Photovoltaic cell parameter identification method based on improved Harris Hawkoptimization algorithm

A technology of photovoltaic cells and optimization algorithms, applied in the field of parameter identification methods of photovoltaic cells, can solve the problems of inflexible adjustment of the search process, affecting the search accuracy, and increasing the search time, so as to strengthen the global search ability, reduce the search space, reduce the The effect of the possibility of falling into a local optimum

Active Publication Date: 2020-08-07
YANSHAN UNIV
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Problems solved by technology

[0004] The technical problem to be solved in the present invention is that the Harris Eagle optimization algorithm sometimes falls into a local optimum, which will lead to an increase in the optimization time under the condition of ensuring the optimization accuracy,

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  • Photovoltaic cell parameter identification method based on improved Harris Hawkoptimization algorithm
  • Photovoltaic cell parameter identification method based on improved Harris Hawkoptimization algorithm
  • Photovoltaic cell parameter identification method based on improved Harris Hawkoptimization algorithm

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[0038] Below in conjunction with embodiment, the present invention is described in further detail:

[0039] A photovoltaic cell parameter identification method based on the improved Harris Eagle optimization algorithm, comprising the following steps:

[0040] a. According to the basic mathematical model of the photovoltaic cell, construct the engineering model of the photovoltaic cell, construct the fitness function based on the engineering model of the photovoltaic cell, collect and process the output current and voltage data of the photovoltaic cell, and then quickly solve it;

[0041] b. Introduce a flexible decreasing strategy, expand the global search range at the beginning of the iteration, prolong the local search time at the later stage of the iteration, and improve the balance between the global search and the local search;

[0042] c. The golden sine method is introduced, which increases the diversity of the population, reduces the possibility of the algorithm fallin...

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Abstract

The invention relates to a photovoltaic cell parameter identification method based on an improved Harris Hawk optimization algorithm. The method specifically comprises the following steps: 1, collecting and processing output current and voltage data of a photovoltaic cell; 2, establishing an engineering model of the photovoltaic cell, and constructing a fitness function; 3, introducing a flexibledecreasing strategy to improve a prey initial energy decreasing mode; 4, optimizing the current population by using a gold sine method, introducing a golden section number, screening out individuals with optimal fitness from the golden section number, and establishing a new population for next iteration; 5, calculating a fitness value according to parameter information carried by individuals in the population; and stopping until the fitness value of the prey meets the precision requirement or reaches the maximum number of iterations, outputting the parameter information of the prey as the optimal parameter value of the photovoltaic cell, drawing a fitting curve and an algorithm iteration curve, and comparing the current and voltage experiment results of the photovoltaic cell with the modelidentification result. The method can replace a traditional photovoltaic cell identification method, and the identification precision of photovoltaic cell parameters is effectively improved.

Description

technical field [0001] The invention relates to a parameter identification method of a photovoltaic cell, which belongs to the technical field of new energy sources, and in particular to a method for identifying a parameter of a photovoltaic cell model based on an improved Harris Eagle optimization algorithm. Background technique [0002] Solar photovoltaic power generation has the advantages of non-pollution, renewable and widely used, and the modeling of photovoltaic cells is the basis of photovoltaic power generation system, and its quality directly affects the overall effect of the system. Parameter identification has a great impact on photovoltaic system modeling. Inaccurate parameters will not only cause large errors, but may even lead to failure of maximum power point tracking. Therefore, establishing an engineering mathematical model that can describe photovoltaic cells with high precision and accurately identifying its parameters has practical significance for impro...

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Application Information

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IPC IPC(8): G06F17/10G06N3/00
CPCG06F17/10G06N3/006Y02E10/50
Inventor 吴忠强刘重阳王云青赵德隆
Owner YANSHAN UNIV
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