LOOK-AHEAD VOLTAGE AND LOAD MARGIN CONTINGENCY SELECTION FUNCTIONS FOR LARGE-SCALE POWER-SYSTEMS

Given the current operating condition (obtained from the real-time dat a), the near-term load demand at each bus (obtained from short-term lo ad forecast), and the generation dispatch (say, based on economic disp atch), we present in this paper a load margin measure (MW and/or MVAR) to assess the system's ability to withstand the forecasted load and g eneration variations. We also present a method to predict near-term sy stem voltage profiles. The proposed look-ahead measure and the propose d voltage prediction are then applied to contingency selections for th e near-term power system in terms of load margins to collapse and of t he bus voltage magnitudes. We evaluate the proposed load-ahead measure and the voltage profile prediction on several power systems including a 1169-bus power system with 53 contingencies with promising results.