Wind power accommodation considering the prediction error of wind power

Abstract

Wind power forecast error has been considered to be the factor that increases the difficulty of power system dispatch, decreases the economy of system operation, and affects the wind power accommodation. A multiple time scales dispatch model of wind power integrated system is built considering the wind power forecast error and demand response. The price-based demand response (PDR) is used in the initial dispatch because of the large day-ahead forecast error. In the day, the price-based demand response is dispatched again to take advantage of its low cost. According to the strong timeliness of the incentive-based demand response (IDR), it is used in real-time dispatch to decrease the influence of wind power forecast error on the system dispatch and wind power accommodation. Study case shows that the multiple time scales optimal dispatch can increase wind power accommodations, save system operating costs, ensure the autonomy of consumers and reduce the impact of demand response.