考虑源-荷不确定性的微能源网日前鲁棒优化调度

Day-ahead robust optimal dispatch of micro-energy networks considering source-load uncertainty

微能源网集成园区/社区的分布式能量系统、多元荷载及控制装置,能够实现多能源联产联供功能,有利于提升各类能源网络运行灵活性和经济性。为有效应对微能源网内部负荷和新能源出力的不确定性,首先建立多面体不确定集刻画负荷和光伏出力波动情况,构建描述微能源网网络拓扑和能流耦合关系的能源集线器(energy hub,EH)耦合矩阵。然后,以最小化系统运行成本为目标建立微能源网在并网和孤岛运行模式下的两阶段鲁棒优化经济调度模型,并运用线性决策规则(linear decision rule,LDR)和对偶理论制定模型求解策略。最后,基于IEEE 33节点配电网改进设计的微能源网进行算例验证分析。结果表明,LDR能够在一定精度范围内通过线性仿射函数有效近似刻画决策变量和不确定变量间的关系,降低两阶段鲁棒优化经济调度模型的求解难度。

Micro-energy networks integrate distributed energy systems,multiple loads and control devices in parks or communities.Micro-energy networks are capable of realizing multi-energy cogeneration and co-supply functions,which are conducive to enhancing the operational flexibility and economy of multi-energy networks.To effectively cope with the uncertainty of load and new energy output within the micro-energy networks,a polyhedral uncertainty set is established to portray the fluctuation of load and photovoltaic output.An energy hub(EH)coupling matrix describing the topology of micro-energy networks and the coupling relationship between the energy flows is constructed.Then,a two-stage robust optimization economic dispatch model is established for micro-energy networks in both grid-connected and islanded operation modes to minimize the system operation cost.Linear decision rule(LDR)and duality theory are used to develop model-solving strategy.Finally,a case is carried out using micro-energy networks based on improved IEEE 33-node distribution network.The results show that LDR can effectively approximate the relationship between decision variables and uncertain variables through linear affine function within a certain accuracy range,which reduces the difficulty of solving the two-stage robust optimization economic dispatch model.