Pub Date : 2014-10-23DOI: 10.1109/UPEC.2014.6934602
Dongmin Yu, Bo Lian, R. Dunn, S. Le Blond
In this paper, multi-carrier energy system (MCES) optimization problem is solved by using Similar Decoupled Form (SDF) energy hub modeling. Compared with the traditional energy hub modeling method, the Similar Decoupled Form modelling method improves flexibility and automation of the energy hub system. More importantly, energy hub does not need to be linear when using this method. In other words, the limitations of SDF are greatly reduced and it can be used in a more general energy system with energy storage equipment. This method can be used to analyze power flow from both sides of the energy hub (input side and output side) and the stability of the energy hub system. Finally, SDF shows the dynamic change of the energy hub system rather than only the result of mathematical optimization.
{"title":"Using control methods to model energy hub systems","authors":"Dongmin Yu, Bo Lian, R. Dunn, S. Le Blond","doi":"10.1109/UPEC.2014.6934602","DOIUrl":"https://doi.org/10.1109/UPEC.2014.6934602","url":null,"abstract":"In this paper, multi-carrier energy system (MCES) optimization problem is solved by using Similar Decoupled Form (SDF) energy hub modeling. Compared with the traditional energy hub modeling method, the Similar Decoupled Form modelling method improves flexibility and automation of the energy hub system. More importantly, energy hub does not need to be linear when using this method. In other words, the limitations of SDF are greatly reduced and it can be used in a more general energy system with energy storage equipment. This method can be used to analyze power flow from both sides of the energy hub (input side and output side) and the stability of the energy hub system. Finally, SDF shows the dynamic change of the energy hub system rather than only the result of mathematical optimization.","PeriodicalId":414838,"journal":{"name":"2014 49th International Universities Power Engineering Conference (UPEC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125475072","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 : 2014-10-23DOI: 10.1109/UPEC.2014.6934751
A. Haque, P. Nguyen, W. Kling, F. Bliek
The accelerating use of Distributed Energy Resources (DERs) and new forms of loads connected in the Medium Voltage (MV) and Low Voltage (LV) networks are posing a great challenge for the Distribution System Operators (DSOs) in the near future. The bidirectional and uncertain flow of power may result in congestions at certain points in the distribution network. Consequently, assets are overloaded; voltage deviations can occur and cascading failures may take place. Therefore, the DSOs are compelled to investigate and optimize their asset investment cost by introducing smart grid functionalities in order to mitigate investments. Out of a number of alternatives, congestion management is one of the most promising strategies to deal with the network issues. Congestion management schemes have traditionally been treated in the transmission system level. But with the widespread use of Distributed Generators (DGs) and expected severe loading conditions, the management procedure will have to be applied in the distribution network as well. This paper discusses the need and possibility of congestion management in a smart distribution network.
{"title":"Congestion management in smart distribution network","authors":"A. Haque, P. Nguyen, W. Kling, F. Bliek","doi":"10.1109/UPEC.2014.6934751","DOIUrl":"https://doi.org/10.1109/UPEC.2014.6934751","url":null,"abstract":"The accelerating use of Distributed Energy Resources (DERs) and new forms of loads connected in the Medium Voltage (MV) and Low Voltage (LV) networks are posing a great challenge for the Distribution System Operators (DSOs) in the near future. The bidirectional and uncertain flow of power may result in congestions at certain points in the distribution network. Consequently, assets are overloaded; voltage deviations can occur and cascading failures may take place. Therefore, the DSOs are compelled to investigate and optimize their asset investment cost by introducing smart grid functionalities in order to mitigate investments. Out of a number of alternatives, congestion management is one of the most promising strategies to deal with the network issues. Congestion management schemes have traditionally been treated in the transmission system level. But with the widespread use of Distributed Generators (DGs) and expected severe loading conditions, the management procedure will have to be applied in the distribution network as well. This paper discusses the need and possibility of congestion management in a smart distribution network.","PeriodicalId":414838,"journal":{"name":"2014 49th International Universities Power Engineering Conference (UPEC)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129130909","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 : 2014-10-23DOI: 10.1109/UPEC.2014.6934738
G. Ye, V. Ćuk, J. Cobben, W. Kling
This paper presents the results of the analysis on the influence of different RMS calculation methods to the detection and characterization of voltage dips. The analytical calculation of measurement parameters for voltage dips and the systematic deviations in characterization due to the dip detection algorithms are discussed for the general RMS calculation methods, sliding window and half cycle methods. Stochastic processes are carried out with different fault types, fault locations and event occurring instants in a real medium voltage network, an evaluation study is presented with the statistic results.
{"title":"Influence of RMS calculation methods on the measurement of voltage dips","authors":"G. Ye, V. Ćuk, J. Cobben, W. Kling","doi":"10.1109/UPEC.2014.6934738","DOIUrl":"https://doi.org/10.1109/UPEC.2014.6934738","url":null,"abstract":"This paper presents the results of the analysis on the influence of different RMS calculation methods to the detection and characterization of voltage dips. The analytical calculation of measurement parameters for voltage dips and the systematic deviations in characterization due to the dip detection algorithms are discussed for the general RMS calculation methods, sliding window and half cycle methods. Stochastic processes are carried out with different fault types, fault locations and event occurring instants in a real medium voltage network, an evaluation study is presented with the statistic results.","PeriodicalId":414838,"journal":{"name":"2014 49th International Universities Power Engineering Conference (UPEC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129508931","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 : 2014-10-23DOI: 10.1109/UPEC.2014.6934659
K. Kikuchi, T. Nanahara
Photovoltaic power generation systems (PVs) are significantly increasing in recent years. On the other hand, large-scale penetration of PVs causes concerns in keeping supply-and-demand balance of a power system because output power of PVs shows considerable fluctuations due to weather conditions. To assess the impacts on the balance, fluctuation characteristics of PVs should be examined for the case of large-scale penetration of PVs. Since the fluctuations of total output of many PVs dispersed across an area are dominated by smoothing effects, it is essential to figure out the factors that govern the smoothing effects. This paper proposes a method to analyze solar irradiance data with an autocorrelation function to examine their fluctuation characteristic. Applying the method to the solar irradiance data measured at an observation site within one kilometer for four seasons, the paper discusses the relationship between the fluctuations of solar irradiances and the smoothing effects. The results implicate that horizontal scale of clouds governs the smoothing effects.
{"title":"Study on smoothing effects of PV outputs — Method with autocorrelation function","authors":"K. Kikuchi, T. Nanahara","doi":"10.1109/UPEC.2014.6934659","DOIUrl":"https://doi.org/10.1109/UPEC.2014.6934659","url":null,"abstract":"Photovoltaic power generation systems (PVs) are significantly increasing in recent years. On the other hand, large-scale penetration of PVs causes concerns in keeping supply-and-demand balance of a power system because output power of PVs shows considerable fluctuations due to weather conditions. To assess the impacts on the balance, fluctuation characteristics of PVs should be examined for the case of large-scale penetration of PVs. Since the fluctuations of total output of many PVs dispersed across an area are dominated by smoothing effects, it is essential to figure out the factors that govern the smoothing effects. This paper proposes a method to analyze solar irradiance data with an autocorrelation function to examine their fluctuation characteristic. Applying the method to the solar irradiance data measured at an observation site within one kilometer for four seasons, the paper discusses the relationship between the fluctuations of solar irradiances and the smoothing effects. The results implicate that horizontal scale of clouds governs the smoothing effects.","PeriodicalId":414838,"journal":{"name":"2014 49th International Universities Power Engineering Conference (UPEC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129871352","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 : 2014-10-23DOI: 10.1109/UPEC.2014.6934592
Norbert Penner, A. Bettiol, Jair André Cortina, L. F. D. N. Passos, A. Carniato, Rodolfo Martín
There are basically two kinds of losses in electrical distribution systems: the technical and non-technical losses. Technical losses are represented by ohmic losses (i.e., by Joule effect) and they are not registered by the energy meters. They are estimated during the design and construction phase of power distribution networks and regarded as operating costs by the power utilities. Sometimes, however, billing records show a much higher loss level than the estimated technical losses, due to illegal connections and energy meters tampering (frauds). The installation of a metering equipment on the distribution transformers can aid in identifying the illegal connections or tampered energy meters. This equipment is connected to the lower voltage side of the transformers and its metering data is compared to the data of the consumer's energy meters powered by this transformer, thus helping in locating the possible fraud points.
{"title":"Equipment for monitoring and combating of non-technical losses in distribution networks: Design and preliminary results","authors":"Norbert Penner, A. Bettiol, Jair André Cortina, L. F. D. N. Passos, A. Carniato, Rodolfo Martín","doi":"10.1109/UPEC.2014.6934592","DOIUrl":"https://doi.org/10.1109/UPEC.2014.6934592","url":null,"abstract":"There are basically two kinds of losses in electrical distribution systems: the technical and non-technical losses. Technical losses are represented by ohmic losses (i.e., by Joule effect) and they are not registered by the energy meters. They are estimated during the design and construction phase of power distribution networks and regarded as operating costs by the power utilities. Sometimes, however, billing records show a much higher loss level than the estimated technical losses, due to illegal connections and energy meters tampering (frauds). The installation of a metering equipment on the distribution transformers can aid in identifying the illegal connections or tampered energy meters. This equipment is connected to the lower voltage side of the transformers and its metering data is compared to the data of the consumer's energy meters powered by this transformer, thus helping in locating the possible fraud points.","PeriodicalId":414838,"journal":{"name":"2014 49th International Universities Power Engineering Conference (UPEC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126409185","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 : 2014-10-23DOI: 10.1109/UPEC.2014.6934649
S. Wenig, Y. Rink, T. Leibfried
Further developments in voltage source converter technology have triggered an increase in HVDC projects across Europe. To master future challenges within the energy sector, a continental DC overlay grid is discussed and seems to be feasible from a technical perspective. Therefore existing offshore wind and inter market DC links are proposed to be connected to each other in a first step. Supplemented by additional branches the resulting meshed DC system offers a higher degree of flexibility and reliability if adequate converter and grid control schemes are utilized. Especially in case of a converter outage or line fault, proposed droop and DC grid control methods with distributed back ups offer significant advantages compared to centralized techniques since power sharing between different converters distributes the burden caused by a sudden power variation. This paper presents a framework to evaluate DC grid and converter control methods. First, following the introduction of the underlying VSC model, basic converter and grid control schemes are introduced. Furthermore, advanced approaches such as dead-or undead-band droop and distributed grid voltage control to deal with grid contingencies are described and evaluated. Finally, results based on a MATLAB Simulink environment show adapted variations of the presented strategies which are applied to the Cigré B4 DC Grid Test System to examine suitability, performance and drawbacks of selected methods.
{"title":"Multi-terminal HVDC control strategies applied to the Cigré B4 DC Grid Test System","authors":"S. Wenig, Y. Rink, T. Leibfried","doi":"10.1109/UPEC.2014.6934649","DOIUrl":"https://doi.org/10.1109/UPEC.2014.6934649","url":null,"abstract":"Further developments in voltage source converter technology have triggered an increase in HVDC projects across Europe. To master future challenges within the energy sector, a continental DC overlay grid is discussed and seems to be feasible from a technical perspective. Therefore existing offshore wind and inter market DC links are proposed to be connected to each other in a first step. Supplemented by additional branches the resulting meshed DC system offers a higher degree of flexibility and reliability if adequate converter and grid control schemes are utilized. Especially in case of a converter outage or line fault, proposed droop and DC grid control methods with distributed back ups offer significant advantages compared to centralized techniques since power sharing between different converters distributes the burden caused by a sudden power variation. This paper presents a framework to evaluate DC grid and converter control methods. First, following the introduction of the underlying VSC model, basic converter and grid control schemes are introduced. Furthermore, advanced approaches such as dead-or undead-band droop and distributed grid voltage control to deal with grid contingencies are described and evaluated. Finally, results based on a MATLAB Simulink environment show adapted variations of the presented strategies which are applied to the Cigré B4 DC Grid Test System to examine suitability, performance and drawbacks of selected methods.","PeriodicalId":414838,"journal":{"name":"2014 49th International Universities Power Engineering Conference (UPEC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127636068","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 : 2014-10-23DOI: 10.1109/UPEC.2014.6934727
Bruno Niederauer Soares, A. da Rosa Abaide, D. Bernardon
The current scenario of the Brazilian electricity sector, through constant and recent regulatory changes imposed by ANEEL in recent years, brings us to a situation full of new challenges in order to maintain constant improvement in the supply of electric energy to consumers, ensuring each service more efficient in order to reduce the operating costs associated with the business. In order to regulate the amount of investments to be made by the concessionaires of electricity distribution, cycles of periodic tariff revision 5 years, where the regulator monitors the levels of investment in the park's electrical infrastructure assets of each company were established by Factor X. Thus an amount of prudent investment to be applied to the electrical system and recognized in the tariff, to ensure the application of resources, but without penalizing consumers with significant increases in the amount of energy is established. Besides the X-factor from the Third Cycle of Periodic Tariff Review each company, established the creation of the Q factor, which makes up the annual rate adjustment as a way to measure the operational efficiency of enterprises. The creation of the Q factor determines the annual adjustment in the tariff value is fixed at a dealership because of the difference of the inflation rate during the Q factor, which can guarantee a lower inflation adjustment or greater according to the performance of licensee in relation to the target ANEEL for the year of determination and with respect to their performance in the previous year to the determination, requiring companies to remain within the targets set by the regulator and also to plot a course of steady improvement in indicators continuity in the supply of electricity delivered to consumers. Soon this work presents a methodology for prioritizing investments in primary distribution networks of electricity associated methodologies to aid decision making of high complexity in the prioritization and planning of actions to be undertaken, seeking to further involve practical aspects such as the optimization of implementation capacity of companies within their regional capabilities.
{"title":"Methodology for prioritizing investments in distribution networks electricity focusing on operational efficiency and regulatory aspects","authors":"Bruno Niederauer Soares, A. da Rosa Abaide, D. Bernardon","doi":"10.1109/UPEC.2014.6934727","DOIUrl":"https://doi.org/10.1109/UPEC.2014.6934727","url":null,"abstract":"The current scenario of the Brazilian electricity sector, through constant and recent regulatory changes imposed by ANEEL in recent years, brings us to a situation full of new challenges in order to maintain constant improvement in the supply of electric energy to consumers, ensuring each service more efficient in order to reduce the operating costs associated with the business. In order to regulate the amount of investments to be made by the concessionaires of electricity distribution, cycles of periodic tariff revision 5 years, where the regulator monitors the levels of investment in the park's electrical infrastructure assets of each company were established by Factor X. Thus an amount of prudent investment to be applied to the electrical system and recognized in the tariff, to ensure the application of resources, but without penalizing consumers with significant increases in the amount of energy is established. Besides the X-factor from the Third Cycle of Periodic Tariff Review each company, established the creation of the Q factor, which makes up the annual rate adjustment as a way to measure the operational efficiency of enterprises. The creation of the Q factor determines the annual adjustment in the tariff value is fixed at a dealership because of the difference of the inflation rate during the Q factor, which can guarantee a lower inflation adjustment or greater according to the performance of licensee in relation to the target ANEEL for the year of determination and with respect to their performance in the previous year to the determination, requiring companies to remain within the targets set by the regulator and also to plot a course of steady improvement in indicators continuity in the supply of electricity delivered to consumers. Soon this work presents a methodology for prioritizing investments in primary distribution networks of electricity associated methodologies to aid decision making of high complexity in the prioritization and planning of actions to be undertaken, seeking to further involve practical aspects such as the optimization of implementation capacity of companies within their regional capabilities.","PeriodicalId":414838,"journal":{"name":"2014 49th International Universities Power Engineering Conference (UPEC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117072773","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 : 2014-10-23DOI: 10.1109/UPEC.2014.6934594
W. Brignol, A. Barin, L. Canha, A. C. F. R. Santos, A. Abaide, M. de Carli
Considering the constant development that have been happening on distribution networks, mainly with smart grids concept advent, the ancillary services support through distributed generation systems is essential to maintain and improve the quality of the supplied electrical energy. In this way, the electrical system could contain two subsystems: one subsystem for online measurement, which would detect the ancillary service needs, sending signals when a service was required; and other subsystem which would provide the service when the respective sign was received. The hierarchy in the ancillary service support could be defined by decision makers taking into account the importance of some criteria, like system reliability, technical characteristics and economic aspects. This work aims to evaluate a distributed generation supporting ancillary services to a real feeder in different scenarios, according to the concerns of both end consumers and distribution energy company.
{"title":"Analysis of the distributed generation for ancillary services support in distribution networks","authors":"W. Brignol, A. Barin, L. Canha, A. C. F. R. Santos, A. Abaide, M. de Carli","doi":"10.1109/UPEC.2014.6934594","DOIUrl":"https://doi.org/10.1109/UPEC.2014.6934594","url":null,"abstract":"Considering the constant development that have been happening on distribution networks, mainly with smart grids concept advent, the ancillary services support through distributed generation systems is essential to maintain and improve the quality of the supplied electrical energy. In this way, the electrical system could contain two subsystems: one subsystem for online measurement, which would detect the ancillary service needs, sending signals when a service was required; and other subsystem which would provide the service when the respective sign was received. The hierarchy in the ancillary service support could be defined by decision makers taking into account the importance of some criteria, like system reliability, technical characteristics and economic aspects. This work aims to evaluate a distributed generation supporting ancillary services to a real feeder in different scenarios, according to the concerns of both end consumers and distribution energy company.","PeriodicalId":414838,"journal":{"name":"2014 49th International Universities Power Engineering Conference (UPEC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123342656","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 : 2014-10-23DOI: 10.1109/UPEC.2014.6934819
C. S. Özveren, A. Sapeluk, A. Birch
Different ANN architectures using back propagation can forecast the electricity demand at half-hourly intervals for up to 24 hours ahead with various degrees of success that is highly dependent on mainly trial and error heuristic tailoring of the architecture and the various learning parameters to cover the solution space. This paper presents the results of an investigation of an approach in the neuro-evolution technique to the short term electricity forecasting (STFL) problem. This algorithm is called Neuro-Evolution through Augmenting Topologies (NEAT). We have chosen the methodology in the paper to be a simple, generic, adaptive, robust, and easy to implement approach, requiring modest computing resources, for the prediction of the electricity demand.
{"title":"An investigation into using neuro-evolution of Augmenting Topologies (NEAT) for short term load forecasting (STFL)","authors":"C. S. Özveren, A. Sapeluk, A. Birch","doi":"10.1109/UPEC.2014.6934819","DOIUrl":"https://doi.org/10.1109/UPEC.2014.6934819","url":null,"abstract":"Different ANN architectures using back propagation can forecast the electricity demand at half-hourly intervals for up to 24 hours ahead with various degrees of success that is highly dependent on mainly trial and error heuristic tailoring of the architecture and the various learning parameters to cover the solution space. This paper presents the results of an investigation of an approach in the neuro-evolution technique to the short term electricity forecasting (STFL) problem. This algorithm is called Neuro-Evolution through Augmenting Topologies (NEAT). We have chosen the methodology in the paper to be a simple, generic, adaptive, robust, and easy to implement approach, requiring modest computing resources, for the prediction of the electricity demand.","PeriodicalId":414838,"journal":{"name":"2014 49th International Universities Power Engineering Conference (UPEC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123345011","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 : 2014-10-23DOI: 10.1109/UPEC.2014.6934674
A. Chrysochos, Angelos I. Nousdilis, T. Papadopoulos, G. Papagiannis
The high-frequency power transformer modeling is of significant importance for most power systems applications. This paper presents a simple black-box modeling methodology for power transformers using transfer functions, defined by the recorded voltage ratios at the transformer open-circuited terminals. The model parameters are estimated using an optimization method, minimizing the error between the measured and the calculated data. The proposed model is implemented in the ATP/EMTP software, using the ATP/MODELS language in order to simulate the transmission of power-line communication signals through the transformer.
{"title":"A wide band black-box model of power transformers in ATP/MODELS","authors":"A. Chrysochos, Angelos I. Nousdilis, T. Papadopoulos, G. Papagiannis","doi":"10.1109/UPEC.2014.6934674","DOIUrl":"https://doi.org/10.1109/UPEC.2014.6934674","url":null,"abstract":"The high-frequency power transformer modeling is of significant importance for most power systems applications. This paper presents a simple black-box modeling methodology for power transformers using transfer functions, defined by the recorded voltage ratios at the transformer open-circuited terminals. The model parameters are estimated using an optimization method, minimizing the error between the measured and the calculated data. The proposed model is implemented in the ATP/EMTP software, using the ATP/MODELS language in order to simulate the transmission of power-line communication signals through the transformer.","PeriodicalId":414838,"journal":{"name":"2014 49th International Universities Power Engineering Conference (UPEC)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115567401","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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