System harmonic probability evaluating method based on Markov chain Monte Carlo method

A technology of Markov chain Monte Carlo method and harmonic probability, which is applied in harmonic reduction devices, AC networks to reduce harmonics/ripples, special data processing applications, etc., can solve harmonic pollution and result accuracy , lack of timeliness, lack of use of mathematical tools, etc.

Inactive Publication Date: 2014-09-17
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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Problems solved by technology

The traditional Monte Carlo method has the problem that it is difficult to sample from high-dimensional probability distributions. Therefore, the existing harmonic current analysis and evaluation methods mostly use data measurement or empirical estimation, and lack more scientific mathematical tools. The results are insufficient in terms of accuracy and timeliness
Especially for the power distri

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  • System harmonic probability evaluating method based on Markov chain Monte Carlo method
  • System harmonic probability evaluating method based on Markov chain Monte Carlo method
  • System harmonic probability evaluating method based on Markov chain Monte Carlo method

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Embodiment Construction

[0076] The preferred embodiments are described in detail below in conjunction with the drawings. It should be emphasized that the following description is only exemplary, and is not intended to limit the scope and application of the present invention.

[0077] A system harmonic probability assessment method based on Markov chain Monte Carlo method, characterized in that the method specifically includes the following steps:

[0078] Step 1: Analyze the harmonic injection current model of the PCC point, and determine the non-linear load as the main harmonic source in the distribution network and the distributed power that uses non-linear devices such as power electronic devices for conversion in a certain type of integrated load. The proportion, the magnitude of a certain h-th harmonic current generated by the monomer, the power share in the harmonic source, and the type factor. ;

[0079] Step 2: Analyze the unknown or uncertain parameters in the model according to the Bayes formula...

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Abstract

The invention belongs to the field of distributed generation power quality of a power distribution network of a power system and particularly relates to a system harmonic probability evaluating method based on the Markov chain Monte Carlo method (MCMC). The system harmonic probability evaluating method based on the MCMC comprises the steps that firstly, a harmonic injection current model of a point of common connection (PCC) is analyzed; secondly, the MCMC is deduced; thirdly, an MCMC sampling algorithm flow for harmonic probability evaluation of the power distribution network is put forward again; finally, typical quintuple harmonics and typical septuple harmonics injected into the PCC of the power distribution system are calculated according to the algorithm flow, based on the MCMC sampling method, for harmonic probability evaluation of the power distribution system, and thus a probability statistics characteristic value and a probability density curve of harmonic injection current of the PCC are obtained. According to the system harmonic probability evaluating method based on the MCMC, the influence of the ratio of linear loads to non-linear loads during different time periods is considered, solution is conducted according to the effective MCMC sampling method, the situation that historical measurement data and experience-based judgment results are excessively depended on is avoided, and thus results can be more comprehensive, more objective and more similar to the actual condition of the power distribution network.

Description

Technical field [0001] The invention belongs to the field of distributed power quality of power system distribution network, and in particular relates to a system harmonic probability assessment method based on Markov chain Monte Carlo method. Background technique [0002] Energy is an important material basis for human survival and development. In recent decades, human consumption of energy, especially electric energy, has reached an unprecedented level. The traditional large-scale centralized power supply model has gradually been unable to meet people's needs. Distributed power generation, as a power generation technology using renewable energy, is clean and pollution-free, and can fully and efficiently use distributed resources, and has broad application prospects. In 2011, my country's grid-connected new energy power generation capacity was 93.355 billion kWh, accounting for about 2% of the total power generation. As of the end of 2012, my country's grid-connected new energy ...

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Application Information

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IPC IPC(8): H02J3/01G06F19/00
CPCY02E40/40
Inventor 李庚银张喆周明许雯旸李剑江劲舟
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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