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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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ESICM LIVES 2016: part one Milan, Italy. 1-5 October 2016 Abstracts

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INTENSIVE CARE MEDICINE EXPERIMENTAL 2016年第SUPPL 1期4卷 1-1页

作者： [Anonymous] Academic Medical Center University of Amsterdam Amsterdam Netherlands UMCU Utrecht Netherlands Autonomous University of Barcelona Barcelona Spain Hospital São Francisco Xavier Lisbon Portugal CHU Henri Mondor Medical ICU Créteil France Université de Paris Est-Créteil Groupe de Recherche Clinique CARMAS Créteil France Hôpital Tenon APHP Medical and Surgical ICU Paris France Université Paris Diderot Sorbonne Paris Cité UMR 1153 Paris France Interdepartmental Division of Critical Care University of Toronto Toronto Canada University Health Network University of Toronto Critical Care Medicine Toronto Canada University of Milan - Bicocca Health Sciences School of Medicine and Surgery Monza Italy St Michael’s Hospital University of Toronto Anesthesia Toronto Canada CHU d’Angers Medical ICU Angers France Interdepartmental Division of Critical Care University of Toronto Saint Michael’s Hospital and Keenan Research Centre Toronto Canada University of Birmingham Institute for Inflammation and Ageing Birmingham UK University of Sheffield Mathematics and Statistics Help Centre Sheffield UK Heart of England NHS Foundation Trust Intensive Care Medicine Birmingham UK Department of Surgery University Hospitals Birmingham NHS Trust Birmingham UK University Hospitals Birmingham NHS Trust Anaesthesia and Critical Care Medicine Birmingham UK Queen’s University of Belfast Wellcome-Wolfson Institute for Experimental Medicine Belfast UK Royal Victoria Hospital Intensive Care Medicine Belfast UK University of Warwick Warwick Clinical Trials Unit Coventry UK University of Bari ‘Aldo Moro’ Bari Italy Hospital Israelita Albert Einstein São Paulo Brazil Mayo Clinic Jacksonville USA Mahidol University Faculty of Tropical Medicine Bangkok Thailand University Medical Center Utrecht Intensive Care Utrecht Netherlands University Medical Center Utrecht Julius Center for Health Sciences and Primary Care Utrecht Netherlands Academic Medical Center University of Amste

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Power flow optimization using positive quadratic programming *

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IFAC Proceedings Volumes 2011年第1期44卷 10481-10486页

作者： Javad Lavei Anders Rantzer Stephen Low Department of Control and Dynamical Systems Caltech Automatic Control LTH Lund University Sweden Steven H. Low is with the Computer Science and Electrical Engineering Departments Caltech

Abstract The problem to minimize power losses in an electrical network subject to voltage and power constraints is in general hard to solve. However, it has recently been discovered that semidefinite programming relaxations in many cases enable exact computation of the global optimum. Here we point out a fundamental reason for the successful relaxations, namely that the passive network components give rise to matrices with nonnegative offdiagonal entries. Recent progress on quadratic programming with Metzler matrix structure can therefore be applied.

关键词： Power flow optimization relaxation analysis

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Optimal Charging of Plug-in Hybrid Electric Vehicles in Smart Grids

Optimal Charging of Plug-in Hybrid Electric Vehicles in Smar...

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IEEE Power and Energy Society General Meeting

作者： Somayeh Sojoudi Steven H. Low Department of Control and Dynamical Systems California Institute of Technology Computer Science and Electrical Engineering Departments California Institute of Technology

ISBN: (纸本)9781457710001

Plug-in hybrid electric vehicles (PHEVs) play an important role in making a greener future. Given a group of PHEVs distributed across a power network equipped with the smart grid technology (e.g. wireless communication devices), the objective of this paper is to study how to schedule the charging of the PHEV batteries. To this end, we assume that each battery must be fully charged by a pre-specified time, and that the charging rate can be time-varying at discrete-time instants. The scheduling problem for the PHEV charging can be augmented into the optimal power flow (OPF) problem to obtain a joint OPF-charging (dynamic) optimization. A solution to this highly nonconvex problem optimizes the network performance by minimizing the generation and charging costs while satisfying the network, physical and inelastic-load constraints. A global optimum to the joint OPF-charging optimization can be found efficiently in polynomial time by solving its convex dual problem whenever the duality gap is zero for the joint OPF-charging problem. It is shown in a recent work that the duality gap is expected to be zero for the classical OPF problem. We build on this result and prove that the duality gap is zero for the joint OPF-charging optimization if it is zero for the classical OPF problem. The results of this work are applied to the IEEE 14 bus system.

关键词： Smart grids optimal charging charging Polynomial time Power grids CHARGING(ACCOUNTTNG) Zero Joints Joints charging rate Batteries Hybrid electric vehicles

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Effect of buffers on stability of Internet congestion controllers

Effect of buffers on stability of Internet congestion contro...

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IEEE Annual Joint Conference: INFOCOM, IEEE computer and Communications Societies

作者： Somayeh Sojoudi Steven H. Low John C. Doyle Department of Control and Dynamical Systems California Institute of Technology USA Computer Science and Electrical Engineering Departments California Institute of Technology USA

Almost all existing fluid models of congestion control assume that the fluid flow at the output of a link is the same as the fluid flow at the input of the link. This means that all links in the path of a flow see the original source rate. In reality, a fluid flow is modified by the queueing processes on its path, so that an intermediate link will generally not see the original source rate. In this paper, we propose a simple model that explicitly takes into account of the effect of buffering on output flows. We study the dual and primal-dual algorithms that use implicit feedback and show that, while they are always asymptotically stable if feedback delay is ignored, they can be unstable in the new model.

关键词： Heuristic algorithms Equations Delay Stability analysis Asymptotic stability Aggregates Internet

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Robust H∞ control of switched uncertain time-varying delay discrete-time systems via dynamic output feedback

Robust H∞ control of switched uncertain time-varying delay ...

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International Conference on Electrical and Electronics engineering, ELECO

作者： Zhengui Song Gyorgyi Dimirkovsky Jun Zhao Institute of Integrated Process Automation College of Information Science & Engineering Northeastern University Shenyang Liaoning China Institute of Automation & Systems Engineering Faculty of Electrical Engineering & Information Technologies Ss Cyril and Methodius University Skopje Macedonia Departments of Computer Engineering & Control Engineering Faculty of Engineering Dogus University Kadikoy Istanbul Turkey

Robust H ∞ output feedback control problem for a class of switched linear discrete-time systems possessing norm-bounded uncertainty and time-varying delay is investigated. A switched dynamic output feedback controller is sought that can robust exponentially stabilize and reduce to a prescribed level the effect of disturbance input on the controlled output in the closed loop. A delay-dependent linear matrix inequality based sufficient condition for the problem to be solvable is derived via the switched Lyapunov functions. controller design is performed by solving a set of linear matrix inequalities. An illustrative example along with simulation results is given to demonstrate the validity of these novel derivations.

关键词： Switches Robustness Output feedback Linear matrix inequalities Switched systems Delay

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Sliding mode control of switched uncertain linear systems: Designing robust H∞ sliding surface

Sliding mode control of switched uncertain linear systems: D...

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International Conference on Electrical and Electronics engineering, ELECO

作者： Jie Lian Gyorgyi Dimirkovsky Jun Zhao Institute of Integrated Process Automation College of Information Science & Engineering Northeastern University Shenyang Liaoning China Institute of Automation & Systems Engineering Faculty of Electrical Engineering & Information Technologies Ss Cyril and Methodius University Skopje Macedonia Departments of Computer Engineering & Control Engineering Faculty of Engineering Dogus University Kadikoy Istanbul Turkey

The robust H ∞ control problem for a class of uncertain switched linear systems by using the variable structure control is investigated. A robust H ∞ single sliding surface is shown to exist as long as a convex combination of the subsystems of the switched system is robustly stabilizable with disturbance attenuation level γ. A switching law is constructed via the single Lyapunov function technique. Variable structure controllers of subsystems are designed so as the resulting closed-loop system guarantees the robust H ∞ performance. An illustrative example and simulation results are given to demonstrate the effectiveness of the proposed design method.

关键词： Switches Switched systems Robustness Linear systems Attenuation Uncertain systems

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Compressive System Identification of LTI and LTV ARX Models

Compressive System Identification of LTI and LTV ARX Models

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IEEE Conference on Decision and control

作者： Borhan M. Sanandaji Tyrone L. Vincent Michael B. Wakin Roland Toth Kameshwar Poolla Department of Electrical Engineering and Computer Science Colorado School of Mines Golden CO 80401 USA Delft Center for Systems and Control Delft University of Technology Mekelweg 2 2628 CD Delft The Netherlands Departments of Electrical Engineering and Computer Sciences and Mechanical Engineering University of California Berkeley CA 94720 USA

ISBN: (纸本)9781612848006

In this paper, we consider identifying Auto Regressive with eXternal input (ARX) models for both Linear Time-Invariant (LTI) and Linear Time-Variant (LTV) systems. We aim at doing the identification from the smallest possible number of observations. This is inspired by the field of Compressive Sensing (CS), and for this reason, we call this problem Compressive System Identification (CSI). In the case of LTI ARX systems, a system with a large number of inputs and unknown input delays on each channel can require a model structure with a large number of parameters, unless input delay estimation is performed. Since the complexity of input delay estimation increases exponentially in the number of inputs, this can be difficult for high dimensional systems. We show that in cases where the LTI system has possibly many inputs with different unknown delays, simultaneous ARX identification and input delay estimation is possible from few observations, even though this leaves an apparently ill-conditioned identification problem. We discuss identification guarantees and support our proposed method with simulations. We also consider identifying LTV ARX models. In particular, we consider systems with parameters that change only at a few time instants in a piecewise-constant manner where neither the change moments nor the number of changes is known a priori. The main technical novelty of our approach is in casting the identification problem as recovery of a block-sparse signal from an underdetermined set of linear equations. We suggest a random sampling approach for LTV identification, address the issue of identifiability and again support our approach with illustrative simulations.

关键词： LTI System identification delay estimation Mathematic Identifiability Model structures

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