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parameter identification and generality analysis of photovoltaic module dual-diode model based on artificial hummingbird algorithm

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Clean Energy 2023年第6期7卷 1219-1232页

作者： Zhen Li Jianke Hu Yifeng Han Hefeng Li Jun Wang Peter D.Lund Jiangsu Provincial Key Laboratory of Solar Energy Science and Technology School of Energy&EnvironmentSoutheast UniversityNanjing 210096China PowerChina Huadong Engineering Corporation Limited No.201 Gaojiao RoadHangzhou 311122China School of Science Aalto UniversityFI-00076Aalto(Espoo)Finland

The aim of this study is to propose a photovoltaic(PV)module simulation model with high accuracy under practical working conditions and strong applicability in the engineering field to meet various PV system simulation *** previous model-building methods,this study combines the advantages of analytical and metaheuristic ***,the applicability of various metaheuristic algorithms is comprehensively compared and the seven parameters of the PV cell under standard test conditions are extracted using the double diode model,which verifies that the artificial hummingbird algorithm has higher accuracy than other ***,the seven parameters under different conditions are corrected using the analytical *** terms of the correc-tion method,the ideal factor correction is added on the basis of previous methods to solve the deviation between simulated data and measured data in the non-linear ***,the root mean squared error between the simulated current data and the measured current data of the proposed model under three different temperatures and irradiance is 0.0697,0.0570 and 0.0289 A,respectively.

关键词： photovoltaic modules dual-diode model parameter identification metaheuristic algorithms parameter correction

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Uncertainty assessment of potential evapotranspiration in arid areas, as estimated by the Penman-Monteith method

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Journal of Arid Land 2020年第1期12卷 166-180页

作者： HUA Ding HAO Xingming ZHANG Ying QIN Jingxiu State Key Laboratory of Desert and Oasis Ecology Xinjiang Institute of Ecology and GeographyChinese Academy of SciencesUrumqi 830011China University of Chinese Academy of Sciences Beijing 100049China

The Penman-Monteith(PM)method is the most widely used technique to estimate potential worldwide ***,current research shows that there may be significant errors in the application of this method in arid areas,although questions remain as to the degree of this estimation error and how different surface conditions may affect the estimation *** address these issues,we evaluated the uncertainty of the PM method under different underlying conditions in an arid area of Northwest China by analyzing data from 84 meteorological stations and various Moderate Resolution Imaging Spectroradiometer(MODIS)products,including land surface temperature and surface ***,we found that when the PM method used air temperature to calculate the slope of the saturation vapor pressure curve,it significantly overestimated the potential evapotranspiration;the mean annual and July–August overestimation was 83.9 and 36.7 mm,***,the PM method usually set the surface albedo to a fixed value,which led to the potential evapotranspiration being underestimated;the mean annual underestimation was 27.5 mm,while the overestimation for July to August was 5.3 ***,the PM method significantly overestimated the potential evapotranspiration in the arid *** difference in estimation was closely related to the underlying surface *** the entire arid zone,the PM method overestimated the potential evapotranspiration by 33.7 mm per year,with an overestimation of 29.0 mm from July to *** most significant overestimation was evident in the mountainous and plain nonvegetation areas,in which the annual mean overestimation reached 5%and 10%,respectively;during July,there was an estimation of 10%and 20%,*** the annual evapotranspiration of the plains with better vegetation coverage was slightly underestimated,overestimation still occurred in July and August,with a mean overestimation of approximately 5%.In order to estimate pote

关键词： Penman-Monteith parameter correction surface temperature albedo Northwest China

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An improved fatigue life prediction model based on loading sequence

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Railway Sciences 2022年第1期1卷 90-97页

作者： Qiwen Xue Xiuyun Du Dalian Jiaotong University DalianChina

Purpose–In view of the difficulty in determining the key parameters d in the Corten-Dolan model,based on the introduction of small loads,damage degrees and stress states to the Corten-Dolan model and the existing improved model,the sequential effects of the adjacent two-stage load were further ***/methodology/approach–Two improved Corten-Dolan models were established on the basis of modifying the parameter d by two different methods,namely,increasing stress ratio coefficient as well as considering the effects of loading sequence and damage degree as independent influencing factors *** to the test data of the welded joints of common materials(standard 45 steel),alloy materials(standard 16Mn steel)and Q235B steel,the validity and feasibility of the above two improved models for fatigue life prediction were ***–Results show that,compared with the traditional Miner model and the existing Corten-Dolan improved model,the two improved models have higher prediction accuracy in the fatigue life prediction of welding materials whether under two-stage load or multi-stage ***/value–Because the mathematical expressions of the models are relatively simple and need no multi-layer iterative calculation,it is convenient to predict the fatigue life of welded structure in practical engineering.

关键词： Loading sequence Corten-Dolan model Fatigue life Accumulated damage parameter correction Welding material

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