Markov chain Monte Carlo method-based photovoltaic power station reliability evaluation method

A technology of Markov chain and photovoltaic power station, applied in the direction of instruments, data processing applications, calculations, etc., can solve the problems of high dimensionality and low calculation efficiency

Inactive Publication Date: 2016-01-20
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
View PDF3 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Its disadvantages are low computational efficiency, high dimensionality, and static character

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Markov chain Monte Carlo method-based photovoltaic power station reliability evaluation method
  • Markov chain Monte Carlo method-based photovoltaic power station reliability evaluation method
  • Markov chain Monte Carlo method-based photovoltaic power station reliability evaluation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] The present invention will be described in further 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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06Q50/06
Inventor 朱晓荣王羽凝
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap