Adaptive unit commitment strategy for sudden load demand change

This paper presents an adaptive unit commitment strategy with load forecasting. In general, there is a close relation between load demand and temperature. If the forecasted temperature comes off, the error margin of the load demand grows. In order to improve prediction accuracy, we forecast the load demand again after actual load does not correspond to forecasted load and actual temperature varies much with forecasted temperature. Hence, we could improve prediction accuracy of load demand. We solve unit commitment problem again for improved forecasted load to modify the day production cost of unit commitment. The simulation result with consideration of sudden load demand change show the effectiveness of the proposed method