Photovoltaic battery parameter identification method based on swarm search algorithm

A photovoltaic cell and parameter identification technology, applied in the energy field, can solve the problems of cumbersome implementation, slow convergence speed, and long optimization time of parameter identification method.

Inactive Publication Date: 2016-11-30
STATE GRID QINGHAI ELECTRIC POWER +2
View PDF4 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional parameter identification method based on the least squares method is simple to implement, but this algorithm is suitable for solving linear equations. The parameter identification problem of photovoltaic cells obviously cannot be described by a linear relationship, so the least squares method has a great role in solving this problem.

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
  • Photovoltaic battery parameter identification method based on swarm search algorithm
  • Photovoltaic battery parameter identification method based on swarm search algorithm
  • Photovoltaic battery parameter identification method based on swarm search algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0058] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0059] Such as figure 1 As shown, the photovoltaic cell is equivalent to a general P-N junction, and the model of the cell can be equivalent to a parallel circuit of a reverse diode and a current source. According to the principle schematic diagram of the photovoltaic cell mechanism model, a photovoltaic cell mathematical model is established, and the model is taken as the research object to deduce the unknown parameter to be identified in the mechanism model, that is, the photogenerated current I under the standard test conditions ph.ref , the diode reverse saturation current I under standard test conditions o.ref , diode quality factor n, series resistance R s , parallel resistance R sh , and take the root mean square error R MSE is the objective function.

[0060] Such as figure 2 As shown, a photovoltaic cell parameter iden...

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 photovoltaic battery parameter identification method based on a swarm search algorithm. The photovoltaic battery parameter identification method is used for identifying photovoltaic battery parameters of a single-stage grid-connected photovoltaic power generation system and comprises the following steps: acquiring output voltage and output current of a photovoltaic array, and output voltage and output current of a photovoltaic battery; building a photovoltaic battery mechanism model, and determining a target function and parameters to be identified; initializing model parameters to determine a finder, a follower and a straggler; updating the positions of the finder, the follower and the straggler; calculating target function values corresponding to the new positions, and re-distributing the finder, the follower and the straggler; and outputting a parameter identification result. According to the photovoltaic battery parameter identification method based on the swarm search algorithm, due to the randomness of the straggler and the local optimization of the finder, the optimization speed is high; meanwhile, global search is retained all the time, so that the problem of the local minimum of optimization is effectively solved; and the photovoltaic battery parameter identification method has an obvious advantage in optimization of a multi-modal high-dimension non-linear function.

Description

technical field [0001] The invention relates to a photovoltaic battery parameter identification method based on a group search algorithm, which belongs to the technical field of energy. Background technique [0002] In recent years, photovoltaic power generation technology has been widely developed and applied due to its unique power generation characteristics. The photovoltaic cell is an important part of the photovoltaic array in the photovoltaic power generation system. The output characteristics of photovoltaic cells will directly affect the overall output characteristics of the entire photovoltaic power generation system. Accurately calculating the output power of the photovoltaic power generation system and predicting the power generation of photovoltaic power plants can be more accurate. Reasonable arrangement of unit output is conducive to grid-connected operation and dispatch of large-scale photovoltaic power generation systems. Therefore, establishing a model that...

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): H02S50/10
CPCH02S50/10Y02B10/10Y02E10/50
Inventor 李春来徐岩高兆
Owner STATE GRID QINGHAI ELECTRIC POWER
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