基于IHHO算法的光伏电池工程模型的参数辨识

doi:10.3969/j.issn.1000-1158.2021.02.14

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Abstract Aiming at the problem that the adjustment of HHO algorithm is not flexible enough in the search process, periodic search cant be carried out pertinently, and sometimes the algorithm falls into the local optimal leading to relatively poor search accuracy, a parameter identification method based on improved harris hawks optimization (IHHO) algorithm is proposed. Two improvements are made to HHO algorithm. The flexible decline strategy is introduced to expand the global search scope at the beginning of the iteration and to extend the local search time at the end of the iteration, which strengthens the global search ability at the initial stage and the local search ability at the later stage. The introduction of golden sine method not only increases the diversity of the population, reduces the possibility of the algorithm falling into local optimization, but also reduces the search space and improves the efficiency of optimization. When applied to the parameter identification of photovoltaic cell engineering model, IHHO algorithm is more accurate than other algorithms, and the identification results are more consistent with the measured data, which shows that IHHO algorithm can accurately identify the parameters of photovoltaic cell engineering model in different environments.

Key words： metrology photovoltaic cells engineering model parameter identification IHHO algorithm flexibility decline local optimization

Received: 03 January 2020 Published: 18 February 2021

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TB971

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	WU Zhong-qiang
	LIU Chong-yang

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WU Zhong-qiang,LIU Chong-yang. Parameter Identification of Photovoltaic Cell Engineering Model Based on IHHO Algorithm[J]. Acta Metrologica Sinica, 2021, 42(2): 221-227.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2021.02.14 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2021/V42/I2/221

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