Rotational reserve optimization method employing risk stepwise polymerization scene

Abstract

The invention discloses a rotational reserve optimization method employing risk stepwise polymerization scene. The rotational reserve optimization method comprises the steps of firstly, optimizing selected reserve measure combination of a previous iterative step, calculating sum of remaining risks of each scene under all scene sets, ending rotational reserve measure (reserve measure RM) optimization selection under the scene sets if the sum of the remaining risks under all scene sets is smaller than the set total remaining risk threshold, otherwise, setting scene sub-sets with remaining risk exceeding a single scene remaining risk threshold under all scene sets to be a scene set to be polymerized; clustering a single scene according to scene probability distance, adding the single scene toa scene set to be optimized, and allocating the scene probability in the scene set to be optimized again; and finally, optimizing RM selection by many steps according to cost performance ratio. The rotational reserve optimization method is high in calculation effect and good in optimization effect, and the calculation efficiency and the total control risk can be coordinated very well.

Description

technical field [0001] The invention relates to a spinning reserve optimization method using risk gradual aggregation scenarios, and belongs to the technical field of power system unit combination. Background technique [0002] The output uncertainty of large-scale intermittent renewable energy (renewable energy, RE) access brings great challenges to the adequacy of system operation. In order to cope with this output uncertainty, it is usually necessary to optimize the purchase of reserve capacity resources in the market to meet the system operation requirements. [0003] In the prior art, the processing methods for the uncertainty of RE output can be mainly divided into three categories. One is to describe the RE through the deterministic output curve obtained by point prediction, and then add a spinning reserve capacity with a fixed ratio of RE output to stabilize its uncertainty. Certainty; or use the confidence interval to describe the uncertainty of RE output, and dete...

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Problems solved by technology

The above method is effective and reasonable for the preliminary reduction of massive scene sets, but due to the lack of direct coordination between the optimization effect and computational efficiency, this method is directly used to reduce the original scene set to a small scale to obtain solution efficiency. Deviating from the original intention of using multiple scenarios to describe the superiority of RE output uncertainty

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