Energy storage peaking control method based on dual-time scale net load prediction

A technology of time scale and control method, which is applied in load forecasting, energy storage, and AC network load balancing in AC networks, and can solve problems such as aggravating system peak regulation pressure, difficulty in absorbing wind power resources, and wind curtailment

Active Publication Date: 2019-10-08
SHENYANG POLYTECHNIC UNIV
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Problems solved by technology

[0002]In recent years, the demand-side power peak-to-valley difference has been expanding year by year, and the large-scale grid-connection of wind power with intermittent, random and anti-peak-shaving characteristics has aggravate

Method used

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  • Energy storage peaking control method based on dual-time scale net load prediction
  • Energy storage peaking control method based on dual-time scale net load prediction
  • Energy storage peaking control method based on dual-time scale net load prediction

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Embodiment Construction

[0081] The present invention will be further described in detail below in conjunction with the accompanying drawings and examples. The following examples are explanations of the present invention and the present invention is not limited to the following examples.

[0082] Such as figure 1 As shown, first in the day-ahead stage, the day-ahead net load forecast value is calculated according to the forecast load and wind power Neglecting the transmission loss on the line, the net load calculation formula is:

[0083]

[0084] in, is the day-ahead load power prediction value; is the predicted value of wind power for the day ahead.

[0085] Net load power obtained based on day-ahead forecast The power flow of the energy storage is optimized with the goal of keeping the power of the tie-line adjusted by the energy storage as low as possible. That is, during the net load trough period, the energy storage absorbs excess energy from the grid to reduce the depth of the therm...

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Abstract

The invention discloses an energy storage peaking control method based on dual-time scale net load prediction. The method comprises the following steps: 1, based on a day-ahead net load prediction result, the SOC sequence of the energy storage system and the post-peaking tie line power are obtained through objective function optimization, and energy storage energy flow optimization is completed; 2, the post-peaking tie line power obtained in the first step is expanded to a tie power interval; and 3, based on the intraday rolling prediction net load power with the accuracy higher than the day-ahead prediction accuracy and the SOC sequence obtained in the first step, the actual charge/discharge power of the energy storage system is corrected in the tie line power interval in the second stepto complete energy storage peaking control. Compared with day-ahead net load prediction, ultra-short-term rolling prediction provides a more accurate reference for setting of the charge and dischargepower for energy storage, the fast energy storage and flexible throughput capabilities are fully utilized, the post-peaking tie line power is smoother, and the peaking pressure is alleviated.

Description

technical field [0001] The invention relates to a prediction-based energy storage peak-shaving control method, in particular to an energy storage peak-shaving control method based on dual-time scale net load prediction. Background technique [0002] In recent years, the power peak-to-valley difference on the demand side has been increasing year by year. The large-scale grid-connection of wind power with intermittent, random and anti-peak-shaving characteristics has intensified the peak-shaving pressure of the system. Due to the lack of flexible peak-shaving resources, it is difficult for the traditional power grid to accommodate large areas. Grid-connected wind power resources lead to serious wind curtailment. In order to ensure the safe and reliable operation of the power grid while fully absorbing wind power resources, large-scale energy storage power stations that can achieve fast and flexible power throughput have been prepared to be used as peak-shaving resources in man...

Claims

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Application Information

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IPC IPC(8): H02J3/48H02J3/32
CPCH02J3/48H02J3/32H02J3/003Y02E70/30
Inventor 王晓东张一龙刘颖明
Owner SHENYANG POLYTECHNIC UNIV
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