A Method of Active Power Control and Fine Command Distribution for Uncertain Power Sources

Abstract

The present invention relates to an active power control and fine instruction distribution method of an uncertain power supply, comprising the following steps: Step 1, collecting historical active power data and drawing a historical active power curve; Step 2, establishing a combined prediction based on historical active power data Model; step 3, finite time-domain rolling optimization: establish a multi-objective optimization function; step 4, forecast error feedback, use the error correction value to correct the predicted value at the next moment; step 5, finely allocate active commands. In the present invention, by incorporating links such as power prediction, rolling optimization, and feedback correction into uncertain power source active power control and fine command distribution, not only can the prediction accuracy be improved, but also power control deviation can be reduced.

Description

technical field [0001] The invention relates to the technical field of power system operation scheduling, in particular to a method for active power control and fine instruction distribution of an uncertain power supply. Background technique [0002] In the future power system, with the increasing proportion of renewable energy, the uncertainty of power supply will also increase. [0003] In terms of optimal scheduling of active power of uncertain power sources, the volatility of uncertain power sources increases the difficulty of power grid peak regulation. For the safe and reliable operation of power grids, more thermal power units are often required to participate in peak regulation, and the cost of uncertain power sources is high. It also increases accordingly, reducing the economy of system operation. Moreover, most of the uncertain power sources currently do not participate in power grid frequency regulation, and the grid frequency adjustment must be shared by convent...

AI Technical Summary

Problems solved by technology

[0005] In terms of optimal distribution of active power of uncertain power sources, the active power distribution strategy of traditional power sources mostly relies on human factors, lacks scientific and reasonable criteria for the control capability of uncertain power sources, lacks coordinated control among uncertain power sources, and the distribution of active power commands is not accurate. Balanced, resulting in partial power supply instructions not up to standard, etc., which intensifies the fluctuation of the overall power supply

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