基于非支配排序遗传算法-Ⅲ的工业园区综合能源系统多目标优化调度

Multi-objective optimal dispatching of industrial park integrated energy systems based on NSGA-Ⅲ

为发挥综合能源系统多能高效协同优势,提出工业园区综合能源系统优化调度模型。首先建立工业园区综合能源系统机理模型。其次,构建了包含经济、环保和可再生能源占比的工业园区综合能源系统多目标优化评价体系,并以此为基础建立多目标优化调度的混合整数线性规划模型。最后,本文采用更具收敛性的非支配排序遗传算法-Ⅲ(NSGA-Ⅲ)对该模型进行求解,得到各能源设备最优运行策略的帕累托前沿。采用本文方法对某工业园区实际案例进行试验分析表明,多能互补优化可以在提高经济性和环保性的前提下满足生产用能需求,且其实时优化调度的鲁棒性较好。

In order to take the advantages of multi energy and high efficiency cooperation of integrated energy system,an optimal scheduling model for industrial park integrated energy system was proposed.Firstly,the mechanism model of the industrial park integrated energy system is established.Secondly,a multi-objective optimization evaluation system for the industrial park integrated energy system is constructed,which includes economy,environmental protection,and renewable energy proportion.On this basis,a mixed-integer linear programming model for multi-objective optimization dispatching is established.Finally,the non-dominated sorting genetic algorithm-Ⅲ(NSGA-Ⅲ)with better astringency is adopted to solve the model,and the Pareto front of the optimal operation strategy of each energy equipment is obtained.Moreover,the proposed real-time optimal scheduling model is adopted to the actual operation data of an industrial park,and the results show that,on the premise of improving economic and environmental benefits,the multi-energy complementary optimization can meet the energy demand for production,and the real-time robustness of the proposed model is well.