Pub Date : 2013-07-21DOI: 10.1109/PESMG.2013.6672944
M. Stanovich, S. Srivastava, D. Cartes, T. Bevis
Controls in power systems such as national utility grids, microgrids, and shipboard electrical infrastructures are evolving and conventional testbeds are inadequately outfitted for effective design, development, and testing. In particular, conventional power system control testbeds typically lack appropriate computational and data communication tools to quickly and accurately represent advanced control architectures. In this paper, we discuss experiences with a distributed control testbed by incorporating general purpose computational platforms and a more extensive data communications infrastructure. These components enhance the testbed by providing access to key technologies expected to be prevalent in emerging power systems and also simplify the implementation of sophisticated control architectures. Evaluation of the improved capabilities of the testbed is provided through two studies. The first explores the control capabilities for a shipboard power system through the use of hierarchical and distributed control structures. The second investigates the effect of data communication latencies on a control algorithm through a test case involving synchronization of multiple generators.
{"title":"Multi-agent testbed for emerging power systems","authors":"M. Stanovich, S. Srivastava, D. Cartes, T. Bevis","doi":"10.1109/PESMG.2013.6672944","DOIUrl":"https://doi.org/10.1109/PESMG.2013.6672944","url":null,"abstract":"Controls in power systems such as national utility grids, microgrids, and shipboard electrical infrastructures are evolving and conventional testbeds are inadequately outfitted for effective design, development, and testing. In particular, conventional power system control testbeds typically lack appropriate computational and data communication tools to quickly and accurately represent advanced control architectures. In this paper, we discuss experiences with a distributed control testbed by incorporating general purpose computational platforms and a more extensive data communications infrastructure. These components enhance the testbed by providing access to key technologies expected to be prevalent in emerging power systems and also simplify the implementation of sophisticated control architectures. Evaluation of the improved capabilities of the testbed is provided through two studies. The first explores the control capabilities for a shipboard power system through the use of hierarchical and distributed control structures. The second investigates the effect of data communication latencies on a control algorithm through a test case involving synchronization of multiple generators.","PeriodicalId":433870,"journal":{"name":"2013 IEEE Power & Energy Society General Meeting","volume":"815 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124438607","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 : 2013-07-21DOI: 10.1109/PESMG.2013.6672491
L. Moraes, R. Flauzino, M. Araújo, O. E. Batista
This paper aims to introduce a methodology for choosing the best inputs and tuning a multilayer fuzzy inference system dedicated to estimate future time series power demand values in a substation feeder. On an iteration process, older data with greater correlation with the previous forecast errors are the inputs of the fuzzy system, which has as output a future demand value. It is attempted to estimate the largest possible horizon reaching the minimum forecast error. The obtained results are satisfactory, showing that the developed methodology is capable of picking a small number of inputs to forecast with accuracy different horizons.
{"title":"A fuzzy methodology to improve time series forecast of power demand in distribution systems","authors":"L. Moraes, R. Flauzino, M. Araújo, O. E. Batista","doi":"10.1109/PESMG.2013.6672491","DOIUrl":"https://doi.org/10.1109/PESMG.2013.6672491","url":null,"abstract":"This paper aims to introduce a methodology for choosing the best inputs and tuning a multilayer fuzzy inference system dedicated to estimate future time series power demand values in a substation feeder. On an iteration process, older data with greater correlation with the previous forecast errors are the inputs of the fuzzy system, which has as output a future demand value. It is attempted to estimate the largest possible horizon reaching the minimum forecast error. The obtained results are satisfactory, showing that the developed methodology is capable of picking a small number of inputs to forecast with accuracy different horizons.","PeriodicalId":433870,"journal":{"name":"2013 IEEE Power & Energy Society General Meeting","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124444255","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 : 2013-07-21DOI: 10.1109/PESMG.2013.6672289
E. J. Burstinghaus, T. Saha, R. A. Marshall, K. Yumoto, C. Waters
During the ascending phase of solar cycle 24 concern in the power industry regarding space weather has increased significantly. This is driving the development of software tools to estimate GIC distributions in power networks for a given uniform geoelectric field. Typically, geoelectric fields induced during space weather disturbances are spatially non-uniform. This paper shows that for accurate planning and development of mitigation strategies, GIC analysis software needs to allow for specification of non-uniform geoelectric fields. Further, the notion held by power utilities in mid and low-latitude locations that space weather does not pose any risk to their systems is questionable. In this paper a methodology is developed to estimate the distribution of GICs in a specified power network during a significant geomagnetic event at mid-latitudes.
{"title":"The importance of non-uniform geoelectric fields in calculating GIC distributions","authors":"E. J. Burstinghaus, T. Saha, R. A. Marshall, K. Yumoto, C. Waters","doi":"10.1109/PESMG.2013.6672289","DOIUrl":"https://doi.org/10.1109/PESMG.2013.6672289","url":null,"abstract":"During the ascending phase of solar cycle 24 concern in the power industry regarding space weather has increased significantly. This is driving the development of software tools to estimate GIC distributions in power networks for a given uniform geoelectric field. Typically, geoelectric fields induced during space weather disturbances are spatially non-uniform. This paper shows that for accurate planning and development of mitigation strategies, GIC analysis software needs to allow for specification of non-uniform geoelectric fields. Further, the notion held by power utilities in mid and low-latitude locations that space weather does not pose any risk to their systems is questionable. In this paper a methodology is developed to estimate the distribution of GICs in a specified power network during a significant geomagnetic event at mid-latitudes.","PeriodicalId":433870,"journal":{"name":"2013 IEEE Power & Energy Society General Meeting","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124102437","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 : 2013-07-21DOI: 10.1109/PESMG.2013.6672504
Dimitrios Athanasiadis, S. Mcarthur
A fully distributed intelligence and control philosophy is needed for future flexible grids to facilitate the low carbon transition and the adoption of emerging network technologies. Future grids need scalable network management solutions in order to cope with the increase in uncertainty and complexity. Fundamental research in intelligent systems and network control will deliver the next generation of intelligent electricity network. This paper presents a network management function formalised as a Distributed Constraint Optimization (DCOP) problem, in particular power flow management. DCOP is an approach to negotiation and arbitration within decentralised control systems where conflicting control decisions arise. Furthermore, the problem will be visualized and decomposed as a factor graph which is a graphical presentation of factorization of a global function into a product of local functions. Additionally, a message passing algorithm, the max-sum algorithm, will be applied which can provide almost optimal results for decentralised coordination problems and limits the computation and communication problems.
{"title":"Active network management using distributed constraint optimisation","authors":"Dimitrios Athanasiadis, S. Mcarthur","doi":"10.1109/PESMG.2013.6672504","DOIUrl":"https://doi.org/10.1109/PESMG.2013.6672504","url":null,"abstract":"A fully distributed intelligence and control philosophy is needed for future flexible grids to facilitate the low carbon transition and the adoption of emerging network technologies. Future grids need scalable network management solutions in order to cope with the increase in uncertainty and complexity. Fundamental research in intelligent systems and network control will deliver the next generation of intelligent electricity network. This paper presents a network management function formalised as a Distributed Constraint Optimization (DCOP) problem, in particular power flow management. DCOP is an approach to negotiation and arbitration within decentralised control systems where conflicting control decisions arise. Furthermore, the problem will be visualized and decomposed as a factor graph which is a graphical presentation of factorization of a global function into a product of local functions. Additionally, a message passing algorithm, the max-sum algorithm, will be applied which can provide almost optimal results for decentralised coordination problems and limits the computation and communication problems.","PeriodicalId":433870,"journal":{"name":"2013 IEEE Power & Energy Society General Meeting","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126302283","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 : 2013-07-21DOI: 10.1109/PESMG.2013.6672376
L. Gang, Zhou Fan, Y. Xiaojun, Hu Qiannan
Calculating conductor temperature of HV cable accurately has been concerned by cable design, operation and management, and power scheduling. In order to calculate conductor temperature accurately based on surface temperature and aluminum sheath temperature, thermal circuit was put forward. We designed temperature rising test for step current of 110 kV XLPE single-core cable which was buried in soil. The experimental data was analyzed based on thermal circuit, the results show: comparing conductor temperature value calculated by outer sheath temperature and measured value, the error is among 5%, and comparing conductor temperature value calculated by aluminum sheath temperature and measured value, the error is also among 5%, and range of their difference is -0.3°C-1°C. That is to say, it is available to calculate conductor temperature accurately based on surface temperature, which also can be applied in engineering.
{"title":"Error analysis on calculating conductor temperature based on outer sheath temperature of cable","authors":"L. Gang, Zhou Fan, Y. Xiaojun, Hu Qiannan","doi":"10.1109/PESMG.2013.6672376","DOIUrl":"https://doi.org/10.1109/PESMG.2013.6672376","url":null,"abstract":"Calculating conductor temperature of HV cable accurately has been concerned by cable design, operation and management, and power scheduling. In order to calculate conductor temperature accurately based on surface temperature and aluminum sheath temperature, thermal circuit was put forward. We designed temperature rising test for step current of 110 kV XLPE single-core cable which was buried in soil. The experimental data was analyzed based on thermal circuit, the results show: comparing conductor temperature value calculated by outer sheath temperature and measured value, the error is among 5%, and comparing conductor temperature value calculated by aluminum sheath temperature and measured value, the error is also among 5%, and range of their difference is -0.3°C-1°C. That is to say, it is available to calculate conductor temperature accurately based on surface temperature, which also can be applied in engineering.","PeriodicalId":433870,"journal":{"name":"2013 IEEE Power & Energy Society General Meeting","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126351649","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 : 2013-07-21DOI: 10.1109/PESMG.2013.6672398
P. Pourbeik, A. Ellis, J. Sanchez-Gasca, Y. Kazachkov, E. Muljadi, J. Senthil, D. Davies
This paper provides a brief summary of the development of the second generation of type 3 and 4 generic wind turbine generator models for stability studies under the Western Electricity Coordinating Council Renewable Energy Modeling Task Force (WECC REMTF).
{"title":"Generic stability models for type 3 & 4 wind turbine generators for WECC","authors":"P. Pourbeik, A. Ellis, J. Sanchez-Gasca, Y. Kazachkov, E. Muljadi, J. Senthil, D. Davies","doi":"10.1109/PESMG.2013.6672398","DOIUrl":"https://doi.org/10.1109/PESMG.2013.6672398","url":null,"abstract":"This paper provides a brief summary of the development of the second generation of type 3 and 4 generic wind turbine generator models for stability studies under the Western Electricity Coordinating Council Renewable Energy Modeling Task Force (WECC REMTF).","PeriodicalId":433870,"journal":{"name":"2013 IEEE Power & Energy Society General Meeting","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125447122","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 : 2013-07-21DOI: 10.1109/PESMG.2013.6672569
P. Issouribehere, D. Esteban, F. Issouribehere, G. Barbera, H. Mayer
It is widely known that in most countries there are severe Power Quality rules that Utilities as well as customers have to comply with. Therefore, it is necessary to assess carefully the levels of disturbances. The traditional procedure to determine the origin of such disturbances is to perform field measurements in all the plants containing power electronic equipment, electric arc furnaces, etc., located near the point in which high levels of disturbances have been detected. Nevertheless, in most cases field engineers find it difficult to have access to the plants belonging to Utilities and also to the different industries settled nearby, which are also likely to emit disturbances. In addition, the task of installing the PQ recorder in the electrical cabinets inside the plant demands a considerable time, as well. With the intention of avoiding all the difficulties that can arise when field engineers are searching for a disturbing load, it was considered a great challenge to design a novel device to make the field work simpler. Such a challenge was based on designing a measuring system capable of recording voltage waveforms with no physical contact with the installations and without the assistance of Utilities personnel. In order to achieve this goal an Electric Field Sensor (EFS) was employed in the design of the measuring system. This paper deals with the results of testing an electric field measurement system - completely designed by the authors - for monitoring voltage Flicker and harmonics in overhead power systems [1]-[3]. Some results of field measurements performed in plants containing disturbing loads are shown.
{"title":"Perturbation measurements on HV overhead lines using Electric Field Sensors","authors":"P. Issouribehere, D. Esteban, F. Issouribehere, G. Barbera, H. Mayer","doi":"10.1109/PESMG.2013.6672569","DOIUrl":"https://doi.org/10.1109/PESMG.2013.6672569","url":null,"abstract":"It is widely known that in most countries there are severe Power Quality rules that Utilities as well as customers have to comply with. Therefore, it is necessary to assess carefully the levels of disturbances. The traditional procedure to determine the origin of such disturbances is to perform field measurements in all the plants containing power electronic equipment, electric arc furnaces, etc., located near the point in which high levels of disturbances have been detected. Nevertheless, in most cases field engineers find it difficult to have access to the plants belonging to Utilities and also to the different industries settled nearby, which are also likely to emit disturbances. In addition, the task of installing the PQ recorder in the electrical cabinets inside the plant demands a considerable time, as well. With the intention of avoiding all the difficulties that can arise when field engineers are searching for a disturbing load, it was considered a great challenge to design a novel device to make the field work simpler. Such a challenge was based on designing a measuring system capable of recording voltage waveforms with no physical contact with the installations and without the assistance of Utilities personnel. In order to achieve this goal an Electric Field Sensor (EFS) was employed in the design of the measuring system. This paper deals with the results of testing an electric field measurement system - completely designed by the authors - for monitoring voltage Flicker and harmonics in overhead power systems [1]-[3]. Some results of field measurements performed in plants containing disturbing loads are shown.","PeriodicalId":433870,"journal":{"name":"2013 IEEE Power & Energy Society General Meeting","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125569417","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 : 2013-07-21DOI: 10.1109/PESMG.2013.6672941
A. Abiri-Jahromi, F. Bouffard
An analytical approach is proposed in this paper to characterize statistical bounds and uncertainties associated with the aggregated response of frequency-sensitive Thermostatically Controlled Loads (TCLs) participating in primary frequency control. A set of random variables is first introduced to exemplify the intrinsic uncertainty associated with the instantaneous power consumption of a single TCL in a population. Physically-based models, laboratory analysis or field measurement data can be employed to characterize the proposed random variables. Then, a bottom-up aggregation methodology and statistical theory are employed to characterize the aggregated response of a population of TCLs. Monte Carlo simulations are used to verify the correctness of the proposed analytics. The proposed methodology can be employed by system operators as well as demand response aggregators to predict the aggregated response of a population of TCLs participating in primary frequency control.
{"title":"Characterizing statistical bounds on aggregated demand-based primary frequency control","authors":"A. Abiri-Jahromi, F. Bouffard","doi":"10.1109/PESMG.2013.6672941","DOIUrl":"https://doi.org/10.1109/PESMG.2013.6672941","url":null,"abstract":"An analytical approach is proposed in this paper to characterize statistical bounds and uncertainties associated with the aggregated response of frequency-sensitive Thermostatically Controlled Loads (TCLs) participating in primary frequency control. A set of random variables is first introduced to exemplify the intrinsic uncertainty associated with the instantaneous power consumption of a single TCL in a population. Physically-based models, laboratory analysis or field measurement data can be employed to characterize the proposed random variables. Then, a bottom-up aggregation methodology and statistical theory are employed to characterize the aggregated response of a population of TCLs. Monte Carlo simulations are used to verify the correctness of the proposed analytics. The proposed methodology can be employed by system operators as well as demand response aggregators to predict the aggregated response of a population of TCLs participating in primary frequency control.","PeriodicalId":433870,"journal":{"name":"2013 IEEE Power & Energy Society General Meeting","volume":"29 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113934658","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 : 2013-07-21DOI: 10.1109/PESMG.2013.6672689
P. R. Gandhi, S. K. Joshi
This paper discusses the design of genetics algorithm based proportional integral derivative-power system stabilizer and Adaptive Neuro Fuzzy Inference System based power system stabilizer for the stability analysis of the single machine infinite bus system. The controller has been used to generate the appropriate supplementary control signal for the excitation system of synchronous generator. The signal generated has been used to damp the low frequency oscillations and improves the performance of power system dynamics. The non- linear simulations of the system has been carried out, which results show the efficacy and capability of two schemes for the design of PSS under the various disturbances and faults conditions.
{"title":"GA and ANFIS based power system stabilizer","authors":"P. R. Gandhi, S. K. Joshi","doi":"10.1109/PESMG.2013.6672689","DOIUrl":"https://doi.org/10.1109/PESMG.2013.6672689","url":null,"abstract":"This paper discusses the design of genetics algorithm based proportional integral derivative-power system stabilizer and Adaptive Neuro Fuzzy Inference System based power system stabilizer for the stability analysis of the single machine infinite bus system. The controller has been used to generate the appropriate supplementary control signal for the excitation system of synchronous generator. The signal generated has been used to damp the low frequency oscillations and improves the performance of power system dynamics. The non- linear simulations of the system has been carried out, which results show the efficacy and capability of two schemes for the design of PSS under the various disturbances and faults conditions.","PeriodicalId":433870,"journal":{"name":"2013 IEEE Power & Energy Society General Meeting","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131440282","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 : 2013-07-21DOI: 10.1109/PESMG.2013.6672727
L. Miller, J. Schoene, R. Kunte, G. Y. Morris
The performance of many existing islanding detection methods for cases with multiple distributed generators within a single island is either inadequate or unknown. The deployment of Smart Grid technologies offers opportunities for improving the islanding detection of a circuit. This paper gives a brief overview of types of islanding detection methods, lists suitability of different types of methods to cases with multiple instances of distributed generation, and discusses impacts of deployment of Smart Grid technologies including increased penetration of communications technology, multifunction distributed energy resource products such as solid state transformers, synchrophasors, smart meters, and electric vehicle service equipment.
{"title":"Smart grid opportunities in islanding detection","authors":"L. Miller, J. Schoene, R. Kunte, G. Y. Morris","doi":"10.1109/PESMG.2013.6672727","DOIUrl":"https://doi.org/10.1109/PESMG.2013.6672727","url":null,"abstract":"The performance of many existing islanding detection methods for cases with multiple distributed generators within a single island is either inadequate or unknown. The deployment of Smart Grid technologies offers opportunities for improving the islanding detection of a circuit. This paper gives a brief overview of types of islanding detection methods, lists suitability of different types of methods to cases with multiple instances of distributed generation, and discusses impacts of deployment of Smart Grid technologies including increased penetration of communications technology, multifunction distributed energy resource products such as solid state transformers, synchrophasors, smart meters, and electric vehicle service equipment.","PeriodicalId":433870,"journal":{"name":"2013 IEEE Power & Energy Society General Meeting","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131938738","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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