Hybrid method of distributed grid-connected island detection

An island detection and distributed technology, applied in the direction of measuring electricity, measuring devices, measuring electrical variables, etc., can solve the problems of poor detection reliability and detection blind spots, and achieve the effect of no detection blind spots and improved reliability.

Active Publication Date: 2019-02-26
NORTHEASTERN UNIV
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Problems solved by technology

[0005] Aiming at the technical problems of detection blind spots and poor detection reliability existing in the prior art, the present invention provides a hybrid method for distributed grid-connected island detection

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  • Hybrid method of distributed grid-connected island detection

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Embodiment Construction

[0030] In order to better explain the present invention and facilitate understanding, the present invention will be described in detail below through specific embodiments in conjunction with the accompanying drawings.

[0031] The invention is a hybrid method for distributed grid-connected isolated island detection. The basic process is as figure 1 As shown, mainly in the distributed power grid-connected system, the combination of wavelet neural network and carrier communication technology is used to detect whether the distributed grid-connected power generation system enters the island state.

[0032] A hybrid method for distributed grid-connected island detection, the specific implementation includes the following steps:

[0033] Step one, according to figure 2 As shown, a carrier signal generating device is installed at the head end of the line equipped with a distributed inverter, and the inverters are integrated with a carrier signal receiving device and a wavelet neur...

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Abstract

The invention belongs to the technical field of power system protection and control, in particular to a hybrid method of distributed grid-connected island detection. The method comprises the followingsteps: acquiring the voltage value of a common coupling point of a distributed grid-connected power generation system; performing wavelet transform on the collected voltage value, and calculating theaverage value of absolute values of wavelet coefficients in a voltage period; taking the average value as the input signal of a BP neural network, and carrying out pattern recognition by the BP neural network; when the distributed grid-connected power generation system is judged to be in a suspected island state according to the output result of the BP neural network, detecting whether the voltage of a grid-connected point is superimposed with a set carrier signal; when the set carrier signal is detected, judging that the distributed grid-connected power generation system is in the island state. The method combines a wavelet neural network and the carrier communication technology to detect whether the distributed grid-connected power generation system enters into the island state, improves the island identification rate and the reliability of island detection, and has no detection blind area.

Description

technical field [0001] The invention belongs to the technical field of power system protection and control, and in particular relates to a hybrid method for distributed grid-connected island detection. Background technique [0002] The continuous increase in the scale and capacity of distributed power generation connected to the public grid has brought a series of problems to the operation protection and control of the grid, and the island effect is one of the most serious problems. As a special fault state, the islanding effect is defined as when the public power grid stops supplying power due to faults, maintenance or other reasons, the distributed generation system fails to know the power outage state of the system in time, and still outputs electric energy to the regional loads, eventually forming an unsatisfactory environment. Grid-controlled island operating with local loads. The public power grid trips due to accidental factors such as power outages, maintenance, and...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/00
CPCG01R31/00
Inventor 王大志金思宇于鑫明孙振奥王聪史山川
Owner NORTHEASTERN UNIV
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