Regression analysis of temporary over voltages during power system restoration

Power system restoration is the process of re-energization of power system elements after a partial or a complete blackout situation. The decision regarding the energization of network lines is complex and time consuming in nature. To reduce the above complexity in power system restoration, the present research work develops a decision (s) regarding the re-energization of transmission lines. Initially the complex network is divided into Islands to enhance the speed and efficiency in the restoration process. Data Envelopment Analysis (DEA) approach is applied to test the bus system for finding out the most weighted corridor in order to prioritize those for energization from a complete black out situation. Further, Temporary Over Voltages (TOV) that are occurring during transformer energization in low load condition is estimated using MATLAB/Simulink and Artificial Neural Networks (ANNs). Regression analysis on these TOVs is done in evaluating the performance of forecasting tool. The proposed methods are applied to a complex network to demonstrate the performance. It is found that the proposed techniques are better and efficient alternative approaches in Isolating, Selection of Transmission corridors and determining the over voltages respectively rather than any other techniques and helps the power system planners to have a faster strategy for power system restoration.