Multi-objective optimization of integrated energy system based on improved NSGA-II algorithm

Abstract

Compared with the traditional energy system structure, integrated energy system (IES) can optimize economy, environment, energy consumption and other goals by coupling and complementing various forms of energy. In this paper, in order to explore the multi-objective optimization method of integrated energy system, an integrated energy system including electricity, gas, heat and cold multi energy coupling will be established, and a multi-objective optimization model with the optimal energy purchase cost and carbon dioxide emission is proposed. By applying the improved NSGA-II method, the Pareto frontier of multi-objective optimization problem of integrated energy system can be effectively solved, which can improve the search efficiency by maintaining global Pareto optimal set. Finally, an example is given to verify the correctness and usefulness of the developed results.