Minor-cycle real-time generation schedule

Abstract

The invention provides a minor-cycle real-time generation schedule, which comprises the following steps of: S1, determining units participating in real-time generation schedule computing by two stages of dispatching centers; S2, judging whether the difference between a load predicted value Ps used by an intraday generation schedule in the next schedule time and an ultra-short-term load predicted value Ps' used by the intraday generation schedule in the next schedule time is equal to 0 or not, if the difference is equal to 0, executing the step S7, and if the difference is not equal to 0, executing the step S3; S3, respectively working out load deviation values deltaPs,A and deltaPs,B which need to be respectively borne by the units which respectively correspond to the two stages of dispatching centers in the next time; S4, performing statistics adjustable capacity sums deltaPC,A and deltaPC,B of the units which respectively correspond to the two stages of dispatching centers; S5, working out load deviation values deltaPLF,A and deltaPLF,B respectively and finally distributed by the two stages of dispatching centers; S6, working out the adjustment power of every unit of the two stages of dispatching centers; and S7, executing the step S1 after the real-time generation schedule of each unit is obtained. Only the predicted values in the next schedule time are used every time, so that the output of each unit more approaches to the requirement of an actual load.

Description

technical field [0001] The invention relates to the technical field of electric power system scheduling automation, in particular to a short-period real-time power generation plan. Background technique [0002] The power generation plan formulated by the power dispatching center is to make rational use of power generation resources, and on the basis of meeting the electricity demand of power users, ensure the balance of power generation and consumption as much as possible, maintain the stability of the grid frequency, reduce losses, and ensure the safe operation of the grid and reliable power supply. [0003] The accuracy of predicting the operating state of the power system is usually affected by the time period. The closer the prediction time point is to the current state, the better the actual state can be fully utilized, making the prediction more accurate. The medium and long-term power generation plan mainly focuses on the control of electricity. [0004] Short-term p...

AI Technical Summary

Problems solved by technology

Common real-time power generation planning usually uses multiple planning values ​​for the next few hours at a time. On the one hand, the automatic power generation control system can only use one planning value data at a time. On the other hand, the accuracy of short-term forecast values ​​after a few hours is not particularly high

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