutionary algorithm

Fast non-dominated sorting genetic algorithm (NSGA-II), a new multi-objective genetic algorithm, is applied to transmission planning for the first time. Simulation results illustrate that NSGA-II has better convergence and flexibility and provides an effective tool for measure the performance of different objective functions. For large scale and multi-area transmission systems planning, the cooperative co-evolutionary algorithm combined with NSGA-II is adopted to overcome some disadvantages of GA such as premature convergence. Sub-system which is optimized by NSGA-II coevolves with other sub-systems. A practical system planning shows it can give satisfy results for such problems.