【摘要】 为降低电压暂降中故障电阻变化对可观测区域影响，实现监测点优化配置，本文提出一种用节点观测能力调控可观测区域，综合考虑监测装置数量、观测能力、冗余度等因素，实现监测点的多目标优化配置方法。首先通过电压暂降幅值公式计算出不同故障类型下节点电压，在此基础上建立模糊控制模型得到节点观测能力，用观测能力改进分段法来构建可观测矩阵。以全网电压暂降可观测为约束条件，监测装置数量、观测能力和冗余度为目标函数，采用非支配排序遗传算法（NSGA2）实现电压暂降监测点的多目标优化配置。通过在IEEE 30节点系统的仿真验证，与传统监测装置优化方法相比，本文方案在满足全网暂降可观的基础上，还保证了监测装置数量和观测能力的合理分配。更多还原

【Abstract】 For reducing the influence of fault resistance variation on the observable area and achieving optimal configuration of monitoring points during the voltage sag,a kind of multi-objective optimal configuration method of the monitoring point by using the controllable observation area of node observation ability and comprehensively considering such factors as the number of monitoring devices,observation capabilities as well as redundancy is proposed in this paper. First,the voltage sag amplitude formula is used to calculate the node voltage under different types of faults. On this basis,a fuzzy control model is set up to obtain the node observation ability,and the observation matrix is constructed by the observation ability improvement segmentation method. The observable voltage sag of the whole network is taken as the constraint condition,the number of monitoring devices,observation ability and redundancy as the objective function,the non-dominated sorting genetic algorithm(NSGA2)is used to achieve the multi-objective optimization configuration of voltage sag monitoring points. Through the simulation verification in the IEEE 30 node system,the solution in this paper,compared with the traditional monitoring device optimization method,not only satisfies the considerable sag of the entire network,but also ensures the reasonable allocation of the number of monitoring devices and observation capabilities.更多还原