A Spinning Standby Optimization Method Using Risk Gradual Aggregation Scenarios

Abstract

The present invention discloses a rotating backup optimization method using risks to gradually aggregate scenarios. Firstly, the combination of backup measures optimized and selected in the previous iterative step is used to calculate the sum of the residual risks of each scenario under the full scenario set. If the residual risk under the full scenario set If the sum is less than the set total residual risk threshold, the optimization selection of the reserve measure (RM) under the scenario set ends; otherwise, set the subset of scenarios whose residual risk exceeds the residual risk threshold of a single scenario under the full scenario set to be aggregated The scene set is then clustered into a single scene according to the scene probability distance, added to the scene set to be optimized, and the scene probability in the scene set to be optimized is redistributed, and finally the RM selection based on the multi-step optimization of the cost-performance ratio is performed. The invention has high calculation efficiency and good optimization effect, and can better coordinate calculation efficiency and total control risk.

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...

AI Technical Summary

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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