Power system load modeling method based on electric energy quality monitoring system

Abstract

The invention relates to a power system load modeling method based on an electric energy quality monitoring system, belonging to the field of power system measurement and load model identification. The method comprises the following steps of: acquiring power grid disturbance data by utilizing the electric energy quality monitoring system, carrying out data processing including smoothing filtering and zero shill rectifying; taking a ZIP static load model connected in parallel with a three-order induction motor model as a dynamic load model by using an asymmetric disturbance data load modeling method; identifying the model by using an improved clonal selection algorithm; verifying the fitting condition of model output power and actually measured load power under different fault conditions, and outputting an MI card and a fitting curve according to a BPA (Brushless permanent magnet) motor. In the invention, data are acquired by utilizing the electric energy quality monitoring system, the problem of data sources in the load modeling process is solved, and the parameter of the load model is identified by using the improved clonal selection algorithm, therefore, the identification precision is high, and the characterstic of global convergence is achieved. The load model identified by using the method approaches to the actual situation and is suitable for actual engineering application.

Description

technical field [0001] The invention belongs to the field of power system measurement and load model identification, and proposes a power system load modeling method based on a power quality monitoring system, which is suitable for application in actual engineering. Background technique [0002] The modern power system is developing in the direction of large power grid interconnection, AC-DC hybrid, and long-distance power transmission. The safe and stable operation of large power grids has become the focus of attention, especially in recent years. The large-scale power outage accidents during the freezing rain and snow disasters have drawn widespread attention to the safety and reliability of the power grid. Power system digital simulation technology is one of the important scientific tools to analyze and study the operation mechanism of power system. It has become an indispensable means in power system planning, operation and control, so that people have higher and higher ...

AI Technical Summary

Problems solved by technology

However, the application of this model requires many parameters to be identified, with multiple peaks, slight differences in extreme points, and complex solution space.

The most commonly used methods for solving parameter identification include traditional optimization algorithms such as the least squares method and artificial intelligence algorithms represented by genetic algorithms. Traditional optimization algorithms are greatly affected by the initial value and difficult to converge. Genetic algorithms have poor global convergence and are prone to individual Degradation and other issues

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