考虑源荷互动的综合能源系统多目标双层规划

Multi-objective Bi-level Planning for Integrated Energy Systems Considering Source-load Interaction

随着综合能源系统建设的不断推进,传统的“源随荷动”模式转向“源荷互动”已成为发展趋势。为此,提出了一种考虑源荷互动的综合能源系统多目标双层规划方法。首先,引入电–热–冷可中断负荷和可转移负荷参与综合需求响应,并制定了一种基于新能源发电与等效负荷相匹配的动态定价策略。然后,构建了含电动汽车充电站的综合能源系统多目标双层规划与运行模型,在上层规划模型中以经济成本、碳排放量、自主性为目标,在下层模型中以综合能源系统和电动汽车充电站的总运行成本最小为目标。最后,利用非支配排序遗传算法(non-dominated sorting genetic algorithm Ⅱ,NSGA-Ⅱ)算法和商业求解器CPLEX求解获得Pareto前沿解集,并利用Topsis法选择最优解。算例表明,该方法可以有效降低经济性成本、减少碳排放量、提高系统自主性。

With the continuous development of the integrated energy systems,the traditional source-following-load model has changed its developig trend to the source-load interaction model.Therefore,a multi-objective bi-level planning approach for the integrated energy systems considering the source-load interactions is proposed.First,the interruptible and transferable loads of electricity,heating and cooling are introduced to participate in the integrated demand response.A dynamic pricing strategy is developed to match the renewable generation with the equivalent load.Then,a multi-objective bi-level planning and operation model of an integrated energy system containing the electric vehicle charging stations is established.The economic cost,the carbon emissions,and the autonomy of the system are taken as the objectives at the upper level of the planning model.The lower level model minimizes the total operating cost of the integrated energy system and the electric vehicle charging station.Finally,the non-dominated sorting genetic algorithm II(NSGA-II)and the commercial solver CPLEX are used to obtain the Pareto frontier solution set,and the optimal solution is selected by using the Topsis method.The numerical studies indicate that the approach is able to reduce the economic costs and the carbon emissions,and improve the system autonomy.