用于静态稳定预防控制的新灵敏度分析法

在研究多重复杂故障对于系统静态非线性影响的连续潮流模型和工具的基础上，提出了一种新的用于电力系统静态稳定预防控制的灵敏度分析方法。一些严重的多重复杂故障会造成电力系统立即失去静态稳定。这些失稳故障都有一个对应于故障参数空间的虚拟的静态稳定临界点。文中提出了一种新的评价失稳故障严重程度的故障失稳裕度指标，并提出了基于这一指标的灵敏度分析方法，给出了各种控制对于故障参数的灵敏度。同时给出了一种基于控制灵敏度和控制类型优先级的预防控制策略。通过一个3000节点的实际系统的计算表明，文中所提出的灵敏度方法是有效的，适合于大型实际系统的静态稳定预防控制。

A NEW SENSITIVITY METHOD FOR STATIC STABILITY PREVENTIVE CONTROL

Based on a contingency parameterization continuation power flow tool for investigating the nonlinear effects of the multiple contingency parameter variation, a new sensitivity analysis method for static stability preventive control in power system is proposed. Severe multiple compound contingencies can result in the immediate instability in a real power system. There is a virtual static stability critical point corresponding to each insecure contingency in the contingency parameter space. A new index called contingency unstable margin is proposed for evaluating the severity of the insecure contingencies. Based on this index, a new sensitivity method is proposed and the linear sensitivities of the contingency unstable margin with respect to any control variables are given. A control strategy based on the sensitivities and the control type priority for preventing the unstable multiple compound contingencies is also proposed. Case studies with a practical 3 000-bus power system indicate that the proposed methods are effective and suitable for preventive control in a large-scale power system.