Deep Neural Network and Social Ski-Driver Optimization Algorithm for Power System Restoration with VSC - HVDC Technology
Jan Bhasha Shaik and Ganesh V
Abstract
VSC-HVDC has to turn out to be a novel development for attaining a competent and consistent bulk power transmission. In the VSC-HVDC link, the main confronts is the "soft start-up" otherwise the power system restoration subsequent to the black-out system, against minimum response delay and over voltage. In this work, VSC-HVDC connection with Social Ski Driver algorithm--trained Deep Neural Network (DNN), called as DNN-Social ski-Driver (SSD) algorithm, and it is proposed to reinstate the power rapidly. The experimentation is done in the system by producing blackout during the development of a three-phase fault. The evaluation performance is done in the VSC-HVDC with DNN-SSD in the conventional PI controller. The experimentation outcomes endow with more rapidly independent and restoration control for the reactive and real powers. The proposed algorithm reduces the over voltage while comparing it with the conventional algorithms.