Stochastic Price-Based Unit Commitment in Wind Power Generating Company

摘要

In this paper, we propose a stochastic mixed-integer programming model to obtain the best day-ahead dispatch strategy for a generating company (GENCO) with wind and storage units. The strategy development is based on the formulized price-based unit commitment (PBUC) problem, which considers the volatility of wind speed and electricity price. The model is then solved through an integration of Monte Carlo simulation and genetic algorithm approach. In addition, a scenario analysis is applied to investigate the impact of wind speed and electricity price forecasting on the optimized unit commitment. Our preliminary results show that the accuracy of wind speed and electricity price forecasting can greatly affect the optimal unit commitment and dispatch and the profit of generation companies.