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为了预防电压崩溃,需要监视电压稳定弱节点的临界状态。该临界状态通常由潮流方程计算,但对于高维电力系统,这种方法计算速度较慢,难以满足在线电压稳定监视的要求。为减少计算时间,应用快速且可靠的方法非常重要。提出一种基于支持向量机的电压稳定弱节点在线监视方法,该方法充分发挥支持向量机在解决高维、非线性和有限样本问题方面体现出的优势,保证了电压稳定监视模型的泛化能力,具有较快的计算速度和较高的预测精度。在wSCC 9节点测试系统中的应用结果表明了该方法的有效性。
In order to prevent voltage collapse, it is necessary to monitor the critical state of the voltage stabilization weak node. This critical state is usually calculated by power flow equations, but this method is computationally slow and difficult to meet the requirements of online voltage stability monitoring for high-dimensional power systems. To reduce calculation time, it is important to apply a fast and reliable method. A method of on-line monitoring of voltage-stabilized weak nodes based on support vector machines is proposed. This method gives full play to advantages of support vector machines in solving high-dimensional, nonlinear and finite sample problems, and ensures the generalization ability of the voltage stability monitoring model , With faster calculation speed and higher prediction accuracy. The application results in the wSCC 9-node test system demonstrate the effectiveness of this method.