Pub Date : 2016-05-03DOI: 10.1109/TDC.2016.7519907
R. Bravo
The purpose of this paper is to present test results of various typical residential motor loads available in the U.S. market, residential air conditioners (RAC), refrigerators, window air conditioners, and air conditioners with variable frequency drives (VFDs). The tests were performed at California State University in Long Beach. This information is valuable to develop, test, and validate computer models use for system impact studies by utilities planners and/or researchers. Finally, it will provide recommendations for manufacturers on how to improve and enhance these loads performance so that they can be grid friendly devices.
{"title":"Dynamic performance of residential motor loads","authors":"R. Bravo","doi":"10.1109/TDC.2016.7519907","DOIUrl":"https://doi.org/10.1109/TDC.2016.7519907","url":null,"abstract":"The purpose of this paper is to present test results of various typical residential motor loads available in the U.S. market, residential air conditioners (RAC), refrigerators, window air conditioners, and air conditioners with variable frequency drives (VFDs). The tests were performed at California State University in Long Beach. This information is valuable to develop, test, and validate computer models use for system impact studies by utilities planners and/or researchers. Finally, it will provide recommendations for manufacturers on how to improve and enhance these loads performance so that they can be grid friendly devices.","PeriodicalId":6497,"journal":{"name":"2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"51 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":"89894872","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.2016.7519848
Gokturk Poyrazoglu, HyungSeon Oh
Harmonization of traditional education with computer-aided instruction is a trending method to achieve high standards in college level education. An online simulation is developed as a computer-aided instruction tool and added to curriculum for a power economics course. This simulation may provide engineering students with artificial energy market trading experience that allows for their participation within various `real world' economic market structures. To date no study has examined the impact of power market simulation on students' learning. The purpose of the present study is to fill this gap by examining the effects of simulation on various cognitive learning categories as defined by Bloom and Fink. 9 survey questions were specifically designed for this purpose by following previous studies' recommendations and avoiding the threat of bias. The self-evaluation survey responses showed that simulation has less impact on Synthesis and Caring than any other categories of learning. The findings and suggestions for educators to improve these categories are presented.
{"title":"The impacts of electric power market simulation on engineering education","authors":"Gokturk Poyrazoglu, HyungSeon Oh","doi":"10.1109/TDC.2016.7519848","DOIUrl":"https://doi.org/10.1109/TDC.2016.7519848","url":null,"abstract":"Harmonization of traditional education with computer-aided instruction is a trending method to achieve high standards in college level education. An online simulation is developed as a computer-aided instruction tool and added to curriculum for a power economics course. This simulation may provide engineering students with artificial energy market trading experience that allows for their participation within various `real world' economic market structures. To date no study has examined the impact of power market simulation on students' learning. The purpose of the present study is to fill this gap by examining the effects of simulation on various cognitive learning categories as defined by Bloom and Fink. 9 survey questions were specifically designed for this purpose by following previous studies' recommendations and avoiding the threat of bias. The self-evaluation survey responses showed that simulation has less impact on Synthesis and Caring than any other categories of learning. The findings and suggestions for educators to improve these categories are presented.","PeriodicalId":6497,"journal":{"name":"2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"25 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":"74542851","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.2016.7519883
Mohana S. Alanazi, Abdulaziz Alanazi, A. Khodaei
The rapid growth of solar Photovoltaic (PV) technology has been very visible over the past decade. Such increase in the integration of solar generation has brought attention to the forecasting issues. This paper presents a new approach to tackle the long-term forecasting challenge and accordingly reduce the uncertainty of the PV forecast, which would accordingly help facilitate its integration into the electric power grid. The new method includes a set of pre- and post-processes that will be undertaken before the data is fed to the forecasting model and after the forecast is obtained. Using the proposed method, the historical solar PV radiation data, which is non-stationary, is converted to a set of stationary data which will accordingly allow utilization of a larger set of data for forecasting. Numerical simulations exhibit the performance of the proposed method.
{"title":"Long-term solar generation forecasting","authors":"Mohana S. Alanazi, Abdulaziz Alanazi, A. Khodaei","doi":"10.1109/TDC.2016.7519883","DOIUrl":"https://doi.org/10.1109/TDC.2016.7519883","url":null,"abstract":"The rapid growth of solar Photovoltaic (PV) technology has been very visible over the past decade. Such increase in the integration of solar generation has brought attention to the forecasting issues. This paper presents a new approach to tackle the long-term forecasting challenge and accordingly reduce the uncertainty of the PV forecast, which would accordingly help facilitate its integration into the electric power grid. The new method includes a set of pre- and post-processes that will be undertaken before the data is fed to the forecasting model and after the forecast is obtained. Using the proposed method, the historical solar PV radiation data, which is non-stationary, is converted to a set of stationary data which will accordingly allow utilization of a larger set of data for forecasting. Numerical simulations exhibit the performance of the proposed method.","PeriodicalId":6497,"journal":{"name":"2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"20 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":"75693864","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.2016.7519892
A. Shrestha, V. Cecchi, R. Cox
An optimal power flow (OPF)-based generation shedding for dynamic remedial action scheme (RAS) is proposed in this paper. A straightforward generation-shedding cost function is developed using pre-RAS and post-RAS OPF costs. The proposed method updates RAS control actions online based on the system operating conditions and cost functions. The proposed method is tested on a modified IEEE 39-Bus system. Test results demonstrate effectiveness of the proposed generation-shedding method.
{"title":"Optimal power flow-based generation shedding for dynamic remedial action scheme","authors":"A. Shrestha, V. Cecchi, R. Cox","doi":"10.1109/TDC.2016.7519892","DOIUrl":"https://doi.org/10.1109/TDC.2016.7519892","url":null,"abstract":"An optimal power flow (OPF)-based generation shedding for dynamic remedial action scheme (RAS) is proposed in this paper. A straightforward generation-shedding cost function is developed using pre-RAS and post-RAS OPF costs. The proposed method updates RAS control actions online based on the system operating conditions and cost functions. The proposed method is tested on a modified IEEE 39-Bus system. Test results demonstrate effectiveness of the proposed generation-shedding method.","PeriodicalId":6497,"journal":{"name":"2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"1 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":"76078558","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.2016.7520003
H. Lotfi, A. Khodaei
Uncertainty considerations in microgrid operation and planning are of significant importance as uncertain factors can potentially alter the operator's decisions. New mathematical approaches, such as robust optimization, are commonly adopted to capture uncertainties and ensure practicality. However, this added practicality is at the expense of increased problem size and computational complexity. This paper presents a detailed discussion and analysis of prevailing uncertainties in microgrid operation and planning, and accordingly proposes a new preprocessing approach to integrate uncertainties while reducing computational requirements. Numerical simulations exhibit the merits of the proposed approach over the commonly used robust optimization method from the execution time and practicality perspectives.
{"title":"An efficient preprocessing approach for uncertainty consideration in microgrids","authors":"H. Lotfi, A. Khodaei","doi":"10.1109/TDC.2016.7520003","DOIUrl":"https://doi.org/10.1109/TDC.2016.7520003","url":null,"abstract":"Uncertainty considerations in microgrid operation and planning are of significant importance as uncertain factors can potentially alter the operator's decisions. New mathematical approaches, such as robust optimization, are commonly adopted to capture uncertainties and ensure practicality. However, this added practicality is at the expense of increased problem size and computational complexity. This paper presents a detailed discussion and analysis of prevailing uncertainties in microgrid operation and planning, and accordingly proposes a new preprocessing approach to integrate uncertainties while reducing computational requirements. Numerical simulations exhibit the merits of the proposed approach over the commonly used robust optimization method from the execution time and practicality perspectives.","PeriodicalId":6497,"journal":{"name":"2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"21 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":"74035102","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.2016.7520083
R. Broderick, Karina Muñoz-Ramos, M. Reno
This paper examines the accuracy of clustering techniques for predicting hosting capacity. Hosting capacity results for 214 study feeders were used to predict a range of hosting capacities for an addition 7929 feeders using clustering techniques. Several methods were explored to try to improve the accuracy for predicting hosting capacity, including increasing the number of clusters, selecting variables that are highly correlated to hosting capacity for clustering, and weighting highly correlated clustering variables. The average normalized interquartile range (ANIQR) is used to compare the accuracy of several clustering methods for predicting hosting capacity.
{"title":"Accuracy of clustering as a method to group distribution feeders by PV hosting capacity","authors":"R. Broderick, Karina Muñoz-Ramos, M. Reno","doi":"10.1109/TDC.2016.7520083","DOIUrl":"https://doi.org/10.1109/TDC.2016.7520083","url":null,"abstract":"This paper examines the accuracy of clustering techniques for predicting hosting capacity. Hosting capacity results for 214 study feeders were used to predict a range of hosting capacities for an addition 7929 feeders using clustering techniques. Several methods were explored to try to improve the accuracy for predicting hosting capacity, including increasing the number of clusters, selecting variables that are highly correlated to hosting capacity for clustering, and weighting highly correlated clustering variables. The average normalized interquartile range (ANIQR) is used to compare the accuracy of several clustering methods for predicting hosting capacity.","PeriodicalId":6497,"journal":{"name":"2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"58 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":"74221060","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.2016.7519973
U. Riechert, U. Straumann, R. Gremaud
The design of insulating elements for HVAC GIS is optimized for a capacitive field distribution. An intrinsic difference between AC and DC is however that the DC conductivity of insulation materials is strongly temperature dependent, while their permittivity varies only weakly with temperature. As a consequence, the resistive field is enhanced where the DC conductivity is at its minimum, i.e. in cold regions of the insulation. Besides, the accumulation of space and surface charges have to be observed as well as the specific load at superposition of impulse voltages. Using of multi-physics simulation tools the analysis of temperature and electrical field distribution is now possible with high accuracy, taking the following parameters into consideration: temperature and electrical field dependent characteristics of the insulating materials, accumulation of space and surface charges and the superposition of DC and impulse voltages.
{"title":"Compact gas-insulated systems for high voltage direct current transmission: Basic design","authors":"U. Riechert, U. Straumann, R. Gremaud","doi":"10.1109/TDC.2016.7519973","DOIUrl":"https://doi.org/10.1109/TDC.2016.7519973","url":null,"abstract":"The design of insulating elements for HVAC GIS is optimized for a capacitive field distribution. An intrinsic difference between AC and DC is however that the DC conductivity of insulation materials is strongly temperature dependent, while their permittivity varies only weakly with temperature. As a consequence, the resistive field is enhanced where the DC conductivity is at its minimum, i.e. in cold regions of the insulation. Besides, the accumulation of space and surface charges have to be observed as well as the specific load at superposition of impulse voltages. Using of multi-physics simulation tools the analysis of temperature and electrical field distribution is now possible with high accuracy, taking the following parameters into consideration: temperature and electrical field dependent characteristics of the insulating materials, accumulation of space and surface charges and the superposition of DC and impulse voltages.","PeriodicalId":6497,"journal":{"name":"2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"6 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":"82052424","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.2016.7519982
A. Rahouma, R. El-Azab, Maged A. Abu Adma, A. Amin
Integrating large scale variable renewable energy sources (VRESs) such as solar photovoltaic generation plants and wind farms, with electric power systems achieve many targets, i.e. economic, environmental, and technical. VRES also presents new generation technologies to the traditional grid. These technologies behavior should be studied in depth during grid normal and abnormal conditions. Solar Photovoltaic Generation (SPVG) is a common solar energy applications. Whereas, wind farms of a variable speed wind turbine with a Doubly Fed Induction Generator (DFIG) have a great potential among different wind turbine technologies. This paper presents a comparative study between traditional synchronous, SPVG and DFIG responses during substantial power deficiency cases. This study summarizes the main features of each technology frequency behavior. The study also suggests several recommendations for stabilizing the grid frequency with large scale VRES.
{"title":"Frequency behavior of variable renewable energy sources during power deficiency events; comparative study","authors":"A. Rahouma, R. El-Azab, Maged A. Abu Adma, A. Amin","doi":"10.1109/TDC.2016.7519982","DOIUrl":"https://doi.org/10.1109/TDC.2016.7519982","url":null,"abstract":"Integrating large scale variable renewable energy sources (VRESs) such as solar photovoltaic generation plants and wind farms, with electric power systems achieve many targets, i.e. economic, environmental, and technical. VRES also presents new generation technologies to the traditional grid. These technologies behavior should be studied in depth during grid normal and abnormal conditions. Solar Photovoltaic Generation (SPVG) is a common solar energy applications. Whereas, wind farms of a variable speed wind turbine with a Doubly Fed Induction Generator (DFIG) have a great potential among different wind turbine technologies. This paper presents a comparative study between traditional synchronous, SPVG and DFIG responses during substantial power deficiency cases. This study summarizes the main features of each technology frequency behavior. The study also suggests several recommendations for stabilizing the grid frequency with large scale VRES.","PeriodicalId":6497,"journal":{"name":"2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"9 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2016-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84152666","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.2016.7520049
Yuqian Song, J. Zhong
The increasingly complex multi-market environment has bring more uncertainties to modern power system operation. These uncertainties mainly come from price volatilities in different markets and lead to unexpected risk of profit losses. This paper applies the concept of risk management in financial areas to power system OPF model. A comprehensive representation of risk component is introduced taking account of not only price fluctuation in each individual market, but also the interconnections of prices between different markets. The simulation results determine how this approach will affect system generation scheduling to minimize generation cost and risk level simultaneously.
{"title":"Managing uncertainties in multi-market environment: A risk-related approach","authors":"Yuqian Song, J. Zhong","doi":"10.1109/TDC.2016.7520049","DOIUrl":"https://doi.org/10.1109/TDC.2016.7520049","url":null,"abstract":"The increasingly complex multi-market environment has bring more uncertainties to modern power system operation. These uncertainties mainly come from price volatilities in different markets and lead to unexpected risk of profit losses. This paper applies the concept of risk management in financial areas to power system OPF model. A comprehensive representation of risk component is introduced taking account of not only price fluctuation in each individual market, but also the interconnections of prices between different markets. The simulation results determine how this approach will affect system generation scheduling to minimize generation cost and risk level simultaneously.","PeriodicalId":6497,"journal":{"name":"2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"91 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":"84399163","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.2016.7520059
D. Gotz, F. Petzold, H. Putter, S. Markalous, Marco Stephan
Partial discharge (PD) diagnostic is a well proven method for detecting weak spots in medium and high voltage cables. Beside the key parameters, like partial discharge inception / extinction voltage and partial discharge level in Pico-coulomb, one of the most important parameter is the point of localization along the cable. Without exact localization even the interpretation of the key parameters could lead to wrong conclusions. However even when the PD is localized additional information about the type of defect would be very helpful in addressing the severity of the detected defect. Does the PD weak spot need to be replaced directly, or can the cable be safely energized and the replacement of the defective component can be scheduled on a later time period. This paper goes into detail to PD localization, PRPD patterns and finally localized PRPD patterns. With help from “localized” PRPD patterns new ways of identifying the type of defect are possible and more reliable conclusions can, with regards to the severity of the defect, be drawn.
{"title":"Localized PRPD pattern for defect recognition on MV and HV cables","authors":"D. Gotz, F. Petzold, H. Putter, S. Markalous, Marco Stephan","doi":"10.1109/TDC.2016.7520059","DOIUrl":"https://doi.org/10.1109/TDC.2016.7520059","url":null,"abstract":"Partial discharge (PD) diagnostic is a well proven method for detecting weak spots in medium and high voltage cables. Beside the key parameters, like partial discharge inception / extinction voltage and partial discharge level in Pico-coulomb, one of the most important parameter is the point of localization along the cable. Without exact localization even the interpretation of the key parameters could lead to wrong conclusions. However even when the PD is localized additional information about the type of defect would be very helpful in addressing the severity of the detected defect. Does the PD weak spot need to be replaced directly, or can the cable be safely energized and the replacement of the defective component can be scheduled on a later time period. This paper goes into detail to PD localization, PRPD patterns and finally localized PRPD patterns. With help from “localized” PRPD patterns new ways of identifying the type of defect are possible and more reliable conclusions can, with regards to the severity of the defect, be drawn.","PeriodicalId":6497,"journal":{"name":"2016 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)","volume":"74 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2016-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87305214","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：