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  • Conference paper
    Teng F, Strbac G, 2015,

    Evaluation of Synthetic Inertia Provision from Wind Plants

    , General Meeting of the IEEE-Power-and-Energy-Society, Publisher: IEEE, ISSN: 1944-9925
  • Conference paper
    Singh AK, Singh R, Pal BC, 2015,

    Stability Analysis of Networked Control in Smart Grids

    , General Meeting of the IEEE-Power-and-Energy-Society, Publisher: IEEE, ISSN: 1944-9925
  • Journal article
    Zhang X, Green TC, Junyent-Ferre A, 2015,

    A New Resonant Modular Multilevel Step-Down DC-DC Converter with Inherent-Balancing

    , IEEE TRANSACTIONS ON POWER ELECTRONICS, Vol: 30, Pages: 78-88, ISSN: 0885-8993
  • Journal article
    Moreno R, Moreira R, Strbac G, 2015,

    A MILP model for optimising multi-service portfolios of distributed energy storage

    , Applied Energy, Vol: 137, Pages: 554-566, ISSN: 0306-2619

    Energy storage has the potential to provide multiple services to several sectors in electricity industry and thus support activities related to generation, network and system operation. Hence aggregating the value delivered by storage to these sectors is paramount for promoting its efficient deployment in the near future, which will provide the level of flexibility needed to deal with the envisaged high renewables share and the increase in peak demand driven by transport and heating electrification. In this context, we develop a Mixed Integer Linear Programming (MILP) model to schedule operation of distributed storage by coordinating provision of a range of system services which are rewarded at different market prices. The model maximises distributed storage’s net profit while providing distribution network congestion management, energy price arbitrage and various reserve and frequency regulation services through both active and reactive power control. We demonstrate benefits associated with the coordination of these services and its impacts on commercial strategies to determine optimal multi-service portfolios in the long term. We also demonstrate the value of reactive power control to support not only distribution network congestion management, but also efficient trading of energy and balancing services which are usually treated through active power-only control. In addition, we use the model to price the service of distribution network congestion management and propose an efficient investment policy to upgrade distribution network capacity in the presence of distributed storage. Finally, several case studies under current market conditions in Great Britain (GB) demonstrate that distributed storage revenues associated with frequency control services are significantly more profitable.
  • Journal article
    Tsoutsos T, Tournaki S, Weiss I, Caneva S, Arancon S, Masson G, Latour M, Auer H, Lettner G, Sinke W, Olson C, Veltkamp AC, Pause F, De Mango F, Bastone L, Raganella M, Chiesa CD, Strbac G, Pudjianto D, Montoya C, Vazquez R, Guilmard Set al., 2015,

    Photovoltaics competitiveness in Middle East and North Africa countries the European project PV PARITY

    , INTERNATIONAL JOURNAL OF SUSTAINABLE ENERGY, Vol: 34, Pages: 202-210, ISSN: 1478-6451
  • Journal article
    Luo X, Akhtar Z, Lee CK, Chaudhuri B, Tan S-C, Hui SYRet al., 2015,

    Distributed voltage control with electric springs: comparison with STATCOM

    , IEEE Transactions on Smart Grid, Vol: 6, Pages: 209-219, ISSN: 1949-3053

    The concept of electric spring (ES) has been proposed recently as an effective means of distributed voltage control. The idea is to regulate the voltage across the critical (C) loads while allowing the noncritical (NC) impedance-type loads (e.g., water heaters) to vary their power consumption and thus contribute to demand-side response. In this paper, a comparison is made between distributed voltage control using ES against the traditional single point control with STATic COMpensator (STATCOM). For a given range of supply voltage variation, the total reactive capacity required for each option to produce the desired voltage regulation at the point of connection is compared. A simple case study with a single ES and STATCOM is presented first to show that the ES and STATCOM require comparable reactive power to achieve similar voltage regulation. Comparison between a STATCOM and ES is further substantiated through similar case studies on the IEEE 13-bus test feeder system and also on a part of the distribution network in Sha Lo Wan Bay, Hong Kong. In both cases, it turns out that a group of ESs achieves better total voltage regulation than STATCOM with less overall reactive power capacity. Dependence of the ES capability on proportion of critical and NC load is also shown.
  • Journal article
    Lin D, Chua L, Hui S-Y, 2015,

    THE FIRST MAN-MADE MEMRISTOR: CIRCA 1801

    , PROCEEDINGS OF THE IEEE, Vol: 103, Pages: 131-136, ISSN: 0018-9219
  • Conference paper
    Zhao Z, Yang P, Guerrero JM, Xu Z, Green TC, Lei J, Guo X, Li Pet al., 2015,

    Dynamic Stability Analysis of Autonomous Medium-Voltage Mixed-Source Microgrid

    , 41st Annual Conference of the IEEE-Industrial-Electronics-Society (IECON), Publisher: IEEE, Pages: 1801-1806, ISSN: 1553-572X
  • Conference paper
    Zhao Z, Yang P, Xu Z, Green TC, Bottrell Net al., 2015,

    Control Strategy of Energy Storage System for Frequency Support of Autonomous Microgrid

    , 18th International Conference on Electrical Machines and Systems (ICEMS), Publisher: IEEE, Pages: 422-426
  • Conference paper
    Zhao Z, Yang P, Green TC, Ma Y, Xu Z, Lei J, Guo X, Li Pet al., 2015,

    Steady-State Voltage Stability Analysis and Improvement Strategies of Microgrid With Double Fed Induction Wind Generator

    , 18th International Conference on Electrical Machines and Systems (ICEMS), Publisher: IEEE, Pages: 1063-1068
  • Conference paper
    Angeli D, Casavola A, Tedesco F, 2015,

    Theoretical advances on Economic Model Predictive Control with time-varying costs

    , 5th IFAC Conference on Nonlinear-Model-Predictive-Control (NMPC), Publisher: ELSEVIER, Pages: 272-277, ISSN: 2405-8963
  • Conference paper
    Angeli D, Casavola A, Tedesco F, 2015,

    Economic Model Predictive Control with Parameter-Varying Cost and Guaranteed Average Performance

    , 54th IEEE Conference on Decision and Control (CDC), Publisher: IEEE, Pages: 4314-4319, ISSN: 0743-1546
  • Conference paper
    Forni P, Angeli D, 2015,

    Input-to-State Stability for cascade systems with decomposable invariant sets

    , 54th IEEE Conference on Decision and Control (CDC), Publisher: IEEE, Pages: 3742-3747, ISSN: 0743-1546
  • Conference paper
    Forni P, Angeli D, 2015,

    Integral ISS for systems with multiple invariant sets

    , 54th IEEE Conference on Decision and Control (CDC), Publisher: IEEE, Pages: 3736-3741, ISSN: 0743-1546
  • Conference paper
    Manfredi S, Angeli D, 2015,

    Consensus of time-varying nonlinear non-autonomous networks with application to field sampling by mobile robots

    , 54th IEEE Conference on Decision and Control (CDC), Publisher: IEEE, Pages: 4848-4853, ISSN: 0743-1546
  • Journal article
    Pannocchia G, Rawlings JB, Mayne DQ, Mancuso GMet al., 2015,

    Whither Discrete Time Model Predictive Control?

    , IEEE TRANSACTIONS ON AUTOMATIC CONTROL, Vol: 60, Pages: 246-252, ISSN: 0018-9286
  • Journal article
    Clerckx B, Bayguzina E, Yates D, Mitcheson PDet al., 2015,

    Waveform Optimization for Wireless Power Transfer with Nonlinear Energy Harvester Modeling

    , 2015 12TH INTERNATIONAL SYMPOSIUM ON WIRELESS COMMUNICATION SYSTEMS (ISWCS)
  • Conference paper
    Kiziroglou ME, Elefsiniotis A, Kokorakis N, Wright SW, Toh TT, Mitcheson PD, Schmid U, Becker T, Yeatman EMet al., 2015,

    Scaling of dynamic thermoelectric harvesting devices in the 1-100 cm(3) range

    , Conference on Smart Sensors, Actuators, and MEMS VII 1st SPIE Conference on Cyber-Physical Systems, Publisher: SPIE-INT SOC OPTICAL ENGINEERING, ISSN: 0277-786X
  • Conference paper
    Clerckx B, Bayguzina E, Yates DC, Mitcheson PDet al., 2015,

    Waveform optimization for Wireless Power Transfer with nonlinear energy harvester modeling.

    , Publisher: IEEE, Pages: 276-280
  • Report
    Tindemans S, Djapic P, Schofield J, Ustinova T, Strbac Get al., 2014,

    Resilience performance of smart distribution networks

    , Report D4 for the “Low Carbon London” LCNF project
  • Journal article
    Lourenço EM, Coelho EPR, Pal BC, 2014,

    Topology Error and Bad Data Processingin Generalized State Estimation

    , IEEE Transactions on Power Systems, Vol: 30, Pages: 3190-3200, ISSN: 1558-0679

    This paper presents a method for processing real-timedata error in generalized state estimation (GSE). Attention is focusedon the two main types of error: network topology errorsand bad data on analog measurements. The proposed approach isable to handle both errors without making any previous assumptionregarding the nature of those errors. The degrading effectsof topology errors over bad data processing when both topologyand measurement errors occur at the same time are evaluated andnew strategy is proposed to overcome it. GSE is treated as a constrainedoptimization problem where measurements and circuitbreakerstatus are modeled as equality constraints.Geometric testsbased on the geometric interpretation of the Lagrange multipliervector are then utilized to determine the source of the error. Theproposed strategy is tested on two model power networks representedat the bus-section level which is derived from the IEEE30-bus and 118-bus systems.
  • Journal article
    Chen B, Pin G, Ng WM, Lee CK, Hui SYR, Parisini Tet al., 2014,

    An adaptive observer-based switched methodology for the identification of a perturbed sinusoidal signal: theory and experiments

    , IEEE Transactions on Signal Processing, Vol: 62, Pages: 6355-6365, ISSN: 1053-587X

    This paper deals with a novel adaptive observer-based technique for estimating the amplitude, frequency, and phase of a single sinusoidal signal from a measurement affected by structured and unstructured disturbances. The structured disturbances are modeled as a time-polynomial so as to represent bias and drift phenomena typically present in applications, whereas the unstructured disturbances are modelled as bounded noise signals. The proposed estimation technique exploits a specific adaptive observer scheme equipped with a switching criterion allowing to properly address in a stable way poor excitation scenarios. The estimator's stability properties are analyzed by input-to-state stability arguments. The practical characteristics of the proposed estimation approach are evaluated and compared with other existing tools by extensive simulation trials. Real experimental results are provided as well.
  • Journal article
    Shabbir W, Evangelou SA, 2014,

    Real-time control strategy to maximize hybrid electric vehicle powertrain efficiency

    , Applied Energy, Vol: 135, Pages: 512-522, ISSN: 0306-2619

    The proposed supervisory control system (SCS) uses a control map to maximize the powertrain efficiency of a hybrid electric vehicle (HEV) in real-time. The paper presents the methodology and structure of the control, including a novel, comprehensive and unified expression for the overall powertrain efficiency that considers the engine-generator set and the battery in depth as well as the power electronics. A control map is then produced with instructions for the optimal power share between the engine branch and battery branch of the vehicle such that the powertrain efficiency is maximized. This map is computed off-line and can thereafter be operated in real-time at very low computational cost. A charge sustaining factor is also developed and introduced to ensure the SCS operates the vehicle within desired SOC bounds. This SCS is then tested and benchmarked against two conventional control strategies in a high-fidelity vehicle model, representing a series HEV. Extensive simulation results are presented for repeated cycles of a diverse range of standard driving cycles, showing significant improvements in fuel economy (up to 20%) and less aggressive use of the battery.
  • Journal article
    Mayne DQ, 2014,

    Model predictive control: Recent developments and future promise

    , AUTOMATICA, Vol: 50, Pages: 2967-2986, ISSN: 0005-1098
  • Journal article
    Jerez JL, Goulart PJ, Richter S, Constantinides GA, Kerrigan EC, Morari Met al., 2014,

    Embedded Online Optimization for Model Predictive Control at Megahertz Rates

    , IEEE TRANSACTIONS ON AUTOMATIC CONTROL, Vol: 59, Pages: 3238-3251, ISSN: 0018-9286
  • Journal article
    Mueller MA, Angeli D, Allgoewer F, Amrit R, Rawlings JBet al., 2014,

    Convergence in economic model predictive control with average constraints

    , Automatica, Vol: 50, Pages: 3100-3111, ISSN: 0005-1098

    In this paper, we thoroughly investigate various aspects of economic model predictive control with average constraints, i.e., constraints on average values of state and input variables. In particular, we first show that a certain time-varying output constraint has to be included into the MPC problem formulation in order to ensure fulfillment of these average constraints. Optimizing a general (possibly economic) performance criterion may result in a non-converging behavior of the corresponding closed-loop system. While such a behavior might be acceptable in some cases, it may be undesirable for other types of applications. Hence as a second contribution, we provide a Lyapunov-like analysis to conclude that indeed asymptotic convergence to the optimal steady-state follows if the system satisfies a certain dissipativity condition. Finally, for the case that this dissipativity property is not satisfied but still a convergent behavior of the closed-loop is required, we examine two different methods how convergence can be enforced within an economic MPC setup by imposing additional average constraints on the system. In the first method, an additional average constraint is defined which results in the system being dissipative, while the second consists of imposing an additional even zero-moment average constraint. We illustrate our results with various examples.
  • Conference paper
    Scarciotti G, Astolfi A, 2014,

    Model reduction by moment matching for nonlinear time-delay systems

    , Pages: 3642-3647
  • Journal article
    Falugi P, 2014,

    Model predictive control for tracking randomly varying references

    , International Journal of Control, Vol: 88, Pages: 745-753, ISSN: 1366-5820

    This paper proposes a model predictive control scheme for tracking a-priori unknown references varying in a wide range and analyses its performance. It is usual to assume that the reference eventually converges to a constant in which case convergence to zero of the tracking error can be established. In this note we remove this simplifying assumption and characterise the set to which the tracking error converges and the associated region of convergence.
  • Journal article
    Trutnevyte E, Barton J, O'Grady A, Ogunkunle D, Pudjianto D, Robertson Eet al., 2014,

    Linking a storyline with multiple models: A cross-scale study of the UK power system transition

    , TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, Vol: 89, Pages: 26-42, ISSN: 0040-1625
  • Journal article
    Linash PK, Pal BC, 2014,

    Selection of Feedback Signals for ControllingDynamics in Future Power Transmission Networks

    , IEEE Transactions on Smart Grid, Vol: PP, Pages: 1-10, ISSN: 1949-3053

    This paper deals with the selection of feedbacksignal(s) that retain the modal behaviour of power system electromechanicaldynamics under varying operating circumstances.The approach seeks signal that has relatively large magnitude ofresidue, less variation of the magnitude and phase angle, sufficientgap between the critical pole-zeros and least sensitive to othermodes. The methodology is tested in a 16-machine interconnectedpower system model with multiple wind farms.

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