Multi-harmonic source identification method for power distribution network

Abstract

The invention relates to a multi-harmonic source identification method for a power distribution network. The method comprises the following steps of (1) placing a phasor measurement unit (PMU) in thepower distribution network; (2) performing optimization configuration of the PMU on the power distribution network: determining a mathematic model of PMU optimization configuration; solving the mathematic model of the PMU optimization configuration by utilizing a binary imperialist competitive algorithm to obtain an optimization configuration scheme of the PMU; (3) obtaining harmonic voltage Vh data in a period of time at a node for configuring the PMU in the power distribution network; (4) obtaining a fast change component Vh.fast in a harmonic voltage Vh by using a mobile filter; (5) preprocessing Vh, namely, performing centralization processing and whitening processing; and (6) applying the fast change component Vh.fast to an improved independent component analysis algorithm, determining a separation matrix, and enabling the separation matrix to act on the harmonic voltage Vh for separation to obtain harmonic currents Ih injected into the power distribution network. The method has the characteristics of systematization and accurate estimation result, and can be used for the multi-harmonic source identification process under unknown harmonic impedance in the actual power distribution network.

Description

technical field [0001] The invention relates to the field of power quality analysis and control, in particular to a multi-harmonic source identification method in a distribution network. Background technique [0002] Electric energy has become one of the indispensable and important energy sources in modern human society because of its advantages of being economical, practical, clean and controllable, and convenient for transmission. As a special commodity, electric energy also emphasizes quality. High-quality electric energy supply not only ensures the safe, economical and efficient operation of the power system, but also guarantees the normal production of enterprises, which is an important prerequisite for improving people's living standards. Since the beginning of the 21st century, the demand for electricity has continued to grow, and new types of power loads have also developed rapidly. This has brought unprecedented opportunities to the development of modern power grids...

AI Technical Summary

Problems solved by technology

Although this method can identify the harmonic source in the network only by measuring the quantity when the network parameters and topology are unknown, the isolated harmonic current has amplitude and order due to the characteristics of the blind source separation algorithm itself. Uncertainty, especially the order in which each harmonic current is separated has a greater impact on the separation performance of the algorithm

In addition, in this method, the measurement devices are randomly placed, as long as the number of measurement devices is not less than the number of harmonic sources, it does not consider whether the placement of the measurement devices can ensure the observability of the network, which is bound to will bias the final estimate

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