Self-adaptive evolutionary programming and its application to multi-objective optimal load flow. Part Two: Self-adaptive evolutionary programming solution of multi-objective optimal load flow

Multi-objective optimal load flow is an extremely complicated non-linear planning problem. The paper presents a new algorithm for the solution of multi-objective optimal load flow problem. Some related technical problems, such as optimized model, genetic operation etc. are investigated. The proposed method is applied to an IEEE-30 bus system. The numerical results of the simulation demonstrate that this method can bring about some good results on dealing with constraints flexibly, reducing the computational requirements and preventing the search from being in local optimum or converging with difficulty near the global optimum.