Dynamic available transfer capability determination in power system restructuring environment using support vector regression

This paper presents dynamic available transfer capability (DATC) determination in power system restructuring environment using support vector regression (SVR). Dynamic available transfer capability is first determined based on the conventional method of potential energy boundary surface transient energy function. Simulations were carried out on a WSCC 3-machine 9-bus system and a Practical South Indian Grid test system by considering load increases as the contingency. The data collected from the conventional method is then used as an input training sample to the SVR in determining DATC. To reduce training time and improve accuracy of the SVR, the kernel function type and kernel parameter are considered. The proposed SVR based method, its performance is validated by comparing with the multilayer perceptron neural network (MLPNN). Studies show that the SVR gives faster and more accurate results for DATC determination compared with MLPNN. 2015 Elsevier Ltd. All rights reserved.