Pub Date : 2011-03-20DOI: 10.1109/PSCE.2011.5772534
D. Yamashita, T. Niimura, H. Takamori, R. Yokoyama
This paper presents a model of market development for an industry sector of plug-in electric vehicle (PEV) producers, and charging infrastructure availability for PEV users. The authors demonstrate that, if the behaviors of the economic players were left to the workings of the market mechanism alone, the sector may see no phenomenal growth, however, various policy initiatives can promote the development of the PEV markets to take-off for continuous growth. Our model intends to facilitate the assessment of various policy initiatives to support boosting the proliferation of PEV into the community. The model is also of use to evaluate quantitatively the effects of the PEV proliferation for lowering carbon emissions.
{"title":"A dynamic model of plug-in electric vehicle markets and charging infrastructure for the evaluation of effects of policy initiatives","authors":"D. Yamashita, T. Niimura, H. Takamori, R. Yokoyama","doi":"10.1109/PSCE.2011.5772534","DOIUrl":"https://doi.org/10.1109/PSCE.2011.5772534","url":null,"abstract":"This paper presents a model of market development for an industry sector of plug-in electric vehicle (PEV) producers, and charging infrastructure availability for PEV users. The authors demonstrate that, if the behaviors of the economic players were left to the workings of the market mechanism alone, the sector may see no phenomenal growth, however, various policy initiatives can promote the development of the PEV markets to take-off for continuous growth. Our model intends to facilitate the assessment of various policy initiatives to support boosting the proliferation of PEV into the community. The model is also of use to evaluate quantitatively the effects of the PEV proliferation for lowering carbon emissions.","PeriodicalId":120665,"journal":{"name":"2011 IEEE/PES Power Systems Conference and Exposition","volume":"25 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120892320","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 : 2011-03-20DOI: 10.1109/PSCE.2011.5772498
G. McNaughton, B. Saint
One of the key goals of the GridWise Architecture Council that is clearly identified in its interoperability framework is the ability to “bridge between communities with independently evolved understandings”. Perhaps there is no better example of the need for such a bridge than between the two most widely implemented enterprise data models in the electric utility industry, the International Electrotechnical Commission (IEC) Common Information Model (CIM) and MultiSpeak®. Both standards provide critical foundations and guidance for electric utilities in developing application integration strategies. Unfortunately, the two standards have independently developed that guidance, with the goals to serve the differing needs of large and small utilities respectively. Over the last several years there has been an accelerating effort to harmonize the two standards through collaboration between the MultiSpeak Initiative and the IEC Technical Committee 57, Working Group 14 (WG14). This collaboration is given additional impetus by the work of the Smart Grid Interoperability Panel's Priority Action Plans (PAPs) 8 and 14. The intent of this work is develop a bridge between the two standards with the eventual goal of permitting interoperation among MultiSpeak — and CIM-compliant applications. Such interoperation will make it easier for electric utilities to build integrated automation systems that make use of the best of both standards. The first step toward this goal is to create a mapping between the data and messaging models so that a two-way electronic conversion can be created between CIM messages with appropriate CIM payloads and MultiSpeak web service method calls with corresponding MultiSpeak data payloads. A set of IEC standards will be issued to document the mapping. The second step in the collaboration will be the creation of a set of CIM profiles for small utilities that will implement the capabilities inherent in MultiSpeak. The authors will discuss the approach to harmonization that is planned and the progress that has been made towards completion of this important effort.
{"title":"Harmonization of the Common Information Model and Multispeak®","authors":"G. McNaughton, B. Saint","doi":"10.1109/PSCE.2011.5772498","DOIUrl":"https://doi.org/10.1109/PSCE.2011.5772498","url":null,"abstract":"One of the key goals of the GridWise Architecture Council that is clearly identified in its interoperability framework is the ability to “bridge between communities with independently evolved understandings”. Perhaps there is no better example of the need for such a bridge than between the two most widely implemented enterprise data models in the electric utility industry, the International Electrotechnical Commission (IEC) Common Information Model (CIM) and MultiSpeak®. Both standards provide critical foundations and guidance for electric utilities in developing application integration strategies. Unfortunately, the two standards have independently developed that guidance, with the goals to serve the differing needs of large and small utilities respectively. Over the last several years there has been an accelerating effort to harmonize the two standards through collaboration between the MultiSpeak Initiative and the IEC Technical Committee 57, Working Group 14 (WG14). This collaboration is given additional impetus by the work of the Smart Grid Interoperability Panel's Priority Action Plans (PAPs) 8 and 14. The intent of this work is develop a bridge between the two standards with the eventual goal of permitting interoperation among MultiSpeak — and CIM-compliant applications. Such interoperation will make it easier for electric utilities to build integrated automation systems that make use of the best of both standards. The first step toward this goal is to create a mapping between the data and messaging models so that a two-way electronic conversion can be created between CIM messages with appropriate CIM payloads and MultiSpeak web service method calls with corresponding MultiSpeak data payloads. A set of IEC standards will be issued to document the mapping. The second step in the collaboration will be the creation of a set of CIM profiles for small utilities that will implement the capabilities inherent in MultiSpeak. The authors will discuss the approach to harmonization that is planned and the progress that has been made towards completion of this important effort.","PeriodicalId":120665,"journal":{"name":"2011 IEEE/PES Power Systems Conference and Exposition","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121103964","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 : 2011-03-20DOI: 10.1109/PSCE.2011.5772573
Jianwu Zeng, W. Qiao
This paper proposes a support vector machine (SVM)-based statistical model for wind power forecasting (WPF). Instead of predicting wind power directly, the proposed model first predicts the wind speed, which is then used to predict the wind power by using the power-wind speed characteristics of the wind turbine generators. Simulation studies are carried out to validate the proposed model for very short-term and short-term WPF by using the data obtained from the National Renewable Energy Laboratory (NREL). Results show that the proposed model is accurate for very short-term and short-term WPF and outperforms the persistence model as well as the radial basis function neural network-based model.
{"title":"Support vector machine-based short-term wind power forecasting","authors":"Jianwu Zeng, W. Qiao","doi":"10.1109/PSCE.2011.5772573","DOIUrl":"https://doi.org/10.1109/PSCE.2011.5772573","url":null,"abstract":"This paper proposes a support vector machine (SVM)-based statistical model for wind power forecasting (WPF). Instead of predicting wind power directly, the proposed model first predicts the wind speed, which is then used to predict the wind power by using the power-wind speed characteristics of the wind turbine generators. Simulation studies are carried out to validate the proposed model for very short-term and short-term WPF by using the data obtained from the National Renewable Energy Laboratory (NREL). Results show that the proposed model is accurate for very short-term and short-term WPF and outperforms the persistence model as well as the radial basis function neural network-based model.","PeriodicalId":120665,"journal":{"name":"2011 IEEE/PES Power Systems Conference and Exposition","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116506665","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 : 2011-03-20DOI: 10.1109/PSCE.2011.5772519
T. Ferryman, F. Tuffner, N. Zhou, Guang Lin
Operations on the electric power grid provide highly reliable power to the end users. These operations involve hundreds of human operators and automated control schemes. However, the operations process can often take several minutes to complete. During these several minutes, the operations are often evaluated on a past state of the power system. Proper prediction methods could change this to make the operations evaluate the state of the power grid minutes in advance. Such information allows proactive, rather than reactive, actions on the power system and aids in improving the efficiency and reliability of the power grid as a whole. A successful demonstration of this prediction framework is necessary to evaluate the feasibility of utilizing such predicted states in grid operations.
{"title":"Initial study on the predictability of real power on the grid based on PMU data","authors":"T. Ferryman, F. Tuffner, N. Zhou, Guang Lin","doi":"10.1109/PSCE.2011.5772519","DOIUrl":"https://doi.org/10.1109/PSCE.2011.5772519","url":null,"abstract":"Operations on the electric power grid provide highly reliable power to the end users. These operations involve hundreds of human operators and automated control schemes. However, the operations process can often take several minutes to complete. During these several minutes, the operations are often evaluated on a past state of the power system. Proper prediction methods could change this to make the operations evaluate the state of the power grid minutes in advance. Such information allows proactive, rather than reactive, actions on the power system and aids in improving the efficiency and reliability of the power grid as a whole. A successful demonstration of this prediction framework is necessary to evaluate the feasibility of utilizing such predicted states in grid operations.","PeriodicalId":120665,"journal":{"name":"2011 IEEE/PES Power Systems Conference and Exposition","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129173225","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 : 2011-03-20DOI: 10.1109/PSCE.2011.5772508
Yixin Cai, M. Chow
Automated distribution fault diagnosis generally learns from historical faults and only those relevant to the fault events under study should be investigated. From the spatial perspective, using fault events within a small region is preferred in order to focus on the local fault characteristics. However, a small region may not provide sufficient events for an algorithm to make proper inference about the root cause. To cope with this problem, we propose Small World Stratification (SWS) sampling strategy. SWS involves sampling relevant fault events by Geographic Aggregation (GA) and Feature Space Clustering (FSC), and identifying the group of events that should be investigated together. In this paper, we use simulated fault events to demonstrate that SWS is necessary to improve the fault diagnosis performance when we focus on a small local region and FSC is superior to GA when fault characteristics in neighboring regions are different.
{"title":"Small world stratification for distribution fault diagnosis","authors":"Yixin Cai, M. Chow","doi":"10.1109/PSCE.2011.5772508","DOIUrl":"https://doi.org/10.1109/PSCE.2011.5772508","url":null,"abstract":"Automated distribution fault diagnosis generally learns from historical faults and only those relevant to the fault events under study should be investigated. From the spatial perspective, using fault events within a small region is preferred in order to focus on the local fault characteristics. However, a small region may not provide sufficient events for an algorithm to make proper inference about the root cause. To cope with this problem, we propose Small World Stratification (SWS) sampling strategy. SWS involves sampling relevant fault events by Geographic Aggregation (GA) and Feature Space Clustering (FSC), and identifying the group of events that should be investigated together. In this paper, we use simulated fault events to demonstrate that SWS is necessary to improve the fault diagnosis performance when we focus on a small local region and FSC is superior to GA when fault characteristics in neighboring regions are different.","PeriodicalId":120665,"journal":{"name":"2011 IEEE/PES Power Systems Conference and Exposition","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130433816","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 : 2011-03-20DOI: 10.1109/PSCE.2011.5772458
Ming Chen
This paper presents the contingency re-definition and its application to power system security analysis. Contingency Analysis (CA) has been an important tool in power system planning and security analysis for many years. Based on real-time network connectivity, the re-definition function takes into account the actual response of protection subsystem on the power system equipment. It identifies the breakers required for isolating the contingency equipment. This provides additional accuracy of post contingency results and provides important data to ensure the remedial action schemes are emulated correctly. Each contingency is simulated in contingency analysis by opening these breakers to evaluate their impact to the system. The ability to recognize and respect the status of manually operated switches is important to ensure the simulation mimics protection schemes. Any non-contingency equipment forced out as a result of these breaker openings, also called sympathetic outages, will be added to the contingency equipment list. All outage equipment and breakers will be listed on the contingency definition display for each contingency case. This function has been integrated in the real-time CA, off-line CA, and into dispatcher training simulator.
{"title":"Contingency re-definition and its application to power system security analysis","authors":"Ming Chen","doi":"10.1109/PSCE.2011.5772458","DOIUrl":"https://doi.org/10.1109/PSCE.2011.5772458","url":null,"abstract":"This paper presents the contingency re-definition and its application to power system security analysis. Contingency Analysis (CA) has been an important tool in power system planning and security analysis for many years. Based on real-time network connectivity, the re-definition function takes into account the actual response of protection subsystem on the power system equipment. It identifies the breakers required for isolating the contingency equipment. This provides additional accuracy of post contingency results and provides important data to ensure the remedial action schemes are emulated correctly. Each contingency is simulated in contingency analysis by opening these breakers to evaluate their impact to the system. The ability to recognize and respect the status of manually operated switches is important to ensure the simulation mimics protection schemes. Any non-contingency equipment forced out as a result of these breaker openings, also called sympathetic outages, will be added to the contingency equipment list. All outage equipment and breakers will be listed on the contingency definition display for each contingency case. This function has been integrated in the real-time CA, off-line CA, and into dispatcher training simulator.","PeriodicalId":120665,"journal":{"name":"2011 IEEE/PES Power Systems Conference and Exposition","volume":"62 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134483825","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 : 2011-03-20DOI: 10.1109/PSCE.2011.5772575
R. Neal, R. Bravo
Southern California Edison is developing a Smart Grid Demonstration project in Irvine California under ARRA funding from the DOE. The project, named the Irvine Smart Grid Demonstration (ISGD) is an integrated deployment of smart grid elements from transmission to the home. Subprojects of the ISGD include 1) Zero Net Energy Homes (ZNE), 2) a Solar Shade EV charging station, 3) Distribution Circuit Constraint Management using Energy Storage, 4) Advanced Volt/VAr Control, 5) Self Healing Circuits, 6) Deep Grid Situational Awareness, 7) Secure Energy Networking, and 8) Workforce of the Future. The demonstration site substation will also host a High Temperature Superconducting Fault Current Limiting Transformer being separately developed by a team headed by Waukesha Electric Systems. This paper describes the Advanced Volt VAr Control (AVVC) element.
{"title":"Advanced Volt/VAr control element of Southern California Edison's Irvine smart grid demonstration","authors":"R. Neal, R. Bravo","doi":"10.1109/PSCE.2011.5772575","DOIUrl":"https://doi.org/10.1109/PSCE.2011.5772575","url":null,"abstract":"Southern California Edison is developing a Smart Grid Demonstration project in Irvine California under ARRA funding from the DOE. The project, named the Irvine Smart Grid Demonstration (ISGD) is an integrated deployment of smart grid elements from transmission to the home. Subprojects of the ISGD include 1) Zero Net Energy Homes (ZNE), 2) a Solar Shade EV charging station, 3) Distribution Circuit Constraint Management using Energy Storage, 4) Advanced Volt/VAr Control, 5) Self Healing Circuits, 6) Deep Grid Situational Awareness, 7) Secure Energy Networking, and 8) Workforce of the Future. The demonstration site substation will also host a High Temperature Superconducting Fault Current Limiting Transformer being separately developed by a team headed by Waukesha Electric Systems. This paper describes the Advanced Volt VAr Control (AVVC) element.","PeriodicalId":120665,"journal":{"name":"2011 IEEE/PES Power Systems Conference and Exposition","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131751460","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 : 2011-03-20DOI: 10.1109/PSCE.2011.5772559
P. McLaren, O. Nayak, J. Langston, M. Steurer, M. Sloderbeck, R. Meeker, X. Lin, M. Yu, P. Forsyth
The growing sophistication and complexity of power system control apparatus and systems plus the addition of new topological features such as distributed generation at the distribution level requires new test environments which can evaluate and optimise these systems prior to deployment in the real system. One such environment is described in this paper along with examples of its use in evaluating application scenarios involving both real and simulated parts of a controlled power system. Future developments in the capability of such environments is briefly described.
{"title":"Testing the “smarts” in the smart T & D grid","authors":"P. McLaren, O. Nayak, J. Langston, M. Steurer, M. Sloderbeck, R. Meeker, X. Lin, M. Yu, P. Forsyth","doi":"10.1109/PSCE.2011.5772559","DOIUrl":"https://doi.org/10.1109/PSCE.2011.5772559","url":null,"abstract":"The growing sophistication and complexity of power system control apparatus and systems plus the addition of new topological features such as distributed generation at the distribution level requires new test environments which can evaluate and optimise these systems prior to deployment in the real system. One such environment is described in this paper along with examples of its use in evaluating application scenarios involving both real and simulated parts of a controlled power system. Future developments in the capability of such environments is briefly described.","PeriodicalId":120665,"journal":{"name":"2011 IEEE/PES Power Systems Conference and Exposition","volume":"228 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114007727","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 : 2011-03-20DOI: 10.1109/PSCE.2011.5772620
R. Fioravanti
Paper: Examines how storage is being used for renewable integration, where it is currently being utilized, requirements for the devices and future options
论文:研究如何将存储用于可再生能源集成，目前在哪里使用，对设备的要求和未来的选择
{"title":"How is advanced storage being used to integrate large percentages of renewable into the grid?","authors":"R. Fioravanti","doi":"10.1109/PSCE.2011.5772620","DOIUrl":"https://doi.org/10.1109/PSCE.2011.5772620","url":null,"abstract":"Paper: Examines how storage is being used for renewable integration, where it is currently being utilized, requirements for the devices and future options","PeriodicalId":120665,"journal":{"name":"2011 IEEE/PES Power Systems Conference and Exposition","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127667076","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 : 2011-03-20DOI: 10.1109/PSCE.2011.5772624
M. Mohamed
This paper proposes an algorithm based on the use of the S-transform for time-frequency analysis of the capacitor-switching transients. With no prior knowledge about system parameters, the time-frequency analysis of the voltage and current transient signals due to switched capacitor banks are used to simply but accurately estimate the relative location of the switched capacitor whether it is upstream or downstream. The phase — angle difference between the transient voltage and current signals at the power quality (PQ) monitoring location determines the transient energy flow direction. A general model of radial distribution system is used to simulate both an isolated and back-to-back capacitor switching. The electromagnetic transient program (EMTP) are used as a simulation tool and measurement provider. The simulation results of the transient phase-angle difference illustrate the capability of the proposed algorithm to relatively locate the switched capacitors.
{"title":"Identification of capacitor switching relative location using the S-transform","authors":"M. Mohamed","doi":"10.1109/PSCE.2011.5772624","DOIUrl":"https://doi.org/10.1109/PSCE.2011.5772624","url":null,"abstract":"This paper proposes an algorithm based on the use of the S-transform for time-frequency analysis of the capacitor-switching transients. With no prior knowledge about system parameters, the time-frequency analysis of the voltage and current transient signals due to switched capacitor banks are used to simply but accurately estimate the relative location of the switched capacitor whether it is upstream or downstream. The phase — angle difference between the transient voltage and current signals at the power quality (PQ) monitoring location determines the transient energy flow direction. A general model of radial distribution system is used to simulate both an isolated and back-to-back capacitor switching. The electromagnetic transient program (EMTP) are used as a simulation tool and measurement provider. The simulation results of the transient phase-angle difference illustrate the capability of the proposed algorithm to relatively locate the switched capacitors.","PeriodicalId":120665,"journal":{"name":"2011 IEEE/PES Power Systems Conference and Exposition","volume":"163 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121255818","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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