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Reliability Evaluation Method of Photovoltaic Power Plant Based on Markov Chain Monte Carlo Method

A Markov chain and photovoltaic power station technology, applied in data processing applications, instruments, calculations, etc., can solve the problems of low calculation efficiency and high dimensionality, achieve accurate evaluation results, reduce evaluation time, and reduce the dimensionality of operations Effect

Inactive Publication Date: 2018-12-14
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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Problems solved by technology

Its disadvantages are low computational efficiency, high dimensionality, and static characteristics, making it difficult to sample from high-dimensional probability distribution functions

Method used

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  • Reliability Evaluation Method of Photovoltaic Power Plant Based on Markov Chain Monte Carlo Method
  • Reliability Evaluation Method of Photovoltaic Power Plant Based on Markov Chain Monte Carlo Method
  • Reliability Evaluation Method of Photovoltaic Power Plant Based on Markov Chain Monte Carlo Method

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Embodiment Construction

[0050] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0051] A typical centralized photovoltaic power station is composed of N power generation units, and the structure of each power generation unit is as follows figure 1 As shown, it includes the following five components: photovoltaic array, DC combiner box, photovoltaic inverter, transformer, and AC grid.

[0052] Such as figure 2 As shown, a photovoltaic power station reliability assessment method based on the Markov chain Monte Carlo method is used for a centralized photovoltaic power station composed of N power generation units, and each power generation unit includes the following four main components: photovoltaic array , DC combiner box, photovoltaic inverter, transformer; characterized in that:

[0053] Include the following steps:

[0054] Step 1: Establish the Markov chain model of each component: Screen the components re...

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Abstract

The invention discloses a Markov chain Monte Carlo method-based photovoltaic power station reliability evaluation method. The method is used for a concentrated photovoltaic power station composed of n power generating units; each power generating unit includes a photovoltaic array, a direct current combiner box, a photovoltaic inverter and a transformer; and the power generating units are finally connected into an alternating current power grid. The method includes the following steps of: establishment of the Markov chain models of each component; state sampling; operation process simulation; and judgment algorithm convergence. The method of the invention has high stability, and has high correctness and superiority in reliability evaluation of large-scale photovoltaic power stations.

Description

technical field [0001] The invention relates to a method for evaluating the reliability of a photovoltaic power station, in particular to a method for evaluating the reliability of a photovoltaic power station based on a Markov chain Monte Carlo method, which belongs to the technical field of photovoltaic power generation. Background technique [0002] In recent years, solar photovoltaic power generation technology has continued to develop rapidly, and the installed capacity of grid-connected photovoltaic power generation has grown rapidly. In 2013, for the first time, the newly added capacity of solar photovoltaic in the world exceeded the newly added capacity of wind power. It is estimated that by 2020, the cumulative installed capacity of photovoltaic power generation in my country will exceed 20GW. However, due to the long-term rush to install domestic photovoltaic projects, multiple failures and low efficiency have become a problem that cannot be ignored. At the same ti...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q50/06
Inventor 朱晓荣王羽凝
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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