Multi-time-scale power system robustness scheduling system design method

Abstract

The invention relates to a multi-time-scale power system robustness scheduling system design method. The method includes: dividing a scheduling frame into three time scales: a day-ahead plan, a within-day rolling plan, and a real-time plan, and building a scheduling system; drawing the day-ahead plan based on next-day load prediction data and short-term prediction data of new energy on the basis of a known set initial state, a tie-line exchange plan, and the switch state of the day; drawing the within-day rolling plan based on ultra-short-term load prediction and ultra-short-term new energy power prediction with higher prediction precision on the basis of the day-ahead plan; and drawing the real-time plan based on the within-day rolling scheduling, and further correcting deviation of the scheduling plan and a predicted result. The method is advantageous in that the scheduling mode with multiple time scales is employed to gradually reduce the impact on the power grid by the uncertainty of the new energy, the robustness scheduling mode is employed in the day-ahead plan and the within-day rolling plan, and the robustness of the scheduling scheme is high.

Description

technical field [0001] The invention relates to the technical field of power system active power dispatching, in particular to a design method for a multi-time scale power system robust dispatching system. Background technique [0002] Due to the intermittency and randomness of new energy, the grid-connection of large-scale new energy brings new technical difficulties to power grid dispatching, and the traditional dispatching method is facing great challenges. [0003] In terms of time scale, the traditional scheduling strategy adopts a scheduling method that directly combines day-ahead planning with automatic generation control (AGC). The day-ahead plan is based on the short-term power prediction with low accuracy. Therefore, if the unit output of the next day is arranged according to the day-ahead plan, there will be a large power deficit, which will be fully borne by the AGC unit. When the penetration rate of new energy is high, the AGC adjustment capacity is prone to be...

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Problems solved by technology

These two articles establish a robust dispatching model with different entry points. When the number of wind farms increases, the complexity of the model will rise sharply, which is not conducive to engineering applications.

[0005] The article [Ye Rong, Chen Haoyong, Wang Gang, etc. Mixed integer programming solution of safety-constrained unit combinations when multiple wind farms are connected to the grid [J]. Electric Power System Automation. 2010,34(5):1-6] proposed a method based on The robust scheduling method of the extreme scenario method, which solves the problem that the complexity of the model increases sharply when the number of wind farms increases, but this article only involves the problem of coordinated scheduling of wind and fire, and the energy structure is relatively simple

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