Thevenin equivalent parameter identification method based on partial least squares regression

Abstract

The invention discloses a Thevenin equivalent parameter identification method based on partial least squares regression. The Thevenin equivalent parameter identification method based on the partial least squares regression is based on the situation that part equivalent processing is conducted on a complex network below a certain power transmission section, conducts linear regression using current time section data and a plurality of groups of state data after part equivalent processing, and can solve the problem of unstable regression coefficients and the problem that because independent variables have strong relevance, regression parameters drift. The method is simple, practical, strong in identification result effectiveness, and fast in calculating speed, and does not have an initial value selection problem. The Thevenin equivalent parameter identification method based on the partial least squares regression comprises the following steps that first, a power transmission section is selected, a person looks at a system from any loading node i, and the system and a system with two nodes are equivalent; second, part equivalent processing is conducted on a power grid, and a Thevenin equivalent model of a loading node in an operation work place is acquired through the application of a partial least squares regression method.

Description

technical field [0001] The invention relates to a Thevenin equivalent parameter identification method, in particular to a Thevenin equivalent parameter identification method based on partial least square regression. Background technique [0002] With the expansion of the grid interconnection scale and the rapid growth of power demand, the operating environment of the grid has become more and more complex, and the operating point of the power system is getting closer and closer to the stability limit. In recent years, system breakdown accidents caused by voltage instability have occurred in many countries in the world, causing huge economic losses and social impacts. Therefore, the research on online monitoring of power grid voltage stability has aroused extensive attention and attention from scholars at home and abroad. [0003] At present, due to the complete plant data acquisition and monitoring system (SCADA), and the phasor measurement unit (PMU) that appeared in the po...

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Problems solved by technology

The present invention is based on the local equivalent processing of the complex network under a certain tidal current section, and uses the current time section data and multiple groups of state data after local equivalent processing to perform linear regression, which can solve the problem of unstable regression coefficients and causes There is a relatively strong correlation between independent variables that leads to the problem of regression parameter drift

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