Improving Voltage Stability Margin Using Voltage Profile and Sensitivity Analysis by Neural Network

This paper presents a new approach for estimating and improving voltage stability margin from phase and magnitude profiles of bus voltages using sensitivity analysis of voltage stability assessment neural network (vsann). bus voltage profile contains useful information about system stability margin including the effect of load- generation pattern, line outage and reactive power compensation, so it is adopted as input pattern of vsann. in fact, vsann establishes a functionality for vsm with respect to voltage profile. sensitivity analysis of vsm with respect to voltage profile and reactive power compensation extracted from information stored in the weighting factor of vsann is the most dominant feature of the proposed approach. sensitivity of vsm helps one to select the most effective buses for reactive power compensation aimed enhancing vsm. the proposed approach has been applied to ieee 39-bus test system which demonstrated applicability of the proposed approach.