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  • Journal article
    Andrieu V, Praly L, Astolfi A, 2009,

    , SYSTEMS & CONTROL LETTERS, Vol: 58, Pages: 652-663, ISSN: 0167-6911
    • Cite
    • Citations: 20
  • Journal article
    Blanchini F, Parisini T, Pellegrino FA, Pin Get al., 2009,

    , IEEE TRANSACTIONS ON AUTOMATIC CONTROL, Vol: 54, Pages: 2164-2169, ISSN: 0018-9286
    • Cite
    • Citations: 14
  • Conference paper
    Thommyppillai M, Evangelou S, Sharp RS, 2009,

    Towards a Practical Virtual Racing-Car Driver

    , European Control Conference 2009
  • Journal article
    Hui SYR, Qin YX, 2009,

    , IEEE Transactions on Power Electronics, Vol: 24, Pages: 1967-1976
  • Journal article
    Yan W, Hui SYR, Chung HS-H, 2009,

    , IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, Vol: 56, Pages: 3069-3078, ISSN: 0278-0046
    • Cite
    • Citations: 44
  • Journal article
    Casagrande D, Astolfi A, Parisini T, 2009,

    , IEEE TRANSACTIONS ON AUTOMATIC CONTROL, Vol: 54, Pages: 1881-1886, ISSN: 0018-9286
    • Cite
    • Citations: 20
  • Journal article
    Jabr RA, Pal BC, 2009,

    , IET GENERATION TRANSMISSION & DISTRIBUTION, Vol: 3, Pages: 713-723, ISSN: 1751-8687
    • Cite
    • Citations: 122
  • Journal article
    Singh R, Pal BC, Jabr RA, 2009,

    , IET Generation, Transmission & Distribution, Vol: 3, Pages: 666-678, ISSN: 1751-8687

    In this study, a statistical framework is introduced to assess the suitability of various state estimation (SE) methodologies for the purpose of distribution system state estimation (DSSE). The existing algorithms adopted in the transmission system SE are reconfigured for the distribution system. The performance of three SE algorithms has been examined and discussed in standard 12-bus and 95-bus UK-GDS network models.
  • Conference paper
    Castanos F, Ortega R, van der Schaft A, Astolfi Aet al., 2009,

    , 13th Congress on Latinoamerican of Automatic Control, Publisher: PERGAMON-ELSEVIER SCIENCE LTD, Pages: 1611-1618, ISSN: 0005-1098
    • Cite
    • Citations: 25
  • Conference paper
    Moreno R, Vasilakos C, Pudjianto D, Strbac Get al., 2009,

    Impact of Wind Generation Uncertainty on Transmission Expansion Models

    , Integration of Wide-Scale Renewable Resources Into the Power Delivery System, CIGRE/IEEE PES Joint Symposium
  • Journal article
    Falugi P, Giarre L, 2009,

    , SYSTEMS & CONTROL LETTERS, Vol: 58, Pages: 529-539, ISSN: 0167-6911
  • Journal article
    Pin G, Raimondo DM, Magni L, Parisini Tet al., 2009,

    , IEEE TRANSACTIONS ON AUTOMATIC CONTROL, Vol: 54, Pages: 1681-1687, ISSN: 0018-9286
    • Cite
    • Citations: 100
  • Conference paper
    Chang H, Astolfi A, 2009,

    , 17th IFAC World Congress, Publisher: PERGAMON-ELSEVIER SCIENCE LTD, Pages: 1765-1770, ISSN: 0005-1098
    • Cite
    • Citations: 14
  • Conference paper
    Chaudhuri NR, Ray S, Majumder R, Chaudhuri Bet al., 2009,

    A case study on challenges for robust wide-area phasor POD

    , IEEE Power and Energy Society General Meeting
  • Journal article
    Jabr RA, Pal BC, 2009,

    , INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, Vol: 31, Pages: 243-248, ISSN: 0142-0615
    • Cite
    • Citations: 10
  • Conference paper
    Bansal A, Howey DA, Holmes AS, 2009,

    , TRANSDUCERS 2009, International Solid-State Sensors, Actuators and Microsystems Conference, Publisher: IEEE, Pages: 529-532
  • Conference paper
    Arif J, Chaudhuri NR, Ray S, Chaudhuri Bet al., 2009,

    , International Joint Conference on Neural Networks, Publisher: IEEE, Pages: 199-206, ISSN: 1098-7576

    Levenberg-Marquardt (LM) algorithm, a powerfuloff-line batch training method for neural networks, is adaptedhere for online estimation of power system dynamic behavior.A special form of neural network compatible with the feedbacklinearization framework is used to enable non-linear self-tuningcontrol. Use of LM is shown to yield better closed-loop performancecompared to conventional recursive least square (RLS) approach.For successive disturbance use of LM in conjunction withnon-linear neural network structure yields faster convergencecompared to RLS. A case study on a test system demonstratesthe effectiveness of the online LM method for both linear andnonlinear estimation over RLS estimation (linear).
  • Journal article
    Liang J, Green TC, Feng C, Weiss Get al., 2009,

    , IEEE TRANSACTIONS ON POWER ELECTRONICS, Vol: 24, Pages: 1562-1569, ISSN: 0885-8993
    • Cite
    • Citations: 72
  • Journal article
    Ortega R, Astolfi A, 2009,

    , IEEE CONTROL SYSTEMS MAGAZINE, Vol: 29, Pages: 16-16, ISSN: 1066-033X
  • Journal article
    Yates DC, Holmes AS, 2009,

    , IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, Vol: 56, Pages: 1173-1181, ISSN: 1549-8328
  • Journal article
    Angeli D, 2009,

    , IEEE TRANSACTIONS ON AUTOMATIC CONTROL, Vol: 54, Pages: 1386-1391, ISSN: 0018-9286
    • Cite
    • Citations: 38
  • Journal article
    Singh R, Pal BC, Vinter RB, 2009,

    , IEEE Transactions on Power Systems, Vol: 24, Pages: 668-675, ISSN: 0885-8950

    This paper introduces a technique for meter placement for the purpose of improving the quality of voltage and angle estimates across a network. The proposed technique is based on the sequential improvement of a bivariate probability index governing relative errors in voltage and angle at each bus. The meter placement problem is simplified by transforming it into a probability bound reduction problem, with the help of the two sided-Chebyshev inequality. A straightforward solution technique is proposed for the latter problem, based on the consideration of 2-$sigma$ error ellipses. The benefits of the proposed technique are revealed by Monte Carlo simulations on a 95-bus UKGDS network model
  • Journal article
    Chaudhuri B, Ray S, Majumder R, 2009,

    , IET GENERATION TRANSMISSION & DISTRIBUTION, Vol: 3, Pages: 448-459, ISSN: 1751-8687
    • Cite
    • Citations: 21
  • Journal article
    Karagiannis D, Astolfi A, Ortega R, Hilairet Met al., 2009,

    , IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, Vol: 17, Pages: 608-619, ISSN: 1063-6536
    • Cite
    • Citations: 29
  • Journal article
    Laila DS, Messina AR, Pal BC, 2009,

    , IEEE Transactions on Power Systems, Vol: 24, Pages: 610-620, ISSN: 0885-8950

    This paper focuses on the refinement of standard Hilbert–Huang transform (HHT) technique to accurately characterize time varying, multicomponents interarea oscillations. Several improved masking techniques for empirical mode decomposition (EMD) and a local Hilbert transformer are proposed and a number of issues regarding their use and interpretation are identified. Simulated response data from a complex power system model are used to assess the efficacy of the proposed techniques for capturing the temporal evolution of critical system modes. It is shown that the combination of the proposed methods result in superior frequency and temporal resolution than other approaches for analyzing complicated nonstationary oscillations.
  • Journal article
    Angeli D, 2009,

    , IEEE TRANSACTIONS ON NEURAL NETWORKS, Vol: 20, Pages: 794-804, ISSN: 1045-9227
  • Journal article
    Goulart PJ, Kerrigan EC, Alamo T, 2009,

    Control of Constrained Discrete-Time Systems With Bounded â„“2 Gain

    , IEEE Transactions on Automatic Control
  • Journal article
    Angeli D, De Leenheer P, Sontag ED, 2009,

    , BIOTECHNOLOGY PROGRESS, Vol: 25, Pages: 632-642, ISSN: 8756-7938
    • Cite
    • Citations: 42
  • Journal article
    Angeli D, Hirsch MW, Sontag ED, 2009,

    , JOURNAL OF DIFFERENTIAL EQUATIONS, Vol: 246, Pages: 3058-3076, ISSN: 0022-0396
    • Cite
    • Citations: 17
  • Journal article
    Chang H, Astolfi A, 2009,

    , IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, Vol: 6, Pages: 248-255, ISSN: 1545-5955
    • Cite
    • Citations: 19

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