Short-term wind power forecast for economic dispatch

Abstract

Integration of wind power generation with existing power systems requires accurate forecasting of wind power due to its intermittent nature. Accurate wind power forecast can help system operators to include wind power in economic dispatch and unit commitment problems. In this paper, a simple window-based, adaptive-parameter regression model for short-term wind power forecasting that can be used in system operation is developed. In order to assess the accuracy of the forecasted wind power, the output of the prediction is used to solve the economic dispatch problem using a genetic algorithm (GA) technique.