考虑随机性的区域综合能源系统多目标日前优化调度方法

为了满足终端用户对电力、天然气以及热能等多类型用能需求，实现对区域范围内的配电系统、配气系统以及能量中心（energy center, EC）系统的多维度优化调度和能量管理，同时考虑新能源发电设备以及负荷等不确定性因素带来的影响，该文提出了一种考虑随机性的区域综合能源系统（integrated community energy system, ICES）多目标日前优化调度方法。首先，构建了ICES中配电系统、配气系统以及EC系统的数学模型；随后，基于机会约束法构建了多目标随机优化数学模型，以最小化运行成本和温室气体及污染气体排放量为目标函数，采用NSGA-II优化算法对多目标随机优化问题进行求解；最后，针对一个典型的ICES进行考虑随机性的多目标日前优化调度分析。结果表明所提方法能够为系统调度员提供一系列可选方案，优化结果合理反映了随机性条件下ICES的运行特性，能够满足多种能源系统的潮流约束，实现了ICES在随机性条件下的经济环保运行。

Multi-objective Day-ahead Optimal Scheduling Method for Integrated Community Energy System Considering the Stochastic Behaviors

In order to satisfy the energy demands for electricity, natural gas and heat, and realize multi-objective scheduling and management of electric distribution system, natural gas distribution system and energy center （EC） system, a multi-objective day-ahead optimal scheduling method for integrated community energy system （ICES） considering the stochastic behaviors is proposed in this paper. Firstly, the mathematical models of electric distribution system, natural gas distribution system and EC system are developed. Secondly, the multi-objective stochastic optimization model is developed based on the chance constrained programming. The operation cost and total emission are considered as the objective functions and the model is solved by the non-dominatied sorting genetic algorithm II （NSGA-II）. Finally, by applying the proposed method to a typical ICES, a series of alternative solutions are provided to the operator, which can not only consider the effects of stochastic behaviors, but also satisfy the constraints of multi-energy power flow and realize the economic and environmental-friendly operation of ICES.