Large power network graded voltage control method under wind power access

Abstract

The invention discloses a large power network graded voltage control method under wind power access. The control method comprises the steps of (1) measuring the power flow calculation data at the input current moment of the system in real time; (2) carrying out online selection on data leading node based on clustering by fast search and find of density peaks; (3) carrying out three-level voltage control optimization calculation according to the current state, and determining an adjusting target value of the voltage of the leading node according to the optimization result and the selected leading node; and (4) sending down the leading node target value to a two-level voltage control system, implementing two-level voltage control, ensuring the voltage of the leading node at the target value level, and maintaining the overall voltage level of the system; judging whether the system runs to a moment corresponding to a next three-level voltage control cycle or not; if so, returning to the step (1); and or otherwise, returning to the step (4). By adoption of the large power network graded voltage control method, it is ensured that the control machine set, the control target and the constraint conditions do not need to be replaced frequently in the process when the target issued by the three-level voltage control is maintained by the two-level voltage control, so that the feasibility of the practical engineering application can be ensured.

Description

technical field [0001] The invention relates to a hierarchical voltage control method of a large power grid under the access of wind power. Background technique [0002] The selection of the dominant node is an important part of the implementation process of the three-level voltage control of the large power grid. As the control target of the second-level voltage control link, its selection is very important for the control effect of the whole network optimization. [0003] The traditional dominant node selection method is very mature, which mainly includes directly taking the node with the largest electrical distance center or regional voltage and reactive power sensitivity as the dominant node, based on the sensitivity and aiming at the minimum voltage deviation of the load node to optimize the dominant node through genetic algorithms and other intelligent algorithms , on the basis of partitioning, consider node controllability factors and select dominant nodes based on no...

AI Technical Summary

Problems solved by technology

Traditional clustering methods such as K-means, agglomerative clustering, etc. also use iterative search in the process of finding the cluster center, which is not suitable for online computing

[0008] Moreover, the existing three-level voltage control of t

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