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

With the deepening of China’s energy market reform and promotion integrated services, regional system becomes an important development direction supply system. In order to maximize economic efficiency reduce air pollutant emission system, distributed power generation module cooling-heat-power (CCHP) triple-supply are formed into a model, balance, equipment capacity environmental factors constrained with objective function minimizing daily operation cost as well emission. Based on mathematical framework model optimal control strategy, NSGA-II algorithm is used solve multi-objective programming obtain Pareto solution set, hourly output both benefits obtained. The results show that operating costs emissions district significantly reduced compared those without optimization, which effectively solves problems low serious pollution achieves benefits.