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Mixing island detection method based on combination of wavelet neural network and SMS

A wavelet neural network and island detection technology, applied in neural learning methods, biological neural network models, neural architectures, etc., can solve the problems of island detection failure, slow phase disturbance detection, increase the complexity of calculation and detection time, etc. , to reduce the impact of power quality and improve reliability

Active Publication Date: 2018-07-13
TONGLING POWER SUPPLY CO OF STATE GRID ANHUI ELECTRIC POWER CO
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Problems solved by technology

Document 2 Invention Patent "Island Detection Method Based on the Introduction of Particle Swarm Algorithm and Phase Perturbation" (Notice No. CN104638671A), this invention uses the combination of particle swarm wavelet neural network and phase perturbation method, but the introduction of particle swarm increases the computational complexity. complexity and detection time, especially as the load quality factor Q f The increase of the traditional SMS phase disturbance detection speed will slow down and even lead to the defect of islanding detection failure

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  • Mixing island detection method based on combination of wavelet neural network and SMS
  • Mixing island detection method based on combination of wavelet neural network and SMS
  • Mixing island detection method based on combination of wavelet neural network and SMS

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[0027] Below in conjunction with embodiment technical solution of the present invention is made more specific description:

[0028] A hybrid island detection method based on the combination of wavelet neural network and SMS, comprising the following steps:

[0029] Step 1, real-time collection of the voltage value u of the public coupling point of the distributed grid-connected power generation system in the island and non-island state PCC (i), where i is the number of samples.

[0030] Step 2, the collected voltage value u PCC (i) Do the following:

[0031] The voltage value u of the common coupling point to be collected PCC (i) Perform 4-scale discrete wavelet transform to extract the j-th scale detail signal d of the i-th sampling j (i), press Calculate the average value of the absolute value of the wavelet coefficient within a voltage cycle, E j As the input signal of the three-layer feedforward BP neural network, the corresponding island and non-island state are us...

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Abstract

The invention discloses a mixing island detection method based on the combination of a wavelet neural network and an SMS. According to the technical scheme, in the first state, by detecting a voltagesignal on a public coupling point in a cycle, wavelet transformation is conducted to obtain an average value of a wavelet coefficient absolute value in a voltage cycle, the average value is used as aninput signal of a BP neural network, and finally, the BP neural network is used for mode recognition; in the second stage, phase perturbation in an SMS algorithm is introduced, so that whether the frequency of public coupling point voltage exceeds a threshold value or not is detected, through the frequency detection, whether an island phenomenon really occurs or not is determined, and thus when agrid-connection power generation system is in an island state, a corresponding island protection measure is taken. The reliability of island detection is greatly improved, and on the premise of guaranteeing the island recognition rate, the influence of the detection method on the system electric energy quality is greatly lowered.

Description

technical field [0001] An island detection method, especially a hybrid island detection method based on the combination of wavelet neural network and SMS. Background technique [0002] With the increase of human society's demand for electric energy and the advancement of electric power industry technology, distributed generation (DG) technology has received extensive attention and in-depth research in countries all over the world. The DG system represented by photovoltaic power generation and wind power generation is not only clean and environmentally friendly, but also has renewable energy. Compared with traditional centralized power generation, it also has the characteristics of small investment and flexible power generation methods. However, after a large number of distributed generation is connected to the grid, a series of new problems have arisen, and the island effect is one of the serious problems. Therefore, island detection is a necessary function for distributed g...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06N3/04G06N3/08H02J3/38
CPCH02J3/382G06N3/082G06F30/20H02J3/388G06N3/045Y02E60/00
Inventor 李磊王涛罗玉平刘芹
Owner TONGLING POWER SUPPLY CO OF STATE GRID ANHUI ELECTRIC POWER CO
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