Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Maximum power estimation method for photovoltaic power generation system

A photovoltaic power generation system, maximum power technology, applied in the direction of photovoltaic power generation, complex mathematical operations, single-network parallel feeding arrangements, etc., can solve the problems of accuracy, reduced accuracy, and low calculation difficulty that are difficult to solve by iterative convergence, and achieve faster Convergence speed and accuracy, and the effect of improving calculation speed

Pending Publication Date: 2020-07-24
STATE GRID GASU ELECTRIC POWER RES INST +2
View PDF0 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The maximum power estimation (Maximum PhotovoltaicPower Estimation, MPPE) of the photovoltaic power generation system needs to model and analyze the photovoltaic cells and modules. The photovoltaic single diode model (also known as the five-parameter model) is more accurate and less difficult to calculate. It is widely used, but its accuracy will be greatly reduced in the case of low solar radiation and open circuit voltage. The photovoltaic double diode model compensates for the recombination loss by connecting another diode in parallel in the single diode model to improve the modeling accuracy.
However, the dual-diode model is a seven-parameter model that needs to be solved for seven parameters. Since the photovoltaic output characteristic is a nonlinear transcendental equation, there is a greater risk of iteration failure during the solution process. The traditional linear approximation method will bring large errors in low-radiation environments. The prediction accuracy cannot be guaranteed, and it is difficult to ensure both the iterative convergence and the accuracy of the solution during the solution process

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
  • Maximum power estimation method for photovoltaic power generation system
  • Maximum power estimation method for photovoltaic power generation system
  • Maximum power estimation method for photovoltaic power generation system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] The Levenberg-Marquard method (Levenberg-Marquard, L-M) combines the advantages of the Gauss-Newton method and the gradient descent method, and improves the shortcomings of the two to ensure the speed and accuracy of iterative convergence.

[0031] The equivalent circuit of the photovoltaic cell double diode model is as figure 2 Shown:

[0032] The photovoltaic output current can be expressed by formula (1):

[0033]

[0034] I in formula (1) ph is the photogenerated current of the photovoltaic module; I o1 and I o2 is the diode reverse saturation current; I d1 and I d2 It is artificial to flow through the diode D 1 and D 2 Current; I Rsh is the current flowing through the parallel resistor; R s and R sh are series resistance and parallel resistance; V and I are photovoltaic cell output voltage and current respectively; A 1 and A 2 Respectively diode ideality factor; N s is the number of PV modules connected in series; V t =kT / q, k is Boltzmann's const...

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 provides a maximum power estimation method for a photovoltaic power generation system. The maximum power estimation method comprises the steps of establishing a double-diode 7 parametermodel of a photovoltaic cell, and realizing conversion calculation from environmental parameters to standard conditions by adopting open-circuit voltage and short-circuit current parameters; and usingan L-M algorithm controlled by parameters, so that the algorithm shows the characteristics of a gradient descent method and a Gauss-Newton method in sections, and the advantages of the two methods are fully combined. Photovoltaic double-diode model parameter calculation based on the L-M algorithm is less affected by iterative initial value selection, and convergence speed and precision are increased. The maximum power value is obtained based on an open-circuit voltage approximation method. The process of one-time iteration is omitted, and the calculation speed is increased.

Description

technical field [0001] The invention belongs to the technical field of photovoltaic power generation, and in particular relates to a method for estimating the maximum power of a photovoltaic power generation system based on a double diode model and an LM algorithm. Background technique [0002] As an important renewable energy power generation technology, photovoltaic power generation occupies an important position in the future energy development. With the gradual increase in the proportion of photovoltaic power generation, the power grid has put forward higher and higher requirements for the controllability of photovoltaic power generation systems. Estimating the maximum power of photovoltaic power generation system, the maximum output power of photovoltaic power can be obtained by numerical calculation method, which is convenient for the power grid to issue dispatching instructions and control, and prevent the excessive fluctuation of the output power of photovoltaic powe...

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
Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/38H02J3/46G06F17/10
CPCH02J3/46G06F17/10Y02E10/56
Inventor 丁坤汪宁渤周识远张珍珍高鹏飞张睿骁谭宏涛包广清行舟李晓虎邵冲韩自奋
Owner STATE GRID GASU ELECTRIC POWER RES INST
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products