A Demand Response Multi-Time Scale Scheduling Method for Wind Power Forecast Error

Abstract

The invention discloses a wind power forecast error-oriented demand response multi-time scale scheduling method. The method comprises the following steps of: firstly setting a real-time electricity price of the next day according to a wind power forecasted value and a load forecasted value of the current day, acquiring electricity utilization data set by a PDR user according to the electricity price, and making an operation plan of a unit in the next day by the PDR user; in the current day, forecasting wind power output H hours early, forming a new real-time electricity price according to a formula (as shown in the specification), freely selecting, by the PDR user, whether to respond scheduling according to the new electricity price to adjust the electricity utilization plan in the day, and recollecting a PDR electricity utilization plan by a power grid through a data acquisition system; and finally carrying out real-time wind power forecast, if the formula (as shown in the specification) is not 0, carrying out IDR and conventional unit scheduling, and when constraints are not satisfied, selecting to put into standby application (the load cannot be satisfied) or abandon the wind (the system electricity is surplus). The method is capable of effectively carrying out scheduling balance on different-time scale wind power forecast errors by utilizing different types of demand response characteristics.

Description

technical field [0001] The invention relates to a demand response scheduling method for an electric power system including wind power, specifically refers to performing price-type demand response and incentive-type demand response scheduling on wind power prediction errors in different time scales to improve the wind power consumption capacity of the system, and belongs to the technical field of power dispatching. Background technique [0002] With the development of the economy, the energy problem has become increasingly prominent. As one of the ways to alleviate the energy crisis, clean energy such as wind energy has become an effective measure to reduce traditional energy consumption in the power industry. However, due to the poor flexibility of conventional unit scheduling, the system has a high abandoned air volume. Demand response (DR) refers to that when the wholesale electricity market price rises or system reliability is threatened, power users change their power a...

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