Pub Date : 2019-07-01DOI: 10.1109/ICCEP.2019.8890134
L. Lancellotti, N. Lisi, P. D. Veneri, E. Bobeico, I. Matacena, P. Guerriero
This paper proposes an innovative technology for top contacting graphene-on-silicon Schottky solar cells, making use of graphite glue instead of the commonly used Ti/Au bilayer. Current-Voltage light characterization allow immediately to appreciate the advantage of the innovative contact evidencing the highest FF ever obtained in a graphene/Si solar cell with pristine (undoped) graphene and without graphene/silicon interlayer. To better understand the electrical behavior of our devices, solar cells realized either with gold contacts or with graphite contacts are compared by means of the impedance spectroscopy analysis too. It is shown that gold contacts give rise to strongly distorted impedance spectra and that such a distortion is due to the contact resistance. Conversely, graphite contacts result in extremely regular impedance spectra, as expected for ohmic behaving contacts.
{"title":"Graphene-on-Silicon solar cells with graphite contacts","authors":"L. Lancellotti, N. Lisi, P. D. Veneri, E. Bobeico, I. Matacena, P. Guerriero","doi":"10.1109/ICCEP.2019.8890134","DOIUrl":"https://doi.org/10.1109/ICCEP.2019.8890134","url":null,"abstract":"This paper proposes an innovative technology for top contacting graphene-on-silicon Schottky solar cells, making use of graphite glue instead of the commonly used Ti/Au bilayer. Current-Voltage light characterization allow immediately to appreciate the advantage of the innovative contact evidencing the highest FF ever obtained in a graphene/Si solar cell with pristine (undoped) graphene and without graphene/silicon interlayer. To better understand the electrical behavior of our devices, solar cells realized either with gold contacts or with graphite contacts are compared by means of the impedance spectroscopy analysis too. It is shown that gold contacts give rise to strongly distorted impedance spectra and that such a distortion is due to the contact resistance. Conversely, graphite contacts result in extremely regular impedance spectra, as expected for ohmic behaving contacts.","PeriodicalId":277718,"journal":{"name":"2019 International Conference on Clean Electrical Power (ICCEP)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132661932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/ICCEP.2019.8890110
Luis A. G. Gomez, L. F. N. Lourenço, M. Salles, A. Grilo, A. Sguarezi
The increase of the penetration levels of renewable energy sources (RES) in the interconnected grid poses a challenge for system operators. The variability inherent to RES such as wind power may cause key system parameters to trip outside of the allowable thresholds stablished by the grid codes. The objective of this work is to investigate the ability of wind farms equipped with Doubly Fed Induction Generators (DFIG) to participate in the primary frequency control of the grid. Three control strategies are implemented in the Rotor Side Converter (RSC) of the DFIG: inertia control, droop control and deloading and their performance are evaluated after a frequency disturbance occurs. For each of the considered strategies, multiple parameters were tested to identify how each strategy impacts the electric grid. The resulting analysis helps to determine if it is possible to perform the primary frequency control of an interconnected grid with RES.
{"title":"Frequency Support of Grid Connected Wind Turbine Based-DFIG","authors":"Luis A. G. Gomez, L. F. N. Lourenço, M. Salles, A. Grilo, A. Sguarezi","doi":"10.1109/ICCEP.2019.8890110","DOIUrl":"https://doi.org/10.1109/ICCEP.2019.8890110","url":null,"abstract":"The increase of the penetration levels of renewable energy sources (RES) in the interconnected grid poses a challenge for system operators. The variability inherent to RES such as wind power may cause key system parameters to trip outside of the allowable thresholds stablished by the grid codes. The objective of this work is to investigate the ability of wind farms equipped with Doubly Fed Induction Generators (DFIG) to participate in the primary frequency control of the grid. Three control strategies are implemented in the Rotor Side Converter (RSC) of the DFIG: inertia control, droop control and deloading and their performance are evaluated after a frequency disturbance occurs. For each of the considered strategies, multiple parameters were tested to identify how each strategy impacts the electric grid. The resulting analysis helps to determine if it is possible to perform the primary frequency control of an interconnected grid with RES.","PeriodicalId":277718,"journal":{"name":"2019 International Conference on Clean Electrical Power (ICCEP)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134477750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/ICCEP.2019.8890126
A. Cervone, D. D. Simone
The paper presents a novel sliding mode controller for a bidirectional boost converter. The proposed sliding surface has been analytically derived from the mathematical model of the structure and is guaranteed to be attractive and stable. Contrarily to other sliding mode strategies presented in the technical literature, the approach considers a combination of both the state variables of the converter. The corresponding control input can be easily supplied trough a standard pulse width modulation technique, guarantying a priori known maximum switching frequency and avoiding any insurgence of chattering. The critical point of the proposed control technique is represented by an explicit dependence on load resistance, which is easily solved with a simple online load estimation. The approach has been validated numerically and compared with a state-of-the-art sliding controller.
{"title":"A novel sliding mode controller for DC-DC Boost converters","authors":"A. Cervone, D. D. Simone","doi":"10.1109/ICCEP.2019.8890126","DOIUrl":"https://doi.org/10.1109/ICCEP.2019.8890126","url":null,"abstract":"The paper presents a novel sliding mode controller for a bidirectional boost converter. The proposed sliding surface has been analytically derived from the mathematical model of the structure and is guaranteed to be attractive and stable. Contrarily to other sliding mode strategies presented in the technical literature, the approach considers a combination of both the state variables of the converter. The corresponding control input can be easily supplied trough a standard pulse width modulation technique, guarantying a priori known maximum switching frequency and avoiding any insurgence of chattering. The critical point of the proposed control technique is represented by an explicit dependence on load resistance, which is easily solved with a simple online load estimation. The approach has been validated numerically and compared with a state-of-the-art sliding controller.","PeriodicalId":277718,"journal":{"name":"2019 International Conference on Clean Electrical Power (ICCEP)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114960606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/ICCEP.2019.8890206
A. D. Di Fazio, M. Russo, G. Pisano, M. Santis
Renewable energy sources have reached such a high penetration level that significantly impacts on power system operation, in particular for medium and low voltage distribution systems where the vast majority of renewable energy generators are being connected. To cope with such an impact, higher levels of flexibility must be introduced in system operation, so as to avoid massive infrastructural investments to reinforce the network, and to assure system stability and security of supply. Introducing flexibility of both demand and distributed generation is the key to make distribution systems smarter. The installation of energy storage systems, for their inherent operational characteristics, may further favor this process. In this paper the flexibility potentially offered by distributed energy resources (DERs), that are active demand, distributed generators and energy storage systems, is properly modeled and exploited to tackle voltage regulation issues. In particular, the network is partitioned into zones to identify a limited number of pilot nodes whose voltage deviations are monitored and then minimized using a specific optimization function by acting on the flexibility offered by DERs. For demonstrating the effectiveness of the proposed approach, the optimization function has been applied to a 24-nodes LV network in different operating conditions.
{"title":"A centralized voltage optimization function exploiting DERs for distribution systems","authors":"A. D. Di Fazio, M. Russo, G. Pisano, M. Santis","doi":"10.1109/ICCEP.2019.8890206","DOIUrl":"https://doi.org/10.1109/ICCEP.2019.8890206","url":null,"abstract":"Renewable energy sources have reached such a high penetration level that significantly impacts on power system operation, in particular for medium and low voltage distribution systems where the vast majority of renewable energy generators are being connected. To cope with such an impact, higher levels of flexibility must be introduced in system operation, so as to avoid massive infrastructural investments to reinforce the network, and to assure system stability and security of supply. Introducing flexibility of both demand and distributed generation is the key to make distribution systems smarter. The installation of energy storage systems, for their inherent operational characteristics, may further favor this process. In this paper the flexibility potentially offered by distributed energy resources (DERs), that are active demand, distributed generators and energy storage systems, is properly modeled and exploited to tackle voltage regulation issues. In particular, the network is partitioned into zones to identify a limited number of pilot nodes whose voltage deviations are monitored and then minimized using a specific optimization function by acting on the flexibility offered by DERs. For demonstrating the effectiveness of the proposed approach, the optimization function has been applied to a 24-nodes LV network in different operating conditions.","PeriodicalId":277718,"journal":{"name":"2019 International Conference on Clean Electrical Power (ICCEP)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124670586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/ICCEP.2019.8890086
S. Djokic, M. Zou, D. Fang, V. D. Giorgio, R. Langella, A. Testa
This paper analyses importance of correlating wind speed (WS) and wind direction (WD) for a more confident evaluation of uncertainty in wind turbine (WT) power output ($mathrm {P}_{mathrm {o}mathrm {u}mathrm {t}}$). Using the available measurements of actual WTs, the paper first presents a new model for the analysis of the $mathrm {P}_{mathrm {o}mathrm {u}mathrm {t}}$-WS-WD correlations, based on Gaussian mixture Copula model (GMCM) and vine Copula (i.e., vine-GMCM framework). Afterwards, the paper compares results of a two-dimensional $mathrm {P}_{mathrm {o}mathrm {u}mathrm {t}}$-WS-WD model, previously proposed by some of the authors, with the cross-correlated three-dimensional $mathrm {P}_{mathrm {o}mathrm {u}mathrm {t}}$-WS-WD model, demonstrating that the ranges of variations of $mathrm {P}_{mathrm {o}mathrm {u}mathrm {t}}$ can be better modelled by considering not only wind speed, but also wind direction.
{"title":"On the Importance of Correlating Wind Speed and Wind Direction for Evaluating Uncertainty in Wind Turbine Power Output","authors":"S. Djokic, M. Zou, D. Fang, V. D. Giorgio, R. Langella, A. Testa","doi":"10.1109/ICCEP.2019.8890086","DOIUrl":"https://doi.org/10.1109/ICCEP.2019.8890086","url":null,"abstract":"This paper analyses importance of correlating wind speed (WS) and wind direction (WD) for a more confident evaluation of uncertainty in wind turbine (WT) power output ($mathrm {P}_{mathrm {o}mathrm {u}mathrm {t}}$). Using the available measurements of actual WTs, the paper first presents a new model for the analysis of the $mathrm {P}_{mathrm {o}mathrm {u}mathrm {t}}$-WS-WD correlations, based on Gaussian mixture Copula model (GMCM) and vine Copula (i.e., vine-GMCM framework). Afterwards, the paper compares results of a two-dimensional $mathrm {P}_{mathrm {o}mathrm {u}mathrm {t}}$-WS-WD model, previously proposed by some of the authors, with the cross-correlated three-dimensional $mathrm {P}_{mathrm {o}mathrm {u}mathrm {t}}$-WS-WD model, demonstrating that the ranges of variations of $mathrm {P}_{mathrm {o}mathrm {u}mathrm {t}}$ can be better modelled by considering not only wind speed, but also wind direction.","PeriodicalId":277718,"journal":{"name":"2019 International Conference on Clean Electrical Power (ICCEP)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126490991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/ICCEP.2019.8890101
Seyed Iman Taheri, M. Salles
Placement of Distributed Generators (DGs) can improve power quality characteristics of the distribution system. This paper presents a multi-objective modified-teaching-learning-based-optimization (MOTLBO) algorithm to the placement of DGs in a distribution system. Three objective functions are considered which are optimization of voltage profile and minimization of losses and cost of the distribution system. Two kinds of DGs which are photovoltaic units and fuel cell units are considered in this paper because they represent an established technology (photovoltaic) and a promising one (fuel cell). The original teaching-learning-based-optimization (TLBO) algorithm is modified in teaching and learning phases for improving the accuracy and convergence velocity of TLBO. The suggested algorithm is executed on a 70-bus-radial-distribution-system in comparison with other evolutionary methods. The superiority of the proposed algorithm is its accuracy and calculation velocity.
{"title":"A New Modification for TLBO Algorithm to Placement of Distributed Generation","authors":"Seyed Iman Taheri, M. Salles","doi":"10.1109/ICCEP.2019.8890101","DOIUrl":"https://doi.org/10.1109/ICCEP.2019.8890101","url":null,"abstract":"Placement of Distributed Generators (DGs) can improve power quality characteristics of the distribution system. This paper presents a multi-objective modified-teaching-learning-based-optimization (MOTLBO) algorithm to the placement of DGs in a distribution system. Three objective functions are considered which are optimization of voltage profile and minimization of losses and cost of the distribution system. Two kinds of DGs which are photovoltaic units and fuel cell units are considered in this paper because they represent an established technology (photovoltaic) and a promising one (fuel cell). The original teaching-learning-based-optimization (TLBO) algorithm is modified in teaching and learning phases for improving the accuracy and convergence velocity of TLBO. The suggested algorithm is executed on a 70-bus-radial-distribution-system in comparison with other evolutionary methods. The superiority of the proposed algorithm is its accuracy and calculation velocity.","PeriodicalId":277718,"journal":{"name":"2019 International Conference on Clean Electrical Power (ICCEP)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127918547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/ICCEP.2019.8890072
D. Meco, A. Dolara, M. Longo, W. Yaici
The increasing diffusion of Electric Vehicles (EVs) is driving academic and institutional research towards exploring different possible ways of charging vehicles in a fast, reliable and safe way. For this reason, wireless power transfer systems have recently been receiving a lot of attention in the academic literature.This paper reviews the main analytic and computational tools that are typically used to perform analyses in the context of inductive power transfer systems. First, a selection of analytic models and numerical methods is analysed in detail, with a focus on the most widely used tools as well as some recent innovations.
{"title":"State of the Art on Modelling Inductive Power Transfer for EVs","authors":"D. Meco, A. Dolara, M. Longo, W. Yaici","doi":"10.1109/ICCEP.2019.8890072","DOIUrl":"https://doi.org/10.1109/ICCEP.2019.8890072","url":null,"abstract":"The increasing diffusion of Electric Vehicles (EVs) is driving academic and institutional research towards exploring different possible ways of charging vehicles in a fast, reliable and safe way. For this reason, wireless power transfer systems have recently been receiving a lot of attention in the academic literature.This paper reviews the main analytic and computational tools that are typically used to perform analyses in the context of inductive power transfer systems. First, a selection of analytic models and numerical methods is analysed in detail, with a focus on the most widely used tools as well as some recent innovations.","PeriodicalId":277718,"journal":{"name":"2019 International Conference on Clean Electrical Power (ICCEP)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124551057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/ICCEP.2019.8890136
A. Femández-Guillamón, Á. Molina-García, A. Vigueras-Rodríguez, E. Gómez-Lázaro
In most of power systems, inertia has been usually estimated by considering only the rotating masses directly connected to the grid. However, the relevant integration of renewable energy sources into power systems, mainly wind and PV power plants decoupled from the grid by electronic converters, is decreasing the grid inertia and then affecting considerably both grid stability and reliability analysis. An alternative supply-side framework can be thus identified, where traditional generation is replaced by renewable energy sources. As an example of this integration process, renewables overtake coal and nuclear in EU for the first time during 2017. Under this new framework with a lack of rotating masses directly connected to the grid, terms such as ‘Hidden inertia’, ‘Synthetic inertia’ or ‘Virtual inertia’ are currently under discussion. Moreover, alternative spinning reserves must be also considered and included in power sytems to maintain power system reliability and stability. A detailed analysis to estimate the effect of low inertia parameter for frequency control purposes is discussed in this paper. Different scenarios are simulated and analysed, taking into account high wind energy integration, demand variations and frequency oscillations.
{"title":"Frequency Response and Inertia Analysis in Power Systems with High Wind Energy Integration","authors":"A. Femández-Guillamón, Á. Molina-García, A. Vigueras-Rodríguez, E. Gómez-Lázaro","doi":"10.1109/ICCEP.2019.8890136","DOIUrl":"https://doi.org/10.1109/ICCEP.2019.8890136","url":null,"abstract":"In most of power systems, inertia has been usually estimated by considering only the rotating masses directly connected to the grid. However, the relevant integration of renewable energy sources into power systems, mainly wind and PV power plants decoupled from the grid by electronic converters, is decreasing the grid inertia and then affecting considerably both grid stability and reliability analysis. An alternative supply-side framework can be thus identified, where traditional generation is replaced by renewable energy sources. As an example of this integration process, renewables overtake coal and nuclear in EU for the first time during 2017. Under this new framework with a lack of rotating masses directly connected to the grid, terms such as ‘Hidden inertia’, ‘Synthetic inertia’ or ‘Virtual inertia’ are currently under discussion. Moreover, alternative spinning reserves must be also considered and included in power sytems to maintain power system reliability and stability. A detailed analysis to estimate the effect of low inertia parameter for frequency control purposes is discussed in this paper. Different scenarios are simulated and analysed, taking into account high wind energy integration, demand variations and frequency oscillations.","PeriodicalId":277718,"journal":{"name":"2019 International Conference on Clean Electrical Power (ICCEP)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122441467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/ICCEP.2019.8890148
E. Chiodo, D. Lauria, F. Mottola, N. Andrenacci
This paper proposes a new methodological approach in the field of studies devoted to proper and accurate selection of a reliability model for battery systems. The study is performed with particular emphasis on the modeling and estimation of the Conditional Reliability Function, conceived as a key analytical tool in predicting the “Remaining useful life” of the battery, which is in turn an important information in order to identify the best maintenance strategy selection, or for inspection optimization, and also spare parts provision. Estimation of the Conditional Reliability Function is developed by means of a method based on the Inverse Gaussian Distribution and its Bayes Estimation. The performances of this estimation are developed and validated by means of extensive simulations and available experimental data. A brief account is reported of robustness analyses of the method with respect to the assumed prior Distribution.
{"title":"Battery Conditional Reliability Function Under an Inverse Gaussian model and its Bayes Estimation","authors":"E. Chiodo, D. Lauria, F. Mottola, N. Andrenacci","doi":"10.1109/ICCEP.2019.8890148","DOIUrl":"https://doi.org/10.1109/ICCEP.2019.8890148","url":null,"abstract":"This paper proposes a new methodological approach in the field of studies devoted to proper and accurate selection of a reliability model for battery systems. The study is performed with particular emphasis on the modeling and estimation of the Conditional Reliability Function, conceived as a key analytical tool in predicting the “Remaining useful life” of the battery, which is in turn an important information in order to identify the best maintenance strategy selection, or for inspection optimization, and also spare parts provision. Estimation of the Conditional Reliability Function is developed by means of a method based on the Inverse Gaussian Distribution and its Bayes Estimation. The performances of this estimation are developed and validated by means of extensive simulations and available experimental data. A brief account is reported of robustness analyses of the method with respect to the assumed prior Distribution.","PeriodicalId":277718,"journal":{"name":"2019 International Conference on Clean Electrical Power (ICCEP)","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122523821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-01DOI: 10.1109/ICCEP.2019.8890090
R. Alberdi, I. Albizu, E. Fernandez, M. Bedialauneta, R. Fernandez, A. Mazón
Actual rating of the lines is important information for system operators. Dynamic line rating systems provide this information. The ampacity of the line it is related to the conductor temperature. This temperature can be calculated from meteorological measurements or by means of a Temperature Measurement System. Three different weather monitoring systems and one Temperature Measurement System have been installed along an overhead power line. These systems allow quantifying the uncertainty due to the spatial variability.
{"title":"Wind Speed Effect on the Conductor Temperature of a Distribution Line","authors":"R. Alberdi, I. Albizu, E. Fernandez, M. Bedialauneta, R. Fernandez, A. Mazón","doi":"10.1109/ICCEP.2019.8890090","DOIUrl":"https://doi.org/10.1109/ICCEP.2019.8890090","url":null,"abstract":"Actual rating of the lines is important information for system operators. Dynamic line rating systems provide this information. The ampacity of the line it is related to the conductor temperature. This temperature can be calculated from meteorological measurements or by means of a Temperature Measurement System. Three different weather monitoring systems and one Temperature Measurement System have been installed along an overhead power line. These systems allow quantifying the uncertainty due to the spatial variability.","PeriodicalId":277718,"journal":{"name":"2019 International Conference on Clean Electrical Power (ICCEP)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114679296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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