综合能源园区供能优化配置是实践现代能源体系建设、实现能源高效清洁利用的重要技术手段,然而现有规划配置方法存在多能耦合转换模型各异、忽视建设时序性与缺乏多维目标选优上的不足.为此,该文建立综合能源系统多目标多阶段供能优化配置模型,该模型为一个多目标混合整数线性优化问题.为实现多目标问题的高效求解,提出了基于鲁棒增广 e 约束法(robust augmented e-constraint method,AUGMECON-R)的Pareto解集求解方法,并结合综合权重与逼近理想解排序法(technique for order preference by similarity to ideal solution,TOPSIS),选取最契合园区多维评价偏好的建设方案.通过算例仿真验证了所提模型和算法的有效性,该模型能适用于各地各类型园区的供能优化配置决策.
Multi-objective and Multi-stage Energy Supply Configuration Method for Integrated Energy System Based on AUGMECON-R
The energy supply configuration of an integrated energy park is a necessary technical means to practice constructing a modern energy system and achieving energy efficiency and clean utilization of energy.However,the existing planning and allocation methods have shortcomings,such as disunity of the multi-energy coupling conversion model,neglect of construction timing,and lack of multi-dimensional target selection.Therefore,the multi-objective and multi-stage energy supply configuration model for an integrated energy system,a multi-target mixed integer linear programming,is established.The solution method of Pareto sets based on AUGMECON-R is proposed to achieve an efficient solution to the multi-target problem.Combined with the comprehensive weight and TOPSIS method,the configuration plan that fits most of the park's multi-dimensional evaluation preferences can be selected.The simulation of the example verifies the effectiveness of the model and algorithm.This model can be applied to the decision-making of energy supply Configuration in various types of parks.
integrated energy system planningmulti-dimensional targetmulti-stage modelAUGMECON-R method
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