Pub Date : 2016-05-03DOI: 10.1109/TDC.2016.7519963
R. Jamalzadeh, M. Hong
Distribution systems in North America are typically radial and unbalanced, especially with the increasing penetration of single-phase distributed energy resources (DER). In the new technological environment, new modeling and analysis approaches need to be developed to study the reliability and economic impacts of DER on the electric distribution system operation. In this study, a novel method for approximating nodal voltage sensitivities is proposed, based on some important observations made about the radial distribution system. The proposed method can efficiently compute voltage sensitivities for all network nodes based on one topology search and one power flow solution. The results have been validated using the perturbation analysis performed on the IEEE 13-Bus Test Feeder model. The proposed method for voltage sensitivity approximation can be applied in the studies of large unbalanced radial distribution systems for supporting distribution system planning and operation decisions.
{"title":"An approximate method for voltage sensitivity calculation in unbalanced distribution systems","authors":"R. Jamalzadeh, M. Hong","doi":"10.1109/TDC.2016.7519963","DOIUrl":"https://doi.org/10.1109/TDC.2016.7519963","url":null,"abstract":"Distribution systems in North America are typically radial and unbalanced, especially with the increasing penetration of single-phase distributed energy resources (DER). In the new technological environment, new modeling and analysis approaches need to be developed to study the reliability and economic impacts of DER on the electric distribution system operation. In this study, a novel method for approximating nodal voltage sensitivities is proposed, based on some important observations made about the radial distribution system. The proposed method can efficiently compute voltage sensitivities for all network nodes based on one topology search and one power flow solution. The results have been validated using the perturbation analysis performed on the IEEE 13-Bus Test Feeder model. The proposed method for voltage sensitivity approximation can be applied in the studies of large unbalanced radial distribution systems for supporting distribution system planning and operation decisions.","PeriodicalId":6497,"journal":{"name":"2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"2 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2016-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89934347","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 : 2016-05-03DOI: 10.1109/TDC.2016.7520084
Nan Li, K. Hedman
With the fast expansion of renewable resources in power systems, there is a growing interest in using pumped hydro storage (PHS) to facilitate the integration of high levels of renewable resources. In this paper, two different PHS technologies are studied, namely the traditional fixed-speed technology and the adjustable-speed technology. Mathematical models are developed for the two types of PHS technologies. A two-step approach is proposed to evaluate and compare the capabilities of the two PHS technologies to provide regulation reserves. The proposed approach represents the scheduling and the deployment of regulation reserves. The case study shows that the adjustable-speed PHS is more effective than the fixed-speed PHS in balancing renewable uncertainties in power systems.
{"title":"Evaluation of the adjustable-speed pumped hydro storage in systems with renewable resources","authors":"Nan Li, K. Hedman","doi":"10.1109/TDC.2016.7520084","DOIUrl":"https://doi.org/10.1109/TDC.2016.7520084","url":null,"abstract":"With the fast expansion of renewable resources in power systems, there is a growing interest in using pumped hydro storage (PHS) to facilitate the integration of high levels of renewable resources. In this paper, two different PHS technologies are studied, namely the traditional fixed-speed technology and the adjustable-speed technology. Mathematical models are developed for the two types of PHS technologies. A two-step approach is proposed to evaluate and compare the capabilities of the two PHS technologies to provide regulation reserves. The proposed approach represents the scheduling and the deployment of regulation reserves. The case study shows that the adjustable-speed PHS is more effective than the fixed-speed PHS in balancing renewable uncertainties in power systems.","PeriodicalId":6497,"journal":{"name":"2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"9 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2016-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89986757","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 : 2016-05-03DOI: 10.1109/TDC.2016.7520032
Hesen Liu, Jiahui Guo, Yu Wenpeng, Lin Zhu, Yilu Liu, Tao Xia, Rui Sun, R. Gardner
In order to improve the capability of utilizing big data and business intelligence in the power industry, this paper presents a comprehensive solution through building an enterprise-level data platform based on the OSIsoft PI system to support big data driven applications and analytics. The platform has the features of scalability, real time, service-oriented architecture and high reliability. Compared to traditional platforms in the power industry, the significant benefit of the innovative platform is that end users can use the data with the global model to drive the self-customized services rather than depend on IT professionals to deploy the service. The paper also describes how to implement data integration, global model construction and big data driven analytics, which are difficult to achieve with traditional solutions. Meanwhile, the paper exhibits preliminary visualization results through data analysis in real scenarios.
{"title":"The design and implementation of the enterprise level data platform and big data driven applications and analytics","authors":"Hesen Liu, Jiahui Guo, Yu Wenpeng, Lin Zhu, Yilu Liu, Tao Xia, Rui Sun, R. Gardner","doi":"10.1109/TDC.2016.7520032","DOIUrl":"https://doi.org/10.1109/TDC.2016.7520032","url":null,"abstract":"In order to improve the capability of utilizing big data and business intelligence in the power industry, this paper presents a comprehensive solution through building an enterprise-level data platform based on the OSIsoft PI system to support big data driven applications and analytics. The platform has the features of scalability, real time, service-oriented architecture and high reliability. Compared to traditional platforms in the power industry, the significant benefit of the innovative platform is that end users can use the data with the global model to drive the self-customized services rather than depend on IT professionals to deploy the service. The paper also describes how to implement data integration, global model construction and big data driven analytics, which are difficult to achieve with traditional solutions. Meanwhile, the paper exhibits preliminary visualization results through data analysis in real scenarios.","PeriodicalId":6497,"journal":{"name":"2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"8 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2016-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91345913","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 : 2016-05-03DOI: 10.1109/TDC.2016.7519932
S. Ribeiro, M. A. Brenner, Francyele I. Carvalho, D. B. Araujo, Albari S. Mendes, M. Munaro, A. P. Dadam
This paper present the development steps of an multi stress accelerated aging chamber for polymeric distribution network accessories. Aiming to adequate many accelerated ageing methodologies as UV weather aging chamber and dielectric compatibility which are methods who usually melt the material to produce samples and modify its dielectric properties, the accessories are aged without any modifications on its shape. The chamber is provided with a power transformer to energize the samples, salt spraying nozzles and UV light bulbs. The verification of the ageing process was made by tests before and after the ageing process, showing the modifications on the surfaces and a statistic evaluation of the accessories leakage current, evidencing the efficiency of the developed equipment.
{"title":"Development of a multi stress chamber applied to polymeric equipment of electrical distribution networks","authors":"S. Ribeiro, M. A. Brenner, Francyele I. Carvalho, D. B. Araujo, Albari S. Mendes, M. Munaro, A. P. Dadam","doi":"10.1109/TDC.2016.7519932","DOIUrl":"https://doi.org/10.1109/TDC.2016.7519932","url":null,"abstract":"This paper present the development steps of an multi stress accelerated aging chamber for polymeric distribution network accessories. Aiming to adequate many accelerated ageing methodologies as UV weather aging chamber and dielectric compatibility which are methods who usually melt the material to produce samples and modify its dielectric properties, the accessories are aged without any modifications on its shape. The chamber is provided with a power transformer to energize the samples, salt spraying nozzles and UV light bulbs. The verification of the ageing process was made by tests before and after the ageing process, showing the modifications on the surfaces and a statistic evaluation of the accessories leakage current, evidencing the efficiency of the developed equipment.","PeriodicalId":6497,"journal":{"name":"2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"24 1","pages":"1-1"},"PeriodicalIF":0.0,"publicationDate":"2016-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87209230","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 : 2016-05-03DOI: 10.1109/TDC.2016.7519967
J. Lujano-Rojas, G. Osório, M. Shafie‐khah, J. Catalão
The variability of wind generation introduces uncertainty in the optimal scheduling of the system. Consequently, it is difficult for the system operator to determine the optimal amount of conventional generation that should be committed and its corresponding power production in order to reduce generation costs. Incorporation of forecasting error on the optimal unit scheduling has been extensively suggested in the literature. However, it strongly depends on the probability distribution adopted to represent wind power forecasting error. Cauchy distribution has demonstrated to be an adequate tool to represent forecasting error. In this paper, an analytical model to solve dynamic economic dispatch is presented. The proposed model is based on discretization of Cauchy distribution, so that its incorporation in the optimization problem is successfully done. This is illustrated by analyzing a representative case study and the results are compared to a Monte Carlo Simulation approach in order to show the accuracy of the proposed method.
{"title":"Analytical solution of dynamic economic dispatch considering wind generation","authors":"J. Lujano-Rojas, G. Osório, M. Shafie‐khah, J. Catalão","doi":"10.1109/TDC.2016.7519967","DOIUrl":"https://doi.org/10.1109/TDC.2016.7519967","url":null,"abstract":"The variability of wind generation introduces uncertainty in the optimal scheduling of the system. Consequently, it is difficult for the system operator to determine the optimal amount of conventional generation that should be committed and its corresponding power production in order to reduce generation costs. Incorporation of forecasting error on the optimal unit scheduling has been extensively suggested in the literature. However, it strongly depends on the probability distribution adopted to represent wind power forecasting error. Cauchy distribution has demonstrated to be an adequate tool to represent forecasting error. In this paper, an analytical model to solve dynamic economic dispatch is presented. The proposed model is based on discretization of Cauchy distribution, so that its incorporation in the optimization problem is successfully done. This is illustrated by analyzing a representative case study and the results are compared to a Monte Carlo Simulation approach in order to show the accuracy of the proposed method.","PeriodicalId":6497,"journal":{"name":"2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"67 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2016-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76657896","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 : 2016-05-03DOI: 10.1109/TDC.2016.7519936
Guangyuan Zhang, Wanning Li
Under high penetration of wind energy, the power system is facing the challenge to maintain the balance between generation and load due to the uncertainty and variability of wind. The traditional unit commitment only consider the deterministic load and wind output in next day and use the operating reserve to handle the net load uncertainty. In this paper, the stochastic unit commitment is developed to address the uncertainty of load and wind output. The time series model Autoregressive Integrated Moving Average (ARIMA) is applied to provide the point estimation and prediction interval for next 24 hours based on the historical load and wind data. The Monte-Carlo simulation and scenario reduction is applied to generate the scenarios and reduce the scenario number. The Benders Decomposition is used to solve the large scale stochastic programming problem in a more efficient manner. A 6 bus system is simulated and studied for the proposed model and algorithm.
{"title":"Stochastic unit commitment basec on arima scenario generation and reduction","authors":"Guangyuan Zhang, Wanning Li","doi":"10.1109/TDC.2016.7519936","DOIUrl":"https://doi.org/10.1109/TDC.2016.7519936","url":null,"abstract":"Under high penetration of wind energy, the power system is facing the challenge to maintain the balance between generation and load due to the uncertainty and variability of wind. The traditional unit commitment only consider the deterministic load and wind output in next day and use the operating reserve to handle the net load uncertainty. In this paper, the stochastic unit commitment is developed to address the uncertainty of load and wind output. The time series model Autoregressive Integrated Moving Average (ARIMA) is applied to provide the point estimation and prediction interval for next 24 hours based on the historical load and wind data. The Monte-Carlo simulation and scenario reduction is applied to generate the scenarios and reduce the scenario number. The Benders Decomposition is used to solve the large scale stochastic programming problem in a more efficient manner. A 6 bus system is simulated and studied for the proposed model and algorithm.","PeriodicalId":6497,"journal":{"name":"2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"24 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2016-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78144924","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 : 2016-05-03DOI: 10.1109/TDC.2016.7520038
A. Alam, Jun Zhu, V. Frey, Ruili Zhao, T. Hoang, S. Larson, Sumit Mundade, Salvador Ruelas, Anastasiya Herasimava
Variable generation dispatch and load distribution patterns due to renewables connected to transmission, distributed energy resources connected to the distribution system and the operation of electricity markets warrant that historical load and generation conditions be modeled in offline studies on a continuous basis instead of using the traditional peak load cases for Operations Planning studies. Modeling of these system conditions into Operations Planning study models is also essential for after-the-fact event analysis, improving study models and for providing better insight into outage reliability studies. This paper presents a method implemented at California ISO (CAISO) using Python and GE Positive Sequence Load Flow (PSLF) to integrate real-time system operating conditions with Operational Planning models to provide study models with real-time load and generation conditions.
{"title":"Improving Operational Planning study models with historical generation and load data","authors":"A. Alam, Jun Zhu, V. Frey, Ruili Zhao, T. Hoang, S. Larson, Sumit Mundade, Salvador Ruelas, Anastasiya Herasimava","doi":"10.1109/TDC.2016.7520038","DOIUrl":"https://doi.org/10.1109/TDC.2016.7520038","url":null,"abstract":"Variable generation dispatch and load distribution patterns due to renewables connected to transmission, distributed energy resources connected to the distribution system and the operation of electricity markets warrant that historical load and generation conditions be modeled in offline studies on a continuous basis instead of using the traditional peak load cases for Operations Planning studies. Modeling of these system conditions into Operations Planning study models is also essential for after-the-fact event analysis, improving study models and for providing better insight into outage reliability studies. This paper presents a method implemented at California ISO (CAISO) using Python and GE Positive Sequence Load Flow (PSLF) to integrate real-time system operating conditions with Operational Planning models to provide study models with real-time load and generation conditions.","PeriodicalId":6497,"journal":{"name":"2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"34 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2016-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75100089","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 : 2016-05-03DOI: 10.1109/TDC.2016.7519972
Preetham Goli, Michael Umeano, W. Shireen, R. Cline
The ideas of smart grid and microgrid have gained prominence over the last decade and they are anticipated to be key players in the future power grid. With support from the Department of Energy (DOE) several universities have updated their power engineering curriculum with courses focused on the various aspects of smart grid. The intent of this paper is to demonstrate the recently setup “Smart Renewable Systems Laboratory” at the University of Houston. The specific laboratory demonstrations presented in this paper will supplement the smart grid curriculum developed for the undergraduate power engineering technology major.
{"title":"Laboratory setup to meet the educational needs for the future smart grid workforce","authors":"Preetham Goli, Michael Umeano, W. Shireen, R. Cline","doi":"10.1109/TDC.2016.7519972","DOIUrl":"https://doi.org/10.1109/TDC.2016.7519972","url":null,"abstract":"The ideas of smart grid and microgrid have gained prominence over the last decade and they are anticipated to be key players in the future power grid. With support from the Department of Energy (DOE) several universities have updated their power engineering curriculum with courses focused on the various aspects of smart grid. The intent of this paper is to demonstrate the recently setup “Smart Renewable Systems Laboratory” at the University of Houston. The specific laboratory demonstrations presented in this paper will supplement the smart grid curriculum developed for the undergraduate power engineering technology major.","PeriodicalId":6497,"journal":{"name":"2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"15 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2016-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77888091","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 : 2016-05-03DOI: 10.1109/TDC.2016.7519924
Hashim A. Al Hassan, B. Grainger, T. Mcdermott, G. Reed
Identifying the exact fault location within a HVDC system is critical in order to perform rapid system restoration for enhanced system reliability and operation. A method is proposed to locate faults using transient system data generated by the fault with system measurements at the HVDC converter terminals. The proposed method can locate temporary and permanent faults on a hybrid HVDC-VSC system, where the transmission medium consists of long segments of both underground cable and overhead line. The proposed routine is based on modeling the behavior of the traveling wave and making use of Rogowski coils for measurements.
{"title":"Fault location identification of a hybrid HVDC-VSC system containing cable and overhead line segments using transient data","authors":"Hashim A. Al Hassan, B. Grainger, T. Mcdermott, G. Reed","doi":"10.1109/TDC.2016.7519924","DOIUrl":"https://doi.org/10.1109/TDC.2016.7519924","url":null,"abstract":"Identifying the exact fault location within a HVDC system is critical in order to perform rapid system restoration for enhanced system reliability and operation. A method is proposed to locate faults using transient system data generated by the fault with system measurements at the HVDC converter terminals. The proposed method can locate temporary and permanent faults on a hybrid HVDC-VSC system, where the transmission medium consists of long segments of both underground cable and overhead line. The proposed routine is based on modeling the behavior of the traveling wave and making use of Rogowski coils for measurements.","PeriodicalId":6497,"journal":{"name":"2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"7 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2016-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72891123","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 : 2016-05-03DOI: 10.1109/TDC.2016.7520061
Taylon Gomes Landgraf, Elmer P. T. Cari, L. F. Costa Alberto
This paper describes an approach for the estimation of parameters of a synchronous generator with measurements easily acquired. The generator two-axis model has been rewritten to include field current as an input. The model consists of a set of differential-algebraic equations (DAEs) containing an algebraic equation for the balance of currents. The measured data used are three-phase terminal voltages and currents and field current, which are easily obtained in real applications. Furthermore, to avoid singularities during the solution of the model equation, a special approach based on trajectory sensitivity method is performed due to uncertainties in the parameter. The algorithm was tested with simulation data and provided satisfactory results.
{"title":"Online parameter estimation of synchronous generators from accessible measurements","authors":"Taylon Gomes Landgraf, Elmer P. T. Cari, L. F. Costa Alberto","doi":"10.1109/TDC.2016.7520061","DOIUrl":"https://doi.org/10.1109/TDC.2016.7520061","url":null,"abstract":"This paper describes an approach for the estimation of parameters of a synchronous generator with measurements easily acquired. The generator two-axis model has been rewritten to include field current as an input. The model consists of a set of differential-algebraic equations (DAEs) containing an algebraic equation for the balance of currents. The measured data used are three-phase terminal voltages and currents and field current, which are easily obtained in real applications. Furthermore, to avoid singularities during the solution of the model equation, a special approach based on trajectory sensitivity method is performed due to uncertainties in the parameter. The algorithm was tested with simulation data and provided satisfactory results.","PeriodicalId":6497,"journal":{"name":"2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"9 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2016-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74394321","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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