An Improved NSGA-III Algorithm for Optimal Power Dispatch with Power Flow Constraints

Optimal power dispatching for power systems is a non-linear, non-convex and non-smooth optimization problem with multiple competing objective functions and non-linear constraints. In this paper, an improved NSGA-III algorithm is proposed to solve the power optimisation scheduling problem for power systems. The algorithm utilizes a differential evolutionary selection variation strategy to enhance convergence and diversity. In addition, a hybrid multi-constraint processing mechanism is proposed to enhance the exploration capability. The results of the method on an IEEE 30-bus system are compared with other operators. The simulation results show the superiority and feasibility of the improved NSGA-III algorithm in solving the power optimization scheduling problem for power systems.