Shen Minxiang, Guo Qian, Wei Dong, et al. CALCULATION AND VALIDATION OF PHOTOVOLTAIC STRING MULTI-PEAK PARAMETERS BASED ON MULTI-PEAK SEPARATION[J]. 2025, 46(3): 320-327.
Shen Minxiang, Guo Qian, Wei Dong, et al. CALCULATION AND VALIDATION OF PHOTOVOLTAIC STRING MULTI-PEAK PARAMETERS BASED ON MULTI-PEAK SEPARATION[J]. 2025, 46(3): 320-327. DOI: 10.19912/j.0254-0096.tynxb.2023-1752.
CALCULATION AND VALIDATION OF PHOTOVOLTAIC STRING MULTI-PEAK PARAMETERS BASED ON MULTI-PEAK SEPARATION
Based on the forward/reverse output characteristic model of solar cells
the influence of fault modules on the I-V output characteristic curve of photovoltaic string is studied
and a multi peak output characteristic model of photovoltaic string is established. Based on the superposition characteristics of photovoltaic string output voltage
a multi peak separation method for string is obtained
and a parameter calculation method for photovoltaic string model with multi peak output characteristic curves is proposed. Starting from the first peak of the multi peak output characteristic curve
the improved particle swarm optimization algorithm is used to calculate the unit model parameters corresponding to the current peak. Then
through the multi peak separation method
combined with the calculated first peak to all model parameters corresponding to the current peak
the single peak curve is separated from the next peak
and the corresponding model parameters are calculated. The multi peak separation and single peak parameter calculation alternate until the tail peak
and all model parameter calculations are completed. The experimental results show that the established multi peak output characteristic model of photovoltaic string can reliably simulate the output characteristics of photovoltaic string under different faults; The proposed multi peak separation based photovoltaic string multi peak parameter calculation method can accurately calculate the photovoltaic string model parameters under different faults.
关键词
Keywords
references
CHEN X, YU K J.Hybridizing cuckoo search algorithm with biogeography-based optimization for estimating photovoltaic model parameters[J]. Solar energy, 2019, 180: 192-206.
LONG W, CAI S H, JIAO J J, et al.A new hybrid algorithm based on grey wolf optimizer and cuckoo search for parameter extraction of solar photovoltaic models[J]. Energy conversion and management, 2020, 203: 112243.
YOUSRI D, ALLAM D, ETEIBA M B, et al.Static and dynamic photovoltaic models’ parameters identification using Chaotic Heterogeneous Comprehensive Learning Particle Swarm Optimizer variants[J]. Energy conversion and management, 2019, 182: 546-563.
LI S J, GU Q, GONG W Y, et al.An enhanced adaptive differential evolution algorithm for parameter extraction of photovoltaic models[J]. Energy conversion and management, 2020, 205: 112443.
MARTIN, ABDEL ALEEM S H E, ZOBAA A F. On the root mean square error (RMSE) calculation for parameter estimation of photovoltaic models: a novel exact analytical solution based on Lambert W function[J]. Energy conversion and management, 2020, 210: 112716.
ALI. New method for computing single diode model parameters of photovoltaic modules[J]. Renewable energy, 2018, 128: 30-36.
MEHTA H K, WARKE H, KUKADIYA K, et al.Accurate expressions for single-diode-model solar cell parameterization[J]. IEEE journal of photovoltaics, 2019, 9(3): 803-810.
SATPATHY P R, SHARMA R.Parametric indicators for partial shading and fault prediction in photovoltaic arrays with various interconnection topologies[J]. Energy conversion and management, 2020, 219: 113018.