{"title":"A tool for optimal PSS tuning for the Colombian power system","authors":"N. Castrillón, H. M. Sanchez, J. Á. Perez","doi":"10.1109/TDC.2014.6863543","DOIUrl":"https://doi.org/10.1109/TDC.2014.6863543","url":null,"abstract":"This work presents the development and comparison of three heuristics optimization algorithms to adjust the parameters of power system stabilizers (PSS). These methods are Tabu Search, PSO (Particle Swarm Optimization) and EPSO (Evolutionary Particle Swarm Optimization). The performance of these techniques is evaluated in terms of improvement in the system damping of Colombian power system oscillations, through simulations in Matlab and DigSilent Power Factory. The cost function for every algorithm is based on the minimization of the phase lag between the Automatic Voltage Regulator, and the electrical torque. This approach, supported in the frequency domain analysis, ensures the best performance of the PSS along a very wide range of oscillation modes avoiding high time consuming analytical calculations and improving Colombian power system stability margins.","PeriodicalId":161074,"journal":{"name":"2014 IEEE PES T&D Conference and Exposition","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124100999","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}
{"title":"Analytic nonlinear correction to the impedance boundary condition","authors":"Bob Del Vecchio, R. Ahuja","doi":"10.1109/TDC.2014.6863433","DOIUrl":"https://doi.org/10.1109/TDC.2014.6863433","url":null,"abstract":"The linear impedance boundary condition is based on the solution of Maxwell's equations for a slab of conducting material with a constant permeability and a given tangential surface magnetic field. The permeability is assumed high enough that the eddy currents are confined to a narrow thickness near the surface. By solving these equations for a similar geometry but with a nonlinear B-H curve, the losses obtained were compared with the linear losses and a correction factor obtained. This correction factor is a function of the surface magnetic field and can be implemented in finite element programs. Using this approach, the stray losses obtained with a finite element program were in good agreement with the tested losses for a variety of transformers.","PeriodicalId":161074,"journal":{"name":"2014 IEEE PES T&D Conference and Exposition","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125990778","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}
{"title":"Probabilistic transformer fault tree analysis using Bayesian networks","authors":"L. Cheim, Lan Lin, A. Dagnino","doi":"10.1109/TDC.2014.6863177","DOIUrl":"https://doi.org/10.1109/TDC.2014.6863177","url":null,"abstract":"This paper describes a novel application of probabilistic Bayesian networks for the identification of faulty conditions in power transformers, based on the well-known fault tree analysis procedure. The proposed technique emulates human judgment by the construction of a Bayesian net which closely resembles the structure of a typical expert-built power transformer fault tree. The proposed solution will be exemplified with test data from real cases.","PeriodicalId":161074,"journal":{"name":"2014 IEEE PES T&D Conference and Exposition","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124769661","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}
Brandon J. Johnson, M. Starke, Omar A. Abdelaziz, R. Jackson, L. Tolbert
{"title":"A MATLAB based occupant driven dynamic model for predicting residential power demand","authors":"Brandon J. Johnson, M. Starke, Omar A. Abdelaziz, R. Jackson, L. Tolbert","doi":"10.1109/TDC.2014.6863381","DOIUrl":"https://doi.org/10.1109/TDC.2014.6863381","url":null,"abstract":"This paper presents a MATLAB based dynamic model for predicting residential power demand. Markov chain based occupant behavior models developed using data gathered by the U.S. Census Bureau in the American Time Use Survey (ATUS) are used in conjunction with models of the most common residential loads to predict residential power demand on a one-second time scale. First, the methods utilized for the modeling of each residential load are presented. Next, an explanation of how these load models are combined with occupant behavior models to predict residential power demand is given. Simulation results showing the overall contribution of each load to the overall residential sector power demand are shown for both winter and summer cases. Finally, future work will involve the use of this high-resolution dynamic residential model to estimate the potential for demand response from residential loads.","PeriodicalId":161074,"journal":{"name":"2014 IEEE PES T&D Conference and Exposition","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129487973","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}
F. Bai, Yilu Liu, K. Sun, N. Bhatt, A. del Rosso, E. Farantatos, Xiaoru Wang
{"title":"Input signals selection for measurement-based power system ARX dynamic model response estimation","authors":"F. Bai, Yilu Liu, K. Sun, N. Bhatt, A. del Rosso, E. Farantatos, Xiaoru Wang","doi":"10.1109/TDC.2014.6863480","DOIUrl":"https://doi.org/10.1109/TDC.2014.6863480","url":null,"abstract":"This paper proposes a measurement-based approach to optimize the inputs of Auto-Regressive with eXogenous input (ARX) model identification in large power systems. Correlation Coefficient Index (CCI) is defined in this paper and Correlation Coefficient Map (CCM) is developed for the US Eastern Interconnection (EI) to show the correlation between any two power system output measurement signals visually. This approach is verified with EI system simulation data and applied to Frequency Disturbance Recorder (FDR) measurement data to estimate system dynamic response. The verification result shows that the number of ARX model inputs can be decreased and the estimation accuracy can be ensured by using the proposed approach.","PeriodicalId":161074,"journal":{"name":"2014 IEEE PES T&D Conference and Exposition","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128669593","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}
{"title":"Fault Induced Delayed Voltage Recovery (FIDVR) indicators","authors":"R. Bravo, R. Yinger, Patricia L. Arons","doi":"10.1109/TDC.2014.6863324","DOIUrl":"https://doi.org/10.1109/TDC.2014.6863324","url":null,"abstract":"This paper presents Fault Induced Delayed Voltage Recovery (FIDVR) indicators observed before, during and after several events in Southern California. The purpose of this paper is to educate utilities, independent system operators (ISOs), generator owners, customers, equipment manufacturers, and other entities involved with the production, transmission, distribution, and consumption of electricity based on our observations from our own experiences and from our review of the experiences of others. We believe the information in this paper can be used by ISOs for real-time FIDVR identification so that appropriate measures are used to stabilize the system. The observations presented may also be useful to load equipment manufacturers when designing electrical equipment with the capability of riding through these events.","PeriodicalId":161074,"journal":{"name":"2014 IEEE PES T&D Conference and Exposition","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125665656","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}
K. A. Aravind, B. Krishna, D. Devendranath, I. Jha, B. N. D. Bhowmick, S. B. R. Rao, B. S. Kumar
{"title":"Extremely low frequency electric and magnetic field strengths of 400 kV transmission lines and 400kV sub-stations","authors":"K. A. Aravind, B. Krishna, D. Devendranath, I. Jha, B. N. D. Bhowmick, S. B. R. Rao, B. S. Kumar","doi":"10.1109/TDC.2014.6863510","DOIUrl":"https://doi.org/10.1109/TDC.2014.6863510","url":null,"abstract":"Electromagnetic wave consists of an electric field and a magnetic field at right angles to each other and to the direction of the motion of the wave. Frequency and wavelength characterize an electromagnetic field. In an electromagnetic wave, these two characteristics are directly related to each other: the higher the frequency the shorter the wavelength. ELF fields generally have frequencies up to 300 Hz. Other technologies produce intermediate frequency (IF) fields with frequencies from 300 Hz to 10 MHz and radiofrequency (RF) fields with frequencies of 10 MHz to 300 GHz. The effects of electromagnetic fields on the human body depend not only on their field level but on their frequency and energy. These fields are required to be limited to the prescribed values in the respective frequency ranges in order to avoid the effects such as heating and electric shock.","PeriodicalId":161074,"journal":{"name":"2014 IEEE PES T&D Conference and Exposition","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130539917","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}
{"title":"Joint seasonal ARMA approach for modeling of load forecast errors in planning studies","authors":"R. Hafen, N. Samaan, Y. Makarov, R. Diao, N. Lu","doi":"10.1109/TDC.2014.6863150","DOIUrl":"https://doi.org/10.1109/TDC.2014.6863150","url":null,"abstract":"To make informed and robust decisions in the probabilistic power system operation and planning process, it is critical to conduct multiple simulations of the generated combinations of wind and load parameters and their forecast errors to handle the variability and uncertainty of these time series. In order for the simulation results to be trustworthy, the simulated series must preserve the salient statistical characteristics of the real series. In this paper, we analyze day-ahead load forecast error data from multiple balancing authority locations and characterize statistical properties such as mean, standard deviation, autocorrelation, correlation between series, time-of-day bias, and time-of-day autocorrelation. We then construct and validate a seasonal autoregressive moving average (ARMA) model to model these characteristics, and use the model to jointly simulate day-ahead load forecast error series for all BAs.","PeriodicalId":161074,"journal":{"name":"2014 IEEE PES T&D Conference and Exposition","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132381729","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}
A. Mercier, Serge De Carufel, Y. Filion, E. Portales, J. Caron, P. Taillefer
{"title":"Upgrading HVAC circuit breakers using controlled switching: Hydro-Québec's 20 year experience","authors":"A. Mercier, Serge De Carufel, Y. Filion, E. Portales, J. Caron, P. Taillefer","doi":"10.1109/TDC.2014.6863249","DOIUrl":"https://doi.org/10.1109/TDC.2014.6863249","url":null,"abstract":"Switching reactive components with a high voltage circuit breaker (CB) can generate transients on the electrical network that decrease power quality and produce excessive stresses on the power apparatus. While conventional solutions provide some degree of mitigation, a more effective and reliable solution has been successfully deployed and validated: Controlled Switching (CS). Furthermore, to extend the useful life of the existing CB and prevent its costly replacement, this solution has been retrofitted on more than 140 CBs over the last 20 years on the Hydro-Québec network. The technology has evolved considerably in the last ten years. Initially used for shunt reactors, then for shunt capacitor banks, this proven technology is now often applied to the energization of unloaded power transformers, as well. No matter the application type, CS retrofitting has proven to be effective on CBs from a variety of manufacturers and technologies. From this long experience, many lessons have been learned and innovative ideas developed regarding optimal target specifications, switching strategies, commissioning procedures and the valorization of data recorded during switching events. Using acquisition functionalities that are intrinsic to the Controlled Switching Device (CSD), it is now possible to go beyond theoretical principles and optimize the simulation models through analysis of field measurements. The ongoing process of data collection offers the possibility of expanding the knowledge in this field and improving the diagnostics of related equipment. It also allows the industrial partners to apply these developments to new applications such as Flexible AC Transmission Systems (FACTS), power line energization, fast switching and wind farm connection to the distribution network.","PeriodicalId":161074,"journal":{"name":"2014 IEEE PES T&D Conference and Exposition","volume":"37 9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132890469","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}
R. Girard, Vincent Barbesant, Fiona Foucault, G. Kariniotakis
{"title":"Fast dynamic programming with application to storage planning","authors":"R. Girard, Vincent Barbesant, Fiona Foucault, G. Kariniotakis","doi":"10.1109/TDC.2014.6863551","DOIUrl":"https://doi.org/10.1109/TDC.2014.6863551","url":null,"abstract":"In this paper we propose a new class of algorithms that allows to solve a class of optimization problems including that of finding an optimal storage policy. The proposed algorithm is fast with a quadratic time or even quasi linear time in some cases. The gain in term of complexity with regard to the use of a commercial linear solver is shown empirically. A freely available package in the R statistical software has been implemented and is presented here. Possible extension to more complex framework are presented. This paper ends with an example of application for the determination of the market revenue of a storage device in a local price market as a function of location, energy capacity and power limits.","PeriodicalId":161074,"journal":{"name":"2014 IEEE PES T&D Conference and Exposition","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130398831","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}