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检索条件"机构=Control of Future Electricity Network Operations in the Faculty of Technology"

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intelligent Balancing Authorities (iBAs) for Transient Stabilization of Large Power Systems

intelligent Balancing Authorities (iBAs) for Transient Stabi...

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IEEE Power and Energy Society General Meeting

作者： Stefanos Baros Marija Ilic Department of Electrical and Computer Engineering Carnegie Mellon University Control of Future Electricity Network Operations at Delft University of Technology in Delft

ISBN: (纸本)9781479964161

This paper proposes the establishment of intelligent Balancing Authorities (iBAs), to supplement the role of the existing Balancing Areas (BAs) whose performance specifications are for normal operations conditions only. These iBAs would be portofolia of controllable equipment responsible for having adequate control to ensure stability and good dynamic response of their own areas, as well as limited dynamic interactions with the rest of the grid. These controllable portofolia may include fast storage, batteries, FACTS, and/or flywheels to supplement existing AVR and PSS control. It is illustrated in this paper on the IEEE RTS 24 bus system how would boundaries of iBAs be determined for given set of contingencies.

关键词： Balancing Areas (BAs) Intelligent Balancing Authorities (iBAs) Transient stabilization Large electric power systems Nonlinear control

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Nonlinear control for stabilizing power systems during major disturbances

Nonlinear control for stabilizing power systems during major...

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

ISBN: (纸本)9783902661937

In this paper we revisit state-of-the-art methods for stabilizing the dynamics of electric power systems during major changes. A modeling framework which lends itself to energy function-based transient stabilization is introduced for purposes of stabilizing kinetic energy in generators by means of managing stored energy in Flexible AC Transmission System (FACTS) devices embedded in the transmission system. This approach sets the basis for placement of Phasor Measurement Units (PMU) and communications architecture between the generators and FACTS devices capable of transiently stabilizing system dynamics. It is shown that this approach greatly improves the critical clearing time when compared to other proposed methods. This work opens a new direction toward using fast PMUs and communications to transiently stabilize the system © 2011 IFAC.

关键词： Kinetic energy

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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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Robust state-estimation procedure using a Least Trimmed Squares pre-processor

Robust state-estimation procedure using a Least Trimmed Squa...

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Innovative Smart Grid Technologies (ISGT)

作者： Yang Weng Rohit Negi Qixing Liu Marija D. Ilić Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA USA Carnegie Mellon University Pittsburgh PA USA Electrical and Computer Engineering Control of Future Electricity Network Operations at Delft University of Technology in Delft Delft The Netherlands

关键词： Gaussian noise Pollution measurement State estimation Voltage measurement Noise measurement Power measurement Measurement uncertainty

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Dynamic stability and control design of modern electric energy systems with large penetration of distributed generators

Dynamic stability and control design of modern electric ener...

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2010 IREP Symposium - Bulk Power System Dynamics and control - VIII, IREP2010

作者： Nazari, Masoud Honarvar Ilic, Marija Lopes, J.A. Peças Carnegie Mellon University Pittsburgh PA United States Electrical Engineering Department Porto University Portugal Electrical and Computer Engineering and Engineering and Public Policy Departments Portugal Control of Future Electricity Network Operations Faculty of Technology Policy and Management Delft University of Technology Delft Netherlands Department of Electrical Engineering Faculty of Engineering University of Porto Portugal Portugal

ISBN: (纸本)9781424474677

This paper investigates dynamic stability and control design of modern electric energy systems as many MW-scale distributed generators (DG) of various types are deployed in the distribution side of electric systems. The paper is mainly concerned about small-signal frequency stability of distribution systems with decentralized or centralized control systems. The Gerschgorin Circle Theory and Hicks Stability Theory are used for verifying sufficient conditions for small-signal stability. The paper also discusses about designing advanced enhancing robustness methods to ensure both safety and stability of modern distribution systems. Finally, the paper closes with a discussion of policies needed to support large penetration of DG units in distribution systems to ensure safety and robustness of the system. ©2010 IEEE.

关键词： Distributed power generation

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Dynamic stability and control design of modern electric energy systems with large penetration of distributed generators

Dynamic stability and control design of modern electric ener...

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iREP Symposium on Bulk Power System Dynamics and control

作者： M. Honarvar Nazari M. Ilić J. Peças Lopes Electrical Engineering K.N. Toosi University of Technology Iran Energy Systems Engineering Sharif University of Technology Iran Carnegie Mellon University Pittsburgh PA USA Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge MA USA University of Illinois Urbana-Champaign USA Control of Future Electricity Network Operations in the Faculty of Technology Delft University of Technnology Delft Netherlands Cornell University Ithaca NY USA Department of Electrical Engineering of the Faculty of Engineering of University of Porto Portugal

关键词： Stability criteria Centralized control Power system stability Distributed control Frequency control Mathematical model

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Integration of intermittent resources with price-responsive loads

Integration of intermittent resources with price-responsive ...

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41st North American Power Symposium, NAPS 2009

作者： Xie, Le Joo, Jhi-Young Ilić, Marija D. Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA United States Control of Future Electricity Network Operations Delft University of Technology Delft Netherlands

ISBN: (纸本)9781424444281

This paper concerns the near-real time supply and demand balancing problem in the changing electric energy industry. In particular, potential dispatch problems in the presence of hard-to-control wind and solar power have emerged as the key industry concern. Our work evolves around the idea that the more predictive information about wind power output is known and the more carefully this information is included dynamically, the more effective integration of intermittent power will be. In this paper we recognize that a combination of predicted wind power and ahead-of-time knowledge of customers' willingness to adjust their consumption at a price could result in even more effective system-wide supply and demand balancing. We generalize our recent work which is based on the look-ahead model-predictive control approach to the wind power integration. A Markov model for predicting wind power is used to determine the optimal amount of wind power to be sent to the grid in order to balance demand while accounting for the limiting ramping rates of other power plants. As expected, utilizing the full wind power output is sub-optimal and different technologies will be needed to utilize this clean energy resource fully as it is made available. Different storage technologies as well as adaptive demand-side response are such key candidates. In this paper we generalize our recently proposed look-ahead model predictive dispatch to integrate the price-responsive *** show using the IEEE 14 bus example potential benefits from simultaneous dispatch of both conventional power plants characterized by their inherently limiting ramping rates and the price-responsive demand characterized by its demand function. A comparison is made to the dispatch without active demand-side adaptation.

关键词： Wind power

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Integration of intermittent resources with price-responsive loads

Integration of intermittent resources with price-responsive ...

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Annual North-American Power Symposium

作者： Le Xie Jhi-Young Joo Marija D. Ilić Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA USA Honorary Chaired Professor for Control of Future Electricity Network Operations Delft University of Technology Delft The Netherlands

ISBN: (纸本)9781424444281

This paper concerns the near-real time supply and demand balancing problem in the changing electric energy industry. In particular, potential dispatch problems in the presence of hard-to-control wind and solar power have emerged as the key industry concern. Our work evolves around the idea that the more predictive information about wind power output is known and the more carefully this information is included dynamically, the more effective integration of intermittent power will be. In this paper we recognize that a combination of predicted wind power and ahead-of-time knowledge of customers' willingness to adjust their consumption at a price could result in even more effective system-wide supply and demand balancing. We generalize our recent work which is based on the look-ahead model-predictive control approach to the wind power integration. A Markov model for predicting wind power is used to determine the optimal amount of wind power to be sent to the grid in order to balance demand while accounting for the limiting ramping rates of other power plants. As expected, utilizing the full wind power output is sub-optimal and different technologies will be needed to utilize this clean energy resource fully as it is made available. Different storage technologies as well as adaptive demand-side response are such key candidates. In this paper we generalize our recently proposed look-ahead model predictive dispatch to integrate the price-responsive demand. We show using the IEEE 14 bus example potential benefits from simultaneous dispatch of both conventional power plants characterized by their inherently limiting ramping rates and the price-responsive demand characterized by its demand function. A comparison is made to the dispatch without active demand-side adaptation.

关键词： Wind energy Supply and demand Predictive models Power system modeling Wind energy generation Power system economics Power generation economics Economic forecasting USA Councils electricity supply industry

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