Pub Date : 2023-11-01DOI: 10.1109/JPHOTOV.2023.3309008
Wenchao Miao;Yanfang Luo;Fei Wang;Chaoqiang Jiang
Photovoltaic (PV) system has been widely used to reduce the consumption of fossil fuels and environmental pollution. The PV system is susceptible to line-to-ground (LG) and line-to-line (LL) faults due to equipment aging and insulation damage. The LG and LL faults will lead to malfunction and even catastrophic fire hazards in a PV system. Usually, there are protection devices. However, the operation of the maximum power point tracking controller and the effect of partial shading will lower the fault current to be unable to trigger the protection devices. Thus, it is difficult to detect and locate the faults accurately. It is necessary to study the characteristics of LG and LL faults for fault detection. This article determines the voltage characteristics of the LG and LL faults with the consideration of fault impedance and partial shading. The fault detection and location algorithm based on fault voltage behavior is established and developed on MATLAB. According to the simulation and experimental results, the proposed technique can detect and locate the LG and LL faults effectively despite the effects of fault impedance and partial shading in a PV system.
{"title":"Fault Detection and Location Algorithm by Voltage Characteristics for PV System","authors":"Wenchao Miao;Yanfang Luo;Fei Wang;Chaoqiang Jiang","doi":"10.1109/JPHOTOV.2023.3309008","DOIUrl":"https://doi.org/10.1109/JPHOTOV.2023.3309008","url":null,"abstract":"Photovoltaic (PV) system has been widely used to reduce the consumption of fossil fuels and environmental pollution. The PV system is susceptible to line-to-ground (LG) and line-to-line (LL) faults due to equipment aging and insulation damage. The LG and LL faults will lead to malfunction and even catastrophic fire hazards in a PV system. Usually, there are protection devices. However, the operation of the maximum power point tracking controller and the effect of partial shading will lower the fault current to be unable to trigger the protection devices. Thus, it is difficult to detect and locate the faults accurately. It is necessary to study the characteristics of LG and LL faults for fault detection. This article determines the voltage characteristics of the LG and LL faults with the consideration of fault impedance and partial shading. The fault detection and location algorithm based on fault voltage behavior is established and developed on MATLAB. According to the simulation and experimental results, the proposed technique can detect and locate the LG and LL faults effectively despite the effects of fault impedance and partial shading in a PV system.","PeriodicalId":445,"journal":{"name":"IEEE Journal of Photovoltaics","volume":"13 6","pages":"968-978"},"PeriodicalIF":3.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71903002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-01DOI: 10.1109/JPHOTOV.2023.3306073
Qing Xiong, A. Gattozzi, Xianyong Feng, Charles E. Penney, Chen Zhang, S. Ji, S. Strank, R. Hebner
Photovoltaic systems provide electrical power with reduced emissions at competitive costs compared to legacy systems. A low or medium voltage dc distribution system is usually used for solar integration. In dc systems, parallel and series arc faults are a safety concern. Thus, reliable and timely detection and mitigation of arc faults are critical. DC arc detection methods typically use time or frequency spectrum variations of the circuit current or voltage to differentiate the arcing event from other system events. Since practical systems include power electronics and maximum-power-point tracking, any detection scheme must perform robustly in the electrical environment that these components establish in the dc power system. A capacitor placed in parallel with the main system is an effective sensor for series arc fault detection and localization applicable in this complex electrical environment. This article shows that the analysis of the amplitude, polarity, and spectrum characteristics of the capacitor current and voltage resulting from perturbations caused by the arc provides an effective method to identify and localize faults. The detection accuracy of the proposed approach is 98.3% and the localization accuracy rate is 100% for the correctly detected faults.
{"title":"Development of a Fault Detection and Localization Algorithm for Photovoltaic Systems","authors":"Qing Xiong, A. Gattozzi, Xianyong Feng, Charles E. Penney, Chen Zhang, S. Ji, S. Strank, R. Hebner","doi":"10.1109/JPHOTOV.2023.3306073","DOIUrl":"https://doi.org/10.1109/JPHOTOV.2023.3306073","url":null,"abstract":"Photovoltaic systems provide electrical power with reduced emissions at competitive costs compared to legacy systems. A low or medium voltage dc distribution system is usually used for solar integration. In dc systems, parallel and series arc faults are a safety concern. Thus, reliable and timely detection and mitigation of arc faults are critical. DC arc detection methods typically use time or frequency spectrum variations of the circuit current or voltage to differentiate the arcing event from other system events. Since practical systems include power electronics and maximum-power-point tracking, any detection scheme must perform robustly in the electrical environment that these components establish in the dc power system. A capacitor placed in parallel with the main system is an effective sensor for series arc fault detection and localization applicable in this complex electrical environment. This article shows that the analysis of the amplitude, polarity, and spectrum characteristics of the capacitor current and voltage resulting from perturbations caused by the arc provides an effective method to identify and localize faults. The detection accuracy of the proposed approach is 98.3% and the localization accuracy rate is 100% for the correctly detected faults.","PeriodicalId":445,"journal":{"name":"IEEE Journal of Photovoltaics","volume":"1 1","pages":"958-967"},"PeriodicalIF":3.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91281366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-01DOI: 10.1109/JPHOTOV.2023.3308259
Angelos I. Nousdilis, G. Kryonidis, T. Papadopoulos
The intermittent and volatile nature of renewable energy sources (RESs) has introduced new technical challenges that affect the secure and reliable grid operation. These challenges can be tackled at the RES level by reducing power fluctuations with the use of power smoothing (PS) techniques. Several PS methods have been proposed in the literature to smooth RES output exploiting battery energy storage systems (BESSs). However, a comprehensive comparative evaluation of PS methods is missing. Moreover, the effect of the long-term PS operation on the BESS life is usually ignored in such analyses. This article proposes a methodology for the systematic evaluation of well-established PS techniques, comparing their effectiveness on the PS of photovoltaic output based on various signal metrics. In addition, an accurate aging model for lithium-ion batteries is employed to investigate the impact of PS on the BESS lifetime, highlighting the main parameters that influence capacity degradation.
{"title":"Comparative Evaluation of Solar Power Smoothing Techniques Considering Battery Degradation","authors":"Angelos I. Nousdilis, G. Kryonidis, T. Papadopoulos","doi":"10.1109/JPHOTOV.2023.3308259","DOIUrl":"https://doi.org/10.1109/JPHOTOV.2023.3308259","url":null,"abstract":"The intermittent and volatile nature of renewable energy sources (RESs) has introduced new technical challenges that affect the secure and reliable grid operation. These challenges can be tackled at the RES level by reducing power fluctuations with the use of power smoothing (PS) techniques. Several PS methods have been proposed in the literature to smooth RES output exploiting battery energy storage systems (BESSs). However, a comprehensive comparative evaluation of PS methods is missing. Moreover, the effect of the long-term PS operation on the BESS life is usually ignored in such analyses. This article proposes a methodology for the systematic evaluation of well-established PS techniques, comparing their effectiveness on the PS of photovoltaic output based on various signal metrics. In addition, an accurate aging model for lithium-ion batteries is employed to investigate the impact of PS on the BESS lifetime, highlighting the main parameters that influence capacity degradation.","PeriodicalId":445,"journal":{"name":"IEEE Journal of Photovoltaics","volume":"69 1","pages":"951-957"},"PeriodicalIF":3.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75990061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-01DOI: 10.1109/JPHOTOV.2023.3301674
Ilaria Matacena;Laura Lancellotti;Santolo Daliento;Brigida Alfano;Antonella De Maria;Vera La Ferrara;Lucia V. Mercaldo;Maria Lucia Miglietta;Tiziana Polichetti;Gabriella Rametta;Gennaro V. Sannino;Paola Delli Veneri;Pierluigi Guerriero
Characterizing the electron transport layer (ETL)/perovskite interface in perovskite solar cells (PSCs) is of paramount importance for their overall performance. In this article the effect of different concentrations of graphene nanoplatelets in addition to SnO2 is investigated by considering degradation over time. PSCs behavior is monitored by collecting dark current–voltage curves as fabricated and after two months. A deeper insight is gained through impedance spectroscopy analysis. From Nyquist plots equivalent circuit models and the corresponding time constants are extracted. Moreover, resistive part of the impedance associated with high frequency has been related to static shunt resistance, assessing one of the considered ETL doping concentration as the more suitable choice to reduce degradation.
{"title":"Impedance Spectroscopy of Perovskite Solar Cells With SnO2 Embedding Graphene Nanoplatelets","authors":"Ilaria Matacena;Laura Lancellotti;Santolo Daliento;Brigida Alfano;Antonella De Maria;Vera La Ferrara;Lucia V. Mercaldo;Maria Lucia Miglietta;Tiziana Polichetti;Gabriella Rametta;Gennaro V. Sannino;Paola Delli Veneri;Pierluigi Guerriero","doi":"10.1109/JPHOTOV.2023.3301674","DOIUrl":"https://doi.org/10.1109/JPHOTOV.2023.3301674","url":null,"abstract":"Characterizing the electron transport layer (ETL)/perovskite interface in perovskite solar cells (PSCs) is of paramount importance for their overall performance. In this article the effect of different concentrations of graphene nanoplatelets in addition to SnO2 is investigated by considering degradation over time. PSCs behavior is monitored by collecting dark current–voltage curves as fabricated and after two months. A deeper insight is gained through impedance spectroscopy analysis. From Nyquist plots equivalent circuit models and the corresponding time constants are extracted. Moreover, resistive part of the impedance associated with high frequency has been related to static shunt resistance, assessing one of the considered ETL doping concentration as the more suitable choice to reduce degradation.","PeriodicalId":445,"journal":{"name":"IEEE Journal of Photovoltaics","volume":"13 6","pages":"866-872"},"PeriodicalIF":3.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71902906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}