Self-adaptive nuclear density robust state estimation method for power system

Abstract

The invention relates to a self-adaptive nuclear density robust state estimation method for a power system. The self-adaptive nuclear density robust state estimation method comprises the following steps: 1) reading network parameters, measured data and standard deviation thereof of the power system; 2) dividing the power system into M observable islands according to the network parameters; 3) performing state estimation on each observable island in sequence: a, establishing a self-adaptive nuclear density robust state estimation mathematical model; and b, dissolving the self-adaptive nuclear density robust state estimation mathematical model by adopting a Newton iteration method to obtain the state estimation results of each observable island. Compared with the prior art, the self-adaptive nuclear density robust state estimation method has the advantages of being good in convergence, good in robust capacity, capable of realizing smooth step-by-step recognition of suspicious data and the like.

Description

technical field [0001] The invention relates to the field of power system state estimation, in particular to a power system self-adaptive kernel density tolerance state estimation method. Background technique [0002] Power system state estimation is one of the core functions in EMS, and its performance directly affects the reliability and credibility of all advanced application software operations and calculations based on it. At present, State Grid is fully implementing industry benchmarking of state estimation accuracy, so as to improve the reliability and accuracy of state estimation software operation of provincial power grids to a new level. Correspondingly, in this context, improving the robustness, rapidity, and accuracy of bad data identification can not only enable dispatchers to accurately and comprehensively grasp the actual operating status of the power system, but also greatly improve the level of safety and economic operation of the power system. ; At the sam...

AI Technical Summary

Problems solved by technology

[0004] It can be seen that in order to ensure the effectiveness of the solution, different state estimation models need to have corresponding solution methods to adapt to them. At present, there are only one-dimensional kernel density-based robust state estimation models and their solution methods, and they do not give Outgoing system core bandwidth determination strategy

Images