Photovoltaic cell parameter identification method based on improved particle swarm algorithm

A technology for improving particle swarms and photovoltaic cells. It is used in electrical digital data processing, calculation, and calculation models. It can solve problems such as poor convergence accuracy, slow convergence speed, and inability to overcome genetic algorithms that are prone to fall into prematurity. Easy to test and converge Fast speed, good effect of global optimization ability
CN106202914AInactive Publication Date: 2016-12-07STATE GRID QINGHAI ELECTRIC POWER +2
2 Cites 33 Cited by

Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
STATE GRID QINGHAI ELECTRIC POWER
Publication Date
2016-12-07
Estimated Expiration
Not applicable · inactive patent

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention discloses a photovoltaic cell parameter identification method based on an improved particle swarm algorithm. The implementation process framework of the method comprises the steps of establishing a recursive least-square model form of a photovoltaic cell and determining a parameter to be identified, initializing the position and speed of a particle swarm, calculating a particle fitness value, an individual extremum and a group extremum, updating the position and speed of particles, adding the individual extremum to a Gauss operator, calculating the fitness value and updating the individual extremum, calculating the distance between each particle and a global extremum, calculating the particle fitness value, conducting individual extremum and group extremum updating and outputting the optimal value of the photovoltaic cell parameter to be determined. The photovoltaic cell parameter identification method based on the improved particle swarm algorithm is used for parameter analysis of a series-parallel connection m*n type photovoltaic module array in a grid-connected photovoltaic power generation system and can be used for identifying an undetermined parameter of an I-V equation of the photovoltaic cell, determining an I-V mathematical model of the photovoltaic cell and analyzing failure activating causes of the photovoltaic cell.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to the technical field of photovoltaic power generation, in particular to a method for identifying photovoltaic cell parameters in a photovoltaic grid-connected power generation system. Background technique

[0002] The utilization of solar energy and the research on the characteristics of photovoltaic cells have become hot spots. With the deepening of research, scholars at home and abroad have proposed different photovoltaic cell models to describe the I-V curve. The I-V curve is a macroscopic expression of the characteristics of photovoltaic cells, and the parameters in it reflect the intrinsic characteristics of the model. By identifying the photovoltaic cell parameters, not only can the I-V equation be determined, and the output power of the photovoltaic array can be predicted by using the obtained I-V equation; and the cause of the photovoltaic cell failure can be further studied by analyzing the changes of these parameters. ...

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