Wind power forecast error-oriented demand response multi-time scale scheduling method

A wind power forecasting and multi-time scale technology, applied in forecasting, data processing applications, instruments, etc., can solve the problems of short response time scale and high scheduling cost

Active Publication Date: 2017-09-22
CHONGQING UNIV
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  • Abstract
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AI Technical Summary

Problems solved by technology

Incentive-based demand response (IDR) has better scheduling characteristics, stronger timeliness, shorter response time scale, but higher scheduling cost

Method used

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  • Wind power forecast error-oriented demand response multi-time scale scheduling method
  • Wind power forecast error-oriented demand response multi-time scale scheduling method
  • Wind power forecast error-oriented demand response multi-time scale scheduling method

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Embodiment Construction

[0085] The present invention will be described in further detail below in conjunction with the drawings of the specification.

[0086] See the overall scheduling process of the present invention Image 6 . First, the real-time electricity price of the next day is formulated according to the forecasted wind power power and load forecast values, and then the electricity plan data formulated by the PDR users according to the electricity price is collected and the unit's operation plan for the next day is formulated; within the day, the wind power output is predicted H hours in advance, according to A new real-time electricity price is formed. PDR can voluntarily choose whether to respond to dispatch based on the new electricity price, and adjust the daily electricity consumption plan. The grid collects the PDR electricity consumption plan through the data collection system again; finally, real-time wind power forecasting is carried out. If it is not 0, perform IDR and regular unit s...

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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 dispatching method for a power system containing wind power, which specifically refers to performing price-type demand response and incentive-type demand response dispatch for wind power prediction errors of different time scales to improve the system's wind power absorption capacity, and belongs to the technical field of power dispatching. Background technique [0002] With the development of the economy, energy problems have 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 scheduling flexibility of conventional units, the system abandons a relatively high amount of air. Demand response (DR) refers to when the electricity wholesale market price rises or system reliability is threatened, after the electricity user receives the dir...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06
Inventor 李春燕张谦付志红张淮清张鹏王东
Owner CHONGQING UNIV
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