Photovoltaic array parameter identification method based on measured data

Abstract

The invention discloses a photovoltaic array parameter identification method based on measured data. The method includes the steps that a feasible solution range of parameters to be acquired are determined in advance through a conventional parameter identification method; parameter identification is conducted on the measured data of a photovoltaic array through a genetic algorithm and a simulated annealing genetic algorithm. The parameter identification method is high in practicality. By compressing a region of search, identification efficiency of the genetic algorithm is effectively improved, and complexity of the algorithm is reduced; meanwhile, the measured parameters are identified by combining the genetic algorithm and the simulated annealing genetic algorithm, and therefore accuracy of identification results is effectively improved.

Description

technical field [0001] The invention relates to a method for identifying parameters of a photovoltaic array, in particular to a method for identifying parameters of a photovoltaic array based on measured data. Background technique [0002] In the actual photovoltaic power generation system, in order to accurately predict the power generation of the photovoltaic array and reduce the adverse impact of the photovoltaic power generation system on the grid, it is particularly necessary to quickly and accurately determine the model parameters of the photovoltaic array. [0003] Traditional parameter identification methods mainly include conductance simplification method, Newton-Raphson method, etc. These methods are mostly based on the short-circuit current I under the standard test condition (STC) provided by photovoltaic cell manufacturers. sc , open circuit voltage V oc , maximum power point current I m , maximum power point voltage V m , calculate the parameters of the phot...

AI Technical Summary

Problems solved by technology

However, after the photovoltaic cells are connected in series and parallel into a photovoltaic array, the working status of each battery in the array is inconsistent; at this time, the operating parameters of the photovoltaic array cannot be accurately identified using the data provided by the manufacturer, resulting in the inability to accurately predict the output power of the photovoltaic array

In addition, with the passage of time, the parameters of the photovoltaic array will change. At this time, it is impossible to obtain accurate system parameters by using the information at the factory

Now the most widely used is the five-point measurement method, which can effectively solve the model parameters, but it needs to obtain the derivatives of the short-circuit point and the open-circuit point of the photovoltaic cell I-V characteristic curve in advance; at the same time, this method is still used to provide The parameters under the standard working conditions reduce the efficiency and accuracy of identification

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