Two-stage monthly transaction security check method based on extreme scene

Abstract

The invention discloses a two-stage monthly transaction security check method based on an extreme scene. According to the method, the maximum power generation capacity of each power plant is checked and quantitatively calculated based on an extreme prediction scene before clearing and serves as the boundary of market transaction of the power plants, and it is guaranteed that a transaction result does not exceed the range of the extreme prediction scene, and after clearing, power plant transaction electric quantity execution conditions in different scenes are checked based on the multiple prediction scenes, and a check result is quantized through expected execution electric quantity deviation and execution electric quantity standard exceeding scenes. According to the method, the control capability of uncertainty of new energy and load prediction can be improved, and a transaction result is prevented from exceeding an actual execution capability range.

Description

technical field [0001] The invention relates to the technical field of power system scheduling operation, in particular to a two-stage monthly transaction security check method based on extreme scenarios. Background technique [0002] Monthly transaction security check is an important dispatching operation technical issue in the current power market operation. Its content is to check the feasibility of monthly transaction electricity of power generation enterprises in accordance with the relevant requirements of clean energy consumption and safe and stable operation of the power grid to ensure the feasibility of transaction results. sex. [0003] The traditional monthly transaction security check often adopts the post-transaction check mode, that is, the dispatching agency checks the pre-cleared electricity of each power generation company according to the clearing results of market transactions, and returns the check results. In the selection of the calibration method, the...

AI Technical Summary

Problems solved by technology

On the one hand, due to the high proportion of new energy installed capacity, when its output fluctuates, it may have a greater impact on the monthly transaction verification results, and the adoption of the post-transaction verification mode may have a greater change in the pre-clearing results, causing market members The fairness of the verification process is questioned; on the other hand, since the dispatching organization needs to ensure the execution of transaction results, it must pay more attention to the transaction verification results in extreme scenarios, and consider the volatility of marginal data such as new energy and electricity consumption needs to be more fully

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