This study proposes a fault detection algorithm based on the analysis of the theoretical curves which describe the behaviour of an existing grid-connected photovoltaic(GCPV)system.For a given set of working conditions...This study proposes a fault detection algorithm based on the analysis of the theoretical curves which describe the behaviour of an existing grid-connected photovoltaic(GCPV)system.For a given set of working conditions,a number of attributes such as voltage ratio(VR)and power ratio(PR)are simulated using virtual instrumentation LabVIEW software.Furthermore,a third-order polynomial function is used to generate two detection limits(high and low limits)for the VR and PR ratios.The high and low detection limits are compared with real-time long-term data measurements from a 1.1 kWp GCPV system installed at the University of Huddersfield,United Kingdom.Furthermore,samples that lie out of the detecting limits are processed by a fuzzy logic classification system which consists of two inputs(VR and PR)and one output membership function.The obtained results show that the fault detection algorithm accurately detects different faults occurring in the PV system.The maximum detection accuracy(DA)of the proposed algorithm before considering the fuzzy logic system is equal to 95.27%;however,the fault DA is increased up to a minimum value of 98.8%after considering the fuzzy logic system.展开更多
Solar radiation resources data are the foundation of knowledge for programs of large-scale deployment of solar energy technologies.This article summarizes the analysis of a new weather stations network in the United K...Solar radiation resources data are the foundation of knowledge for programs of large-scale deployment of solar energy technologies.This article summarizes the analysis of a new weather stations network in the United Kingdom.The analysis used three years(January 2015-December 2017)of data from 27 weather stations distributed across the country.The data comprises global horizontal irradiance(GHI),diffuse horizontal irradiance,direct normal irradiance and the ambient temperature.Network design,implementation and data quality assurance are described to document the network extent and quality.From all observed datasets,we found that Plymouth(located in southwest England)has the dominant GHI and ambient temperature among all other 26 locations.The least GHI is observed for Aberdeen(located in northeast Scotland)estimated at 77.3 kWh/m2.The least average ambient temperature is equal to 9.1℃;the data were detected by the weather station located in the capital of Scotland(Edinburgh).Although continued measurements are needed to understand the interannual resource variability,the current study should have significant applications for preliminary technology selection,power plant modeling and resource forecasting.展开更多
文摘This study proposes a fault detection algorithm based on the analysis of the theoretical curves which describe the behaviour of an existing grid-connected photovoltaic(GCPV)system.For a given set of working conditions,a number of attributes such as voltage ratio(VR)and power ratio(PR)are simulated using virtual instrumentation LabVIEW software.Furthermore,a third-order polynomial function is used to generate two detection limits(high and low limits)for the VR and PR ratios.The high and low detection limits are compared with real-time long-term data measurements from a 1.1 kWp GCPV system installed at the University of Huddersfield,United Kingdom.Furthermore,samples that lie out of the detecting limits are processed by a fuzzy logic classification system which consists of two inputs(VR and PR)and one output membership function.The obtained results show that the fault detection algorithm accurately detects different faults occurring in the PV system.The maximum detection accuracy(DA)of the proposed algorithm before considering the fuzzy logic system is equal to 95.27%;however,the fault DA is increased up to a minimum value of 98.8%after considering the fuzzy logic system.
文摘Solar radiation resources data are the foundation of knowledge for programs of large-scale deployment of solar energy technologies.This article summarizes the analysis of a new weather stations network in the United Kingdom.The analysis used three years(January 2015-December 2017)of data from 27 weather stations distributed across the country.The data comprises global horizontal irradiance(GHI),diffuse horizontal irradiance,direct normal irradiance and the ambient temperature.Network design,implementation and data quality assurance are described to document the network extent and quality.From all observed datasets,we found that Plymouth(located in southwest England)has the dominant GHI and ambient temperature among all other 26 locations.The least GHI is observed for Aberdeen(located in northeast Scotland)estimated at 77.3 kWh/m2.The least average ambient temperature is equal to 9.1℃;the data were detected by the weather station located in the capital of Scotland(Edinburgh).Although continued measurements are needed to understand the interannual resource variability,the current study should have significant applications for preliminary technology selection,power plant modeling and resource forecasting.
