光伏电池参数求解与最大功率点基准值的研究

文章基于光伏电池的I-V和P-V输出特性,利用Lambert W函数,提出了一种新型求解光伏电池模型参数的算法,并给出在任意光照强度和温度下,光伏系统最大功率点基准值和最基准曲线的方法。最后与实测数据仿真比较,验证了所提参数求解方法的准确性以及对基准值分析的有效性。     

太阳电池动态模型仿真分析及实验研究

建立不同工况下的考虑正向、反向以及动态特性的电路模型,分析模型参数的变化对电池输出特性的影响以及不同工况下光伏组件交流小信号阻抗变化规律。基于Simulink平台,建立太阳电池电路仿真模型,并采用实验测试平台,验证所建立的模型正确有效。结合仿真模型和实验平台测试光伏组件输出特性、有光照和无光照下小信号阻抗特性,结果表明光伏组件输出特性及阻抗特性受偏置电压、光照、反向电容参数影响较大。     

基于忆阻神经网络的光伏面板清扫机器人PID控制器研究

机器人清扫是光伏面板高效、便捷的清扫方式。文章研究了光伏面板清扫机器人的PID控制器的优化策略。文章基于忆阻器独特的纳米级电路特性,设计了一种新型的突触电路;然后,基于新型的突触电路,构建对应的神经元和神经网络电路,并将忆阻神经网络和光伏面板清扫机器人中的PID控制器相结合,提出一种新型PID控制方法,该方法在一定程度上解决了传统PID控制器体积大、功耗高和相关参数不可调的问题;最后,基于仿真结果验证了文章提出方案的可行性和有效性。     

数字式光伏模拟器的研究与设计

为在光伏实验系统中模拟光伏电池外特性,克服自然条件下多种环境因素的复合影响和功率器件性能差异对电池输出特性的影响,实现温度、光照强度改变等条件下光伏电池真实外特性的模拟。设计了一种基于三相AC-DC整流器结构的光伏模拟器,硬件部分基于三相电压型PWM整流器,软件部分基于单二极管光伏电池模型的模拟算法,详细推导了模型参数的计算方法;采用电压电流双环控制策略,保证输出电压的跟踪精度及响应速度,并加入负载电流前馈补偿控制,提升直流电压抗扰动性能。模拟器能够精确模拟光照、温度及阴影遮挡等条件下的光伏阵列外特性,电压控制偏差为±0.001 V,响应时间为20 ms。     

阴影遮蔽条件下光伏阵列的可重构优化配置方法

为了解决光伏阵列在局部阴影遮蔽条件下引起其输出特性发生变化,从而导致光伏发电效率降低等问题,基于光伏电池物理特性模型,利用数值模拟方法分析了阴影遮蔽条件下阴影数目、深度、分布及温度系数等因素对光伏阵列输出特性的影响。为实现光伏阵列的最大功率输出,提出了在阴影遮蔽条件下光伏阵列结构的优化配置规则,并给出了设计案例,结果证明可重构优化配置方法可以有效改善光伏阵列输出特性,提高了光伏发电系统的效率。     

遮挡状态下光伏组件多峰输出特性的参数计算与分析

基于太阳电池正反向输出特性,建立光伏组件输出特性模型,针对遮挡状态下的多峰输出特性,提出一种模型参数计算方法,研究不同遮挡状态对I-V特性曲线和模型参数的影响作用。通过仿真和实验,分析组件中各单元所受遮挡光强和电池片遮挡数量的变化对模型参数的影响规律。研究结果表明：模型参数计算结果和基于模型参数获得的I-V特性曲线,有较高精度;所建立的组件输出特性模型和参数计算方法,对于实现光伏组件和组串的故障诊断,具有良好的工程应用前景。     

基于Matlab/Simulink的光伏电池输出特性仿真研究

在清洁能源飞速发展的今天,以太阳能为首的清洁能源已经成为了国内外研究的热点。本文采用Matlab/Simulink仿真模块,建立一种以太阳能光伏电池基本参数为基础的光伏电池数学模型,利用该模型能模拟在不同的太阳辐照度和工作温度下不同光伏模块的光伏电池P-U与I-U输出特性,仿真结果验证了此模型的准确性。     

基于高斯-赛德尔迭代法的光伏电池参数辨识与最大功率点基准曲线的研究

光伏电池的I-V输出特性包含超越方程。文章首先利用光伏生产商提供的标准条件下的数据手册,基于高斯-赛德尔迭代法,提出了一种新的模型参数求解方法;然后,根据模型参数与光照强度、温度之间的关系式,确定出任意环境条件下最大功率点的基准值(功率、电流、电压),并且给出了最大功率点基准曲线的绘制方法;最后,通过将实际光伏电站求得的基准值和实测数据进行比较,验证了方法在实际运用中具有可行性。     

热光伏发电系统水冷散热特性研究

设计了一套水冷散热器以控制光伏电池运行温度,研究了不同水流量下电池温度及散热器压力损失的变化规律和对应的光伏电池输出特性,实验表明:辐射器温度l 373K、冷却水流量为25 mL/s时,电池温度为302K,所设计的散热器可以有效控制光伏电池的温度;利用Fluent软件分析了导流片高度、导流片数目、冷却水进出口管径等结构参数对其性能的影响,计算表明:增大冷却水进出口管径可以有效的降低压力损失而不影响散热效果;数值模拟结果和实验结果比较吻合,验证了数值模拟方法的正确性.     

基于数据手册的光伏电池特性及参数实用估算方法

利用光伏电池数据手册提供的标准测试条件下的开路电压、短路电流、最大功率点电压和最大功率点电流,得到光伏电池的详细模型参数;提出一种光伏电池模型的等效并联电阻和串联电阻的估算新方法。利用数据手册中的光伏电池短路电流和开路电压温度系数,得到了任意光强和任意温度下的光伏电池模型。为降低求解隐函数模型方程的复杂性,采用近似方法求解隐函数超越方程,得到了光伏电池模型显函数表达式。通过与两种光伏电池在不同光强和温度下的测试数据及同类模型的比较,验证了所提出的模型及参数估算方法的正确性、有效性,具有较高的精度。     

A novel forecasting method based on the economic and demand response for FC/WT/PV unit and a 3 in 1 TES energy storage

Due to the lack of distribution resources and increasing demand in the daily market, the use of renewable resources is increasing. But renewable sources and market prices are uncertain behavior and cause economic problems. This paper introduces a novel market participation model include wind turbine, photovoltaic, fuel cell integrated with a novel hybrid TES energy storage system (3 in 1 concept) to minimize cost and improve load demand reliability. Also, to solve he mentioned problem a novel forecasting method are proposed. This model is a new multi artificial neural network based on the complete ensemble empirical mode decomposition which is coupled with Tanh function and using RMSE, MAPE and NMAE method the error rate of the proposed method is calculated. By using this method, the forecasting accuracy is improved and also with a novel energy storage the economic issue and market reliability are improved. Also, using the stochastic model the uncertainty system's behavior are modeled to obtain an accurate results of market participation and increase demand supply. Finally, a testing system includes wind turbine/photovoltaic/fuel cell/storage system and demand response are used to prove the superiority of the proposed model in comparison to other models.     

Simulated Annealing algorithm for photovoltaic parameters identification

A Simulated Annealing based approach is proposed in this paper for optimal estimation of solar cell model parameters. Different solar cell models, namely single diode, double diode, and photovoltaic module, are used in this study to verify the proposed approach outcomes. The developed technique is used to solve a transcendental function that governs the current–voltage relationship of a solar cell, as no direct general analytical solution exists. Several cases were investigated to test and validate the consistency of accurately estimating various parameters of different solar cell models. Comparative study among different parameter estimation techniques is presented to show the effectiveness of the developed approach. Furthermore, statistical analyses are carried out to measure the accuracy of the estimated parameters and model suitability.     

Parameter extraction of solar cell models based on adaptive differential evolution algorithm

In this paper, a new approach based on adaptive Differential Evolution Technique (DET) is used to extract the parameters of solar cell models accurately. The adaption is achieved through crossover and mutation factor. It is indicated that the optimization with an objective function can minimize the difference between the estimated and measured values. In order to verify the performance of the proposed system, three different solar cell models: single diode model, double diode model, and photovoltaic module are used to extract the parameters. The analysis is performed by using the voltage and current data sets. The result shows that the proposed DET outperforms these other methods: chaos particle swarm optimization (CPSO), genetic algorithm (GA), harmony search algorithm (HSA), and artificial bee swarm optimization (ABSO). Furthermore, the DET technique is practically validated by two different solar cell types such as monocrystalline and multi-crystalline and modules. The performance of solar cell models has been verified and the outcome shows that it is an optimal method which suits the parameter extraction of solar cells and modules.     

A stochastic method for stand-alone photovoltaic system sizing

Photovoltaic systems utilize solar energy to generate electrical energy to meet load demands. Optimal sizing of these systems includes the characterization of solar radiation. Solar radiation at the Earth’s surface has random characteristics and has been the focus of various academic studies. The objective of this study was to stochastically analyze parameters involved in the sizing of photovoltaic generators and develop a methodology for sizing of stand-alone photovoltaic systems. Energy storage for isolated systems and solar radiation were analyzed stochastically due to their random behavior. For the development of the methodology proposed stochastic analysis were studied including the Markov chain and beta probability density function. The obtained results were compared with those for sizing of stand-alone using from the Sandia method (deterministic), in which the stochastic model presented more reliable values. Both models present advantages and disadvantages, however, the stochastic one is more complex and provides more reliable and realistic results.     

基于混沌理论及PSO-LS-SVM的新能源出力短期预测方法

为减少新能源出力的不确定性对并网系统安全稳定的影响,提高新能源出力预测的精准度成为新能源系统所需解决的首要问题。以光伏系统为例,基于光伏出力时间序列的混沌特性,提出了一种基于混沌理论及最小二乘支持向量机的光伏出力短期预测模型。通过与实际数据和改进前模型进行对比,证明了该模型在光伏出力短期预测中的有效性。     

基于GA-GNNM的极地光伏发电功率预测方法

为了更加准确有效地对极地光伏发电功率做出预测,提出一种基于GA-GNNM的极地光伏发电功率预测方法.首先对采集到的气候因素数据以及光伏发电数据中缺失、异常部分进行清洗归一化处理;通过最大相关最小冗余算法(MRMR)选择最佳的气候特征组合,构建多维气候特征数据集;并将其输入到K均值聚类算法中完成不同季节天气类型聚类划分,...     

Anion exchange membrane fuel cell modelling

A parametric model predicting the performance of a solid polymer electrolyte, anion exchange membrane fuel cell (AEMFC), has been developed, in Matlab environment, based on interrelated electrical and thermal models. The electrical model proposed is developed by modelling an AEMFC open-circuit output voltage, irreversible voltage losses along with a mass balance, while the thermal model is based on the energy balance. The proposed model of the AEMFC stack estimates its dynamic behaviour, in particular the operating temperature variation for different discharge current values. The results of the theoretical fuel cell (FC) stack are reported and analysed in order to highlight the FC performance and how it varies by changing the values of some parameters such as temperature and pressure. Both the electrical and thermal FC models were validated by comparing the model results with experimental data and the results of other models found in the literature.     

基于ABC-SVM和PSO-RF的光伏微电网日发电功率组合预测方法研究

综合考虑气象因素,使用ABC-SVM方法,对历史的气象数据和光伏出力数据进行训练,依据发电量情况将气象数据分为4类;之后在4类气象情况下各选取上万条数据,使用PSO-RF模型分别训练每组数据,得到4个带不同参数的模型;最后根据每天的气象情况运行不同的模型。验证本组合方法之后发现,通过气象分类后得到的模型,可大幅提高光伏发电量预测的效果。     

Performance analysis of a photovoltaic heat pump

A novel heat pump system is proposed in that the PV/T collector is coupled with a solar assisted heat pump and works as an evaporator. The cooling effect of the refrigerant allows the PV modules to work at lower temperature and so its photovoltaic efficiency is improved. Mathematical model has been developed to analyze the complex energy conversion processes. Numerical simulation was then performed based on the distributed parameters approach. An experimental rig was also built to verify the real performance of the system as compared to the simulation model prediction. The results indicated that this photovoltaic solar assisted heat pump (PV-SAHP) has better coefficient of performance (COP) and photovoltaic efficiency than the separate units. Under the experimental conditions, the COP of the PV-SAHP reached 8.4 and the average value was around 6.5, whereas the average photovoltaic efficiency was around 13.4%. The experimental results were found in good agreement with the theoretical predictions on the system responses to changing environmental conditions.     

A simple model for sizing stand alone photovoltaic systems

We consider a general model for sizing a stand-alone photovoltaic system, using as energy input data the information available in any radiation atlas. The parameters of the model are estimated by multivariate linear regression. The results obtained from a numerical sizing method were used as initial input data to fit the model. The expression proposed allows us to determine the photovoltaic array size, with a coefficient of determination ranging from 0.94 to 0.98. System parameters and mean monthly values for daily global radiation on the solar modules surface are taken as independent variables in the model. It is also shown that the proposed model can be used with the same accuracy for other locations not considered in the estimation of the model.