基于太阳电池正向/反向输出特性模型,研究故障对光伏组串I-V输出特性曲线的影响,建立光伏组串多峰输出特性模型。根据光伏组串输出电压的叠加特性,获得组串多峰分离方法,从而提出一种面向具有多峰输出特性曲线的光伏组串模型参数计算方法。从多峰输出特性曲线的首峰开始,利用改进粒子群算法计算当前波峰对应的单元模型参数,再通过多峰分离方法,结合计算所得的首峰至当前波峰对应的所有模型参数,从下一波峰中分离得到单峰曲线,计算对应模型参数,多峰分离与单峰参数计算交替进行,直至尾峰,完成所有模型参数计算。实验结果表明：所建光伏组串多峰输出特性模型能可靠模拟不同故障下光伏组串输出特性,所提基于多峰分离的光伏组串多峰参数计算方法能准确计算不同故障下光伏组串模型参数。
Abstract
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
太阳电池 /
参数提取 /
粒子群算法 /
多峰分离 /
光伏组串
Key words
solar cells /
parameter extraction /
particle swarm optimization /
multi-peak separation /
photovoltaic string
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
参考文献
[1] 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.
[2] 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.
[3] 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.
[4] 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.
[5] 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.
[6] ALI. New method for computing single diode model parameters of photovoltaic modules[J]. Renewable energy, 2018, 128: 30-36.
[7] 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.
[8] WEI D, WEI M Y, CAI H, et al.Parameters extraction method of PV model based on key points of I-V curve[J]. Energy conversion and management, 2020, 209: 112656.
[9] 方洛迪, 郭倩, 卫东, 等. 遮挡状态下光伏组件多峰输出特性的参数计算与分析[J]. 太阳能学报, 2022, 43(7): 115-121.
FANG L D, GUO Q, WEI D, et al.Parameters calculation and analysis of muti-peak output characteristics of PV module under shading[J]. Acta energiae solaris sinica, 2022, 43(7): 115-121.
[10] 魏缪宇, 卫东, 郭倩, 等. 局部异物遮挡状态下光伏单元输出特性与故障诊断方法[J]. 太阳能学报, 2021, 42(5): 260-266.
WEI M Y, WEI D, GUO Q, et al.Output characteristics and fault diagnosis method of PV unit under partial shading[J]. Acta energiae solaris sinica, 2021, 42(5): 260-266.
[11] 臧健康, 卫东, 魏缪宇. 基于多峰状态的光伏组串参数求解与波峰最大功率点计算方法[J]. 太阳能学报, 2020, 41(11): 86-94.
ZANG J K, WEI D, WEI M Y.Multi-paek state-based photovolatic string parmater extraction and global maximum power point calculation method[J]. Acta energiae solaris sinica, 2020, 41(11): 86-94.
[12] 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.
[13] FENG L, ZHANG J W, KIONG T S, et al.Estimating crack effects on electrical characteristics of PV modules based on monitoring data and I-V curves[J]. IEEE journal of photovoltaics, 2023, 13(4): 558-570.
[14] 李智华, 马浩强, 吴春华, 等. 基于三参数的光伏组件老化程度诊断[J]. 中国电机工程学报, 2022, 42(9): 3327-3338.
LI Z H, MA H Q, WU C H, et al.Diagnosing the aging degree of photovoltaic modules based on three parameters[J]. Proceedings of the CSEE, 2022, 42(9): 3327-3338.
[15] 魏缪宇. 基于特征量计算的光伏组件遮挡状态及热斑故障分析[D]. 杭州: 中国计量大学, 2019.
WEI M Y.Analysis of photovoltaic module occlusion state and thermal spot fault based on feature quantity calculation[D]. Hangzhou: China University of Metrology, 2019.
[16] MA M Y, ZHANG Z X, YUN P, et al.Photovoltaic module current mismatch fault diagnosis based on I-V data[J]. IEEE journal of photovoltaics, 2021, 11(3): 779-788.
[17] 马铭遥, 王海松, 马文婷, 等. 基于S-V特性分析的晶硅光伏组件阴影遮挡故障诊断[J]. 太阳能学报, 2022, 43(9): 64-72.
MA M Y, WANG H S, MA W T, et al.Partial shadow fault diagnosis of crystalline silicon photovoltaic module based on S-V characteristic analysis[J]. Acta energiae solaris sinica, 2022, 43(9): 64-72.
基金
浙江省基础公益研究计划（LGG22E070003; LGG20E070003）; 浙江省属高校基本科研业务费专项资金（2021YW42）
PDF(1785 KB)
