多重不确定性环境下的综合能源系统区间多目标优化调度

Interval Multi-objective Optimal Dispatch of Integrated Energy System Under Multiple Uncertainty Environment

为解决综合能源系统中不确定性对调度计划的影响,提出多重不确定性环境下的综合能源系统区间多目标优化调度方法。首先,采取区间数学的方法对系统中存在的耦合机组效率、用户响应率及电能替代等多重不确定性因素进行统筹描述;其次,计及能源在生产转换过程中的品质差异、兼顾能源优质利用与系统运行经济性,以能源利用?效率最高和系统运行成本最低为目标优化系统运行;最后,基于区间多目标线性规划方法,建立多重不确定性环境下的综合能源系统区间多目标优化调度模型。算例结果表明,所提多目标优化调度模型能够兼顾系统运行经济性与能源利用?效率,有效提高系统应对多重不确定性的能力。

In order to solve the influence of the uncertainty in the integrated energy system on the dispatch plan, a interval multi-objective optimization dispatch method of the integrated energy system under multiple uncertain factors is proposed. Firstly, interval mathematics is used to describe the multiple uncertain factors in the system, such as the efficiency of the multi-energy coupling unit, demand response, and electricity substitution;secondly, considering the efficient use of energy, the economics of system operation and difference in energy quality, optimize the operation of the system with the goal of the lowest system operating cost and the highest exergy efficiency;finally, based on the interval multi-objective linear programming method, an interval multi-objective optimization scheduling model of the integrated energy system under multiple uncertain factors is established. Case analysis shows that the proposed multi-objective optimization scheduling model can take the economics of system operation and exergy efficiency into account, and effectively improve the system’s ability to deal with multiple uncertainties.