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IEEE Power and Energy Society General Meeting

作者： Noha Abdel-Karim Marija Ilic Engineering and Public Policy Department at Carnegie Mellon University Engineering and Public Policy Department and Electric and Computer Engineering Departments at Carnegie Mellon University

ISBN: (纸本)9781467327275

This paper is motivated by the recognition that sources of uncertainties in the electric power systems are multifold and that they may have potentially far-reaching effects. In the past, only system load forecast was considered to be the main challenge. More recently, uncertain price of electricity and hard-to-predict power produced by the renewable resources, such as wind and solar, are making the operating and planning environment much more challenging. It is, therefore, becoming very important to develop modeling methods for predicting uncertain load and wind power, in particular. In this paper we first transform historic time-stamped data into their Fourier Transform (FT) representation. The frequency domain data representation is used to decompose the wind and load power signals and to derive predictive models relevant for short-term and long-term predictions. The short-term results are interpreted next as a Linear Prediction Coding Model (LPC) and its accuracy is analyzed. Next, the Discrete Markov Process (DMP) representation is applied to help assess probabilities of most likely short-, medium- and long-term states and the related multi-temporal risks. Throughout the paper we use publicly available data for the New York Control Area (NYCA).

关键词： Wind Power Prediction Load Power Prediction Short-term Decision Trees for Generation Scheduling Long-Term Decision Trees for Planning Discrete Markov Modeling of Wind Power Wind energy power systems ENERGY SYSTEMS Wind Plant uncertain Linear Prediction Coding Uncertainty renewable resource electrical energy Energy sources LOAD available data paper Sun Electricity

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Generation Cost and System Risk Trade-Off with Corrective Power Flow Control

Generation Cost and System Risk Trade-Off with Corrective Po...

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Annual Allerton Conference on Communication, Control, and Computing

作者： Gabriela Hug Department of Electrical and Computer Engineering and the Department of Engineering and Public Policy Carnegie Mellon University

ISBN: (纸本)9781467345378

Increased penetration of renewable generation and the liberalization of electricity markets result in increasingly varying power flows in the electric power system. This has led to increased occurrences of congestions which are mostly resolved by dispatching generation in an economically suboptimal way. In this paper, we use power flow control to render the system more flexible by providing the capability of rerouting power to lines where sufficient capacity is available. The objective is to minimize a combination of generation cost and a risk-based security index as opposed to formulating a traditional security constrained economic dispatch. In addition, corrective actions by the power flow control devices are used to allow for a less conservative generation dispatch resulting in reduced generation costs while maintaining system security in case of a contingency. Simulation results provide insights into the benefits provided by corrective power flow control in such a trade-off between generation cost and system risk.

关键词： Security Reliability Generators Economics Simulation Power transmission lines Optimization

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A Systems Approach to Teaching Smart Grids

A Systems Approach to Teaching Smart Grids

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IEEE Power and Energy Society General Meeting

作者： Marija Ilic Departments of Electric and Computer Engineering (ECE) Department and the Engineering Public policy (EPP) at Carnegie Mellon University

In this paper we report the approach taken to develop and teach a senior level undergraduate and graduate level course on Smart Grids and Future Electric Energy Systems taught at Carnegie Mellon University and M.I.T. ... 详细信息

ISBN: (纸本)9781467327275

关键词： approach taken senior level covered are described Smart grids Systems approach System analyses Educational needs Course Objectives Graduate Education Pedagogy Teaching ENERGY SYSTEMS level course electrical energy

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An Evaluation of the Georgia Tech Summer Undergraduate Program of Research in electrical engineering for Minorities

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Journal of engineering Education 2013年第3期87卷

作者： Rebecca L. Morley John J. Havick Gary S. May Office of Lead Hazards U.S. Department of Housing and Urban Development School of Public Policy Georgia Institute of Technology School of Electrical and Computer Engineering Georgia Institute of Technology

This paper describes and evaluates the effectiveness of a summer undergraduate research program designed to attract qualified minority students into graduate school in electrical engineering. This eight-week program recruits students of at least junior-level undergraduate standing on a nationwide basis and pairs them with faculty members and graduate student mentors to undertake research. The research activities are conducted in the School of electrical and computer engineering and National Science Foundation engineering (NSF) Research Center in Low-Cost Electronic Packaging at the Georgia Institute of Technology. From 1992–1995, a total of 47 students participated in this program. Thirty-six of these participants were interviewed by phone to obtain qualitative and quantitative information about the program's impact. The findings indicate that 92% of the program participants are either currently enrolled in a graduate program, plan to attend graduate school in the next two years, or have completed a graduate degree. In comparison to a control group of individuals drawn from the membership of the National Society of Black Engineers (NSBE) alumni, it is found that program participants are more likely to pursue advanced degrees and more likely than non-participants to continue their studies in engineering. In addition, participants report higher starting salaries than non-participants. Overall, attitudes toward the program are positive, and the data suggests that GT-SUPREEM does have a significant impact on the student participants.

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Peer Influence and Homophily in the Diffusion of the iPhone 3G in a Very Large Social Network

Peer Influence and Homophily in the Diffusion of the iPhone ...

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IEEE International Conference on and IEEE International Confernece on Social Computing (SocialCom) Privacy, Security, Risk and Trust (PASSAT)

作者： Miguel Godinho de Matos Pedro A. Ferreira David Krackhardt Departtnent of Electrical and Computer Engineering Instituto Superior Tecnico Department of Engineering and Public Policy Carnegie Mellon University Heinz School of Public Policy Carnegie Mellon University

This paper studies the effects of peer influence and homophily on the diffusion of the iPhone 3G across a number of communities sampled from a large dataset from a major European Mobile carrier in one country. We use Stochastic Actor Based Models to capture the co-evolution of the social network as well as the dynamics of adoption. This helps to separate the roles of homophily and peer influence in the process of diffusion. We provide evidence that the propensity of a subscriber to adopt, when she is called upon to make a decision about whether she should adopt, increases with the number of friends that have already adopted. A one standard deviation increase above the mean in the number of friends that had already adopted increases the likelihood odds of adoption relative to no adoption by a factor of 2.8. The effect of peer influence is robust across a number of different specifications. The results for the effect of homophily are less clear. While, on average, we find a positive significant effect of adoption on tie formation, in many communities this effect is significant and negative and in others there is no effect at all.

关键词： Communities Telephone sets Social network services Correlation Mobile communication Educational institutions Europe

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Erratum to: Methods for evaluating medical tests and biomarkers

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Diagnostic and prognostic research 2017年第1期1卷 11页

作者： Gowri Gopalakrishna Miranda Langendam Rob Scholten Patrick Bossuyt Mariska Leeflang Anna Noel-Storr James Thomas Iain Marshall Byron Wallace Penny Whiting Clare Davenport Gowri GopalaKrishna Isabel de Salis Sue Mallett Robert Wolff Richard Riley Marie Westwood Jos Kleinen Gary Collins Hans Reitsma Karel Moons Antonia Zapf Annika Hoyer Katharina Kramer Oliver Kuss J Ensor J J Deeks E C Martin R D Riley Gerta Rücker Susanne Steinhauser Martin Schumacher Joie Ensor Kym Snell Brian Willis Thomas Debray Jon Deeks Lavinia Ferrante di Ruffano Sian Taylor-Phillips Chris Hyde Stuart A Taylor Gauraang Batnagar Lavinia Ferrante Di Ruffano Farah Seedat Aileen Clarke Sarah Byron Frances Nixon Rebecca Albrow Thomas Walker Carla Deakin Zhivko Zhelev Harriet Hunt Yaling Yang Lucy Abel James Buchanan Thomas Fanshawe Bethany Shinkins Laure Wynants Jan Verbakel Sabine Van Huffel Dirk Timmerman Ben Van Calster Aeliko Zwinderman Jason Oke Jack O'Sullivan Rafael Perera Brian Nicholson Hannah L Bromley Tracy E Roberts Adele Francis Denniis Petrie G Bruce Mann Kinga Malottki Holly Smith Lucinda Billingham Alice Sitch Oke Gerke Mie Holm-Vilstrup Eivind Antonsen Segtnan Ulrich Halekoh Poul Flemming Høilund-Carlsen Bernard G Francq Jac Dinnes Julie Parkes Walter Gregory Jenny Hewison Doug Altman William Rosenberg Peter Selby Julien Asselineau Paul Perez Aïssatou Paye Emilie Bessede Cécile Proust-Lima Christiana Naaktgeboren Joris de Groot Anne Rutjes Johannes Reitsma Emmanuel Ogundimu Jonathan Cook Yannick Le Manach Yvonne Vergouwe Romin Pajouheshnia Rolf Groenwold Karen Moons Linda Peelen Daan Nieboer Bavo De Cock Micael J Pencina Ewout W Steyerberg Jennifer Cooper Nick Parsons Chris Stinton Steve Smith Andy Dickens Rachel Jordan Alexandra Enocson David Fitzmaurice Peymane Adab Charles Boachie Gaj Vidmar Karoline Freeman Martin Connock Rachel Court Carl Moons Jessica Harris Andrew Mumford Zoe Plummer Kurtis Lee Barnaby Reeves Chris Rogers Veerle Verheyden Gianni D Angelini Gavin J Murphy Jeremy Huddy Melody Ni Katherine Good Graham Cooke 1Department of Clinical Epidemiology Biostatistics & Bioinformatics Academic Medical Center University of Amsterdam Amsterdam The Netherlands. 2Cochrane Netherlands Julius Center for Health Sciences and Primary Care University Medical Center Utrecht Utrecht Netherlands. 234Department of Clinical Epidemiology Biostatistics & Bioinformatics Academic Medical Center University of Amsterdam Amsterdam The Netherlands. 49Department of Clinical Epidemiology Biostatistics & Bioinformatics Academic Medical Center University of Amsterdam Amsterdam The Netherlands. 3Cochrane Dementia and Cognitive Improvement Group University of Oxford Oxford UK. 4EPPI-Centre Department of Social Science University College London London UK. 5Division of Health and Social Care Research King's College London London UK. 6College of Computer and Information Science Northeastern University Boston USA. 13University Hospitals Bristol NHS Foundation Trust School of Social and Community Medicine Bristol UK. 275Institute of Applied Health Research University of Birmingham Birmingham UK. 9Department of Clinical Epidemiology Biostatistics & Bioinformatics Academic Medical Center University of Amsterdam Amsterdam The Netherlands. 10School of Social and Community Medicine University of Bristol Bristol UK. 179Institute of Applied Health Research University of Birmingham Birmingham UK. 12Kleijnen Systematic Reviews Ltd York UK. 25Research Institute for Primary Care and Health Sciences Keele University Keele UK. 188Centre for Statistics in Medicine Nuffield Department of Orthopaedics Rheumatology and Musculoskeletal Sciences University of Oxford Oxford UK. 191Julius Center for Health Sciences and Primary Care University Medical Center Utrecht 3584 CG Utrecht Netherlands. 237Julius Center for Health Sciences and Primary Care University Medical Center Utrecht 3584 CG Utrecht Netherlands. 18Department of Medical Statistics University Medical Center Göttingen Göttingen Germany. 19Institute for B

[This corrects the article DOI: 10.1186/s41512-016-0001-y.].

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Small signal stability and centralized control design of modern distribution systems

Small signal stability and centralized control design of mod...

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43rd North American Power Symposium, NAPS 2011

作者： Honarvar Nazari, Masoud Electrical and Computer Engineering and Engineering and Public Policy Carnegie Mellon University Pittsburgh PA United States

ISBN: (纸本)9781457704192

This paper investigates small signal stability and designing advanced centralized control to enhance robustness and dynamic performance of a modern distribution system with high penetration of distributed generators (DG). The paper mainly concerns comparison of classical, H2 and H ∞ control strategies on system stability. The target performance is to satisfy stability of the system and improve nominal performance of DGs. Therefore, first we design a base controller for the system using classic control. Then, H2 and H∞ control systems are designed in order to warrant both nominal stability and dynamic performance of the system. Finally, the results of three control strategies are compared and the general findings of the paper are discussed. © 2011 IEEE.

关键词： Integrated control

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PMU based transient stabilization using FACTS

PMU based transient stabilization using FACTS

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2011 IEEE/PES Power Systems Conference and Exposition, PSCE 2011

作者： Cvetković, Miloš Ilić, Marija Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA 15213 United States Carnegie Mellon University Electrical and Computer Engineering and Engineering and Public Policy Departments Pittsburgh PA United States Control of Future Electricity Network Operations at Delft University of Technology Delft Netherlands

ISBN: (纸本)9781612847870

Phasor Measurement Units (PMU) and Flexible AC Transmission Systems (FACTS) have great potential for stabilizing response of the power grid to the large disturbances. A combination of both technologies can result in very powerful near-real time sensing and control capable of monitoring and counteracting the effects of very fast disturbances. In this paper we propose fast switching of FACTS devices which is guaranteed to transiently stabilize the system using very fast and accurate PMU measurements. The nonlinear control law proposed in this paper is based and designed upon understanding the physical system-wide effects of a fault. The control law can be interpreted in terms of controling stored energy flow dynamics and it is also derived using energy-based high gain control methods for nonlinear systems. As such, it is entirely scalable and applicable to any size system. The location of PMUs and the design of systemwide communications for given locations of FACTS devices is directly determined using the designed control law. FACTS control of this type would not be possible without having the accuracy and sampling rate of PMUs. © 2011 IEEE.

关键词： Phasor measurement units

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Costs and benefits of transmission congestion management

Costs and benefits of transmission congestion management

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2011 IEEE/PES Power Systems Conference and Exposition, PSCE 2011

作者： Ilić, Marija D. Bachovchin, Kevin D. Lewis, Amelia S. Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA 15213 United States Carnegie Mellon University Pittsburgh PA United States Electrical and Computer Engineering and Engineering and Public Policy Departments United States Control of Future Electricity Network Operations Delft University of Technology Delft Netherlands

ISBN: (纸本)9781612847870

Transmission congestion is a major economic and reliability concern in today's electric power systems. However, as the industry undergoes changes, it becomes critically important to better understand the fundamental role of transmission and its technical and financial effects on the electricity provision. Thermal limits, voltage drop regulation, and voltage stability limits are among the most common causes of transmission congestion. In order to relieve congestion, new transmission can be built or reactive power control can be installed. In this paper, simple power systems are analyzed in order to compare costs of different ways of reducing congestion. The length of a transmission line determines the cause and the most cost effective solution. For short lines, the thermal limit is the limiting factor in determining the maximum power flow and building new transmission is the only effective solution. For longer lines, the voltage drop regulation is the limiting factor and adding a shunt capacitor is the most cost effective solution. © 2011 IEEE.

关键词： Cost effectiveness

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Robust state-estimation procedure using a least trimmed squares pre-processor

Robust state-estimation procedure using a least trimmed squa...

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2011 IEEE PES Innovative Smart Grid Technologies, ISGT 2011

作者： Weng, Yang Negi, Rohit Liu, Qixing Ilić, Marija D. Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA 15213 United States Carnegie Mellon University Pittsburgh PA United States Electrical and Computer Engineering and Engineering and Public Policy Departments United States Department of Control of Future Electricity Network Operations Delft University of Technology Delft Netherlands

ISBN: (纸本)9781612842189

Based on real-time measurements, Static State Estimation serves as the foundation for monitoring and controlling the power grid. The popular weighted least squares with largest normalized residual removed, gives satisfactory performance when dealing with single or multiple uncorrelated bad data. However, when the bad data are correlated or bounded, this estimator has poor performance in detecting bad data, which leads to erroneous deleting of normal measurements. Similar to the Least Trimmed Squares(LTS) method of robust statistics, this paper considers a state estimator built on random sampling. However, different from previous robust estimators, which stop after estimation, we regard the LTS estimator as a pre-processor to detect bad data. A subsequent post-processor is employed to eliminate bad data and re-estimate the state. The new method has been tested on the IEEE standard power networks with random bad data insertions, showing improved performance over other proposed estimators. © 2011 IEEE.

关键词： IEEE Standards

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