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Photovoltaic cell parameter identification method based on group search algorithm

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

Inactive Publication Date: 2018-12-25
STATE GRID QINGHAI ELECTRIC POWER +2
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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. Limitations; the parameter identification method based on the neural network algorithm has slow convergence speed and is easy to fall into local optimum; the parameter identification method based on the particle swarm optimization algorithm has problems such as long optimization time, easy to fall into premature maturity, and cumbersome implementation

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  • Photovoltaic cell parameter identification method based on group search algorithm
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  • Photovoltaic cell parameter identification method based on group search algorithm

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Embodiment Construction

[0059] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0060] 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 schematic diagram of the photovoltaic cell mechanism model, the mathematical model of the photovoltaic cell 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 A, series resistance R s , the series resistor R s with load R L Series and parallel resistance R sh , parallel resistance R sh in parallel with diode A, and with the rms error R MSE is the obje...

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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...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02S50/10
CPCH02S50/10Y02B10/10Y02E10/50
Inventor 李春来徐岩高兆
Owner STATE GRID QINGHAI ELECTRIC POWER
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