Multi-objective Optimal Scheduling of Power System Based on Non-dominated Sorting Genetic Algorithm

Abstract

With the rapid development of green energy, wind power has been applied more and more. In this paper, a multi-objective optimization model of a power system was established based on a non-dominant sorting genetic algorithm to solve the problem of system instability in wind power output, taking maximum wind power consumption and minimum power purchase cost as the objective function, and simulation verification is conducted. The results show that using this algorithm for model solving can get the corresponding Pareto optimal set of extreme solutions, verify the effectiveness of the algorithm, and achieve wind power consumption maximization, electricity purchase cost minimization, and better economic benefits.