一种基于连续线性规划的静态稳定预防控制方法

A Static Stability Preventive Control Approach Based on Successive Linear Programming

针对故障后不存在静态稳定平衡点的严重失稳故障,提出了一种静态稳定预防控制算法。该方法基于连续线性规划技术,将预防控制问题分解为故障参数空间上虚拟稳定临界点及其控制灵敏度的计算子问题和基于灵敏度的线性规划控制子问题。在前一个子问题中,运用故障连续潮流工具分别计算得到每个失稳故障的虚拟稳定临界点;在后一个子问题中,采用了筛选参与控制集和限制可控区间等策略来提高线性规划问题计算的有效性。对国外一个3000节点的实际系统的应用表明了所提出的算法是有效、实用的。

In order to handle those severe instable contingencies for which there are no post-fault equilibrium points, a static stability preventive control approach is proposed. The preventive control problem is decomposed into two subproblems. One is to calculate the bifurcation point in contingency parameter space and the corresponding sensitivities. The other is to solve the sensitivity-based linear programming problem. In the previous one, a contingency-parameterized continuation power flow tool is used to obtain the bifurcation point of each instable contingency. In the latter one, several heuristic strategies are used to improve the computation efficiency of the optimization problem. Case studies on a practical 3 000-bus power system indicate that the proposed methods are effective and suitable for large scale systems.