Ubicación óptima de dispositivos SVC considerando el indicador de estabilidad de tensión lineal (LVSI) para mejorar el margen de estabilidad de tensión en sistemas de transmisión

Abstract

This study presents a procedure for the placement of SVC compensators in the SEP using the fuzzy c-Means clustering technique. For which, we start with the quantification of the OPF to obtain the sensitivity array of the system based on the Jacobian of the system. Then, the attenuation and electrical distance matrices are estimated. With which, the fuzzy c-Means clustering algorithm is used with the initial estimated cluster identification criterion. In this way, the voltage control areas (VCA) are obtained. On the other hand, for the ideal arrangement of the compensators, the criterion of minimization of the installation costs of the SVCs together with the linear voltage stability index (LVSI) is used. Which is applied to each SVC created. The described technique is applied to the 14-node and 30-node scheme to check its effectiveness. Also, the results obtained are compared with the Power Factory software and similar studies. Finally, the proposed technique proves to be effective for the creation of LCAs and the optimal arrangement of SVC equipment.