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  • Journal article
    Kunjumuhammed LP, Pal BC, Oates C, Dyke KJet al., 2016,

    Electrical Oscillations in Wind Farm Systems: Analysis and Insight Based on Detailed Modeling

    , IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, Vol: 7, Pages: 51-62, ISSN: 1949-3029
  • Journal article
    Lee ATL, Chen H, Tan SC, Hui SYet al., 2016,

    Precise Dimming and Color Control of LED Systems Based on Color Mixing

    , IEEE Transactions on Power Electronics, Vol: 31, Pages: 65-80, ISSN: 1941-0107

    This paper proposes a closed-loop nonlinear scheme for precisely controlling the luminosity and correlated color temperature (CCT) of a bicolor adjustable light-emitting diode (LED) lamp. The main objective is to achieve a precise and fully independent dimming and CCT control of the light mixture emitted from a two-string LED lamp comprising warm-white and cool-white color LEDs, regardless of the operating conditions and throughout the long operating lifetime of the LED lamp. The proposed control method is formulated using the nonlinear empirical LED model of the bicolor white LED system. Experimental results show that with the proposed closed-loop nonlinear approach, both CCT and dimming control of the bicolor lamp is significantly more accurate and robust to ambient temperature variations, ambient light interference, and LED aging than the conventional linear approach used in existing products. The maximum error in luminous flux employing the proposed closed-loop nonlinear approach is 3%, compared with 20% using the closed-loop linear approach. The maximum deviation in CCT is only 1.78%, compared with 27.5% with its linear counterpart.
  • Conference paper
    Teng F, Strbac G, 2016,

    Commercial strategy for operating energy storage in supporting integration of renewable generation

    , 8th IEEE International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia), Publisher: IEEE, Pages: 519-523
  • Conference paper
    Bloemink JM, Green TC, 2016,

    Required VSC Efficiency for Zero Net-Loss Distribution Network Active Compensation

    , 7th IEEE International Symposium On Power Electronics for Distributed Generation Systems (PEDG), Publisher: IEEE, ISSN: 2329-5759
  • Conference paper
    Li P, Fedele G, Pin G, Parisini Tet al., 2016,

    Kernel-based Deadbeat Parametric Estimation of Bias-affected Damped Sinusoidal Signals

    , European Control Conference (ECC), Publisher: IEEE, Pages: 519-524
  • Conference paper
    Ascencio P, Astolfi A, Parisini T, 2016,

    An Adaptive Observer for a class of Parabolic PDEs based on a Convex Optimization Approach for Backstepping PDE Design

    , American Control Conference (ACC), Publisher: IEEE, Pages: 3429-3434, ISSN: 0743-1619
  • Conference paper
    Sassano M, Astolfi A, 2016,

    Approximate Dynamic Tracking and Feedback Linearization

    , 55th IEEE Conference on Decision and Control (CDC), Publisher: IEEE, Pages: 5688-5693, ISSN: 0743-1546
  • Conference paper
    Yates DC, Aldhaher S, Mitcheson PD, 2016,

    Design of 3 MHz DC/AC Inverter with Resonant Gate Drive for a 3.3 kW EV WPT System

    , 2nd IEEE Annual Southern Power Electronics Conference (SPEC), Publisher: IEEE
  • Conference paper
    Sanz IM, Chaudhuri B, Strbac G, 2016,

    Inertial Response From Offshore Wind Farms Connected Through DC Grids

    , IEEE-Power-and-Energy-Society General Meeting (PESGM), Publisher: IEEE, ISSN: 1944-9925
  • Conference paper
    Prieto-Araujo E, Junyent-Ferre A, Lavernia-Ferrer D, Gomis-Bellmunt Oet al., 2016,

    Decentralized Control of a Nine-Phase Permanent Magnet Generator for Offshore Wind Turbines

    , IEEE-Power-and-Energy-Society General Meeting (PESGM), Publisher: IEEE, ISSN: 1944-9925
  • Conference paper
    Ye Y, Papadaskalopoulos D, Strbac G, 2016,

    Factoring Flexible Demand Non-Convexities in Electricity Markets

    , IEEE-Power-and-Energy-Society General Meeting (PESGM), Publisher: IEEE, ISSN: 1944-9925
  • Conference paper
    Papadaskalopoulos D, Strbac G, 2016,

    Nonlinear and Randomized Pricing for Distributed Management of Flexible Loads

    , IEEE-Power-and-Energy-Society General Meeting (PESGM), Publisher: IEEE, ISSN: 1944-9925
  • Conference paper
    Teng F, Trovato V, Strbac G, 2016,

    Stochastic Scheduling with Inertia-dependent Fast Frequency Response Requirements

    , IEEE-Power-and-Energy-Society General Meeting (PESGM), Publisher: IEEE, ISSN: 1944-9925
  • Conference paper
    Chen Y, Teng F, Moreno R, Strbac Get al., 2016,

    Impact of Dynamic Line Rating with Forecast Error on the Scheduling of Reserve Service

    , IEEE-Power-and-Energy-Society General Meeting (PESGM), Publisher: IEEE, ISSN: 1944-9925
  • Conference paper
    Huang Y, Xiong S, Tan S-C, Hui S-YRet al., 2016,

    Compact Modular Switched-Capacitor DC/DC Converters with Exponential Voltage Gain

    , 31st Annual IEEE Applied Power Electronics Specialists Conference and Exposition (APEC), Publisher: IEEE, Pages: 1894-1899, ISSN: 1048-2334
  • Conference paper
    Ho GKY, Pong BMH, Hui RSY, 2016,

    LLC Resonant Converter Design for Bendable Power Converter

    , 31st Annual IEEE Applied Power Electronics Specialists Conference and Exposition (APEC), Publisher: IEEE, Pages: 2328-2333, ISSN: 1048-2334
  • Conference paper
    Xiong S, Huang Y, Tan S-C, Hui S-YRet al., 2016,

    Morphing Switched-Capacitor Step-Down DC-DC Converters with Variable Conversion Ratio

    , 31st Annual IEEE Applied Power Electronics Specialists Conference and Exposition (APEC), Publisher: IEEE, Pages: 1888-1893, ISSN: 1048-2334
  • Conference paper
    Karimi H, Papadaskalopoulos D, Strbac G, 2016,

    Integrating Customers' Differentiated Supply Valuation in Distribution Network Planning and Charging

    , 13th International Conference on the European Energy Market (EEM), Publisher: IEEE, ISSN: 2165-4077
  • Conference paper
    Fan Y, Papadaskalopoulos D, Strbac G, 2016,

    A Game Theoretic Modeling Framework for Decentralized Transmission Planning

    , 19th Power Systems Computation Conference (PSCC), Publisher: IEEE
  • Conference paper
    Zhang C, Tang N, Zhong W, Lee CK, Hui RSYet al., 2016,

    A New Energy Harvesting and Wireless Power Transfer System for Smart Grid

    , 7th IEEE International Symposium On Power Electronics for Distributed Generation Systems (PEDG), Publisher: IEEE, ISSN: 2329-5759
  • Conference paper
    Lee CK, Liu H, Zhang G, Yan S, Waffenschmidt E, Hui RSYet al., 2016,

    A Unified Converter Topology for Electric Spring

    , 7th IEEE International Symposium On Power Electronics for Distributed Generation Systems (PEDG), Publisher: IEEE, ISSN: 2329-5759
  • Conference paper
    Liu H, Lee CK, Hui RSY, Waffenschmidt Eet al., 2016,

    Capability Analysis and Design Considerations of Electric Springs

    , 7th IEEE International Symposium On Power Electronics for Distributed Generation Systems (PEDG), Publisher: IEEE, ISSN: 2329-5759
  • Conference paper
    Chen B, Parisini T, Polycarpou MM, 2016,

    A Deadbeat Estimator-Based Fault Isolation Scheme for Nonlinear Systems

    , European Control Conference (ECC), Publisher: IEEE, Pages: 734-739
  • Journal article
    Cao W, Wu J, Jenkins N, Wang C, Green Tet al., 2015,

    Benefits analysis of Soft Open Points for electrical distribution network operation

    , Applied Energy, Vol: 165, Pages: 36-47, ISSN: 1872-9118

    Soft Open Points (SOPs) are power electronic devices installed in place of normally-open points in electrical power distribution networks. They are able to provide active power flow control, reactive power compensation and voltage regulation under normal network operating conditions, as well as fast fault isolation and supply restoration under abnormal conditions. A steady state analysis framework was developed to quantify the operational benefits of a distribution network with SOPs under normal network operating conditions. A generic power injection model was developed and used to determine the optimal SOP operation using an improved Powell’s Direct Set method. Physical limits and power losses of the SOP device (based on back to back voltage-source converters) were considered in the model. Distribution network reconfiguration algorithms, with and without SOPs, were developed and used to identify the benefits of using SOPs. Test results on a 33-bus distribution network compared the benefits of using SOPs, traditional network reconfiguration and the combination of both. The results showed that using only one SOP achieved a similar improvement in network operation compared to the case of using network reconfiguration with all branches equipped with remotely controlled switches. A combination of SOP control and network reconfiguration provided the optimal network operation.
  • Journal article
    Suardi A, Longo S, Kerrigan EC, Constantinides GAet al., 2015,

    Explicit MPC: hard constraint satisfaction under low precision arithmetic

    , Control Engineering Practice, Vol: 47, Pages: 60-69, ISSN: 1873-6939

    MPC is becoming increasingly implemented on embedded systems, where low precision computation is preferred either to reduce costs, speedup execution or reduce power consumption. However, in a low precision implementation, constraint satisfaction cannot be guaranteed. To enforce constraint satisfaction under numerical errors, we adopt tools from forward error analysis to compute an error bound on the output of the embedded controller. We treat this error as a state disturbance and use it to inform the design of a constraint-tightening robust controller. The technique is validated via a practical implementation on an FPGA evaluation board.
  • Journal article
    Ramirez PJ, Papadaskalopoulos D, Strbac G, 2015,

    Co-Optimization of Generation Expansion Planning and Electric Vehicles Flexibility

    , IEEE Transactions on Smart Grid, Vol: 7, Pages: 1609-1619, ISSN: 1949-3061

    The envisaged de-carbonization of power systems poses unprecedented challenges enhancing the potential of flexible demand. However, the incorporation of the latter in system planning has yet to be comprehensively investigated. This paper proposes a novel planning model that allows co-optimizing the investment and operating costs of conventional generation assets and demand flexibility, in the form of smart-charging/discharging electric vehicles (EV). The model includes a detailed representation of EV operational constraints along with the generation technical characteristics, and accounts for the costs required to enable demand flexibility. Computational tractability is achieved through clustering generation units and EV, which allows massively reducing the number of decision variables and constraints, and avoiding non-linearities. Case studies in the context of the U.K. demonstrate the economic value of EV flexibility in reducing peak demand levels and absorbing wind generation variability, and the dependence of this value on the required enabling cost and users' traveling patterns.
  • Journal article
    Cao W, Wu J, Jenkins N, Wang C, Green Tet al., 2015,

    Operating principle of Soft Open Points for electrical distribution network operation

    , Applied Energy, Vol: 164, Pages: 245-257, ISSN: 1872-9118

    Soft Open Points (SOPs) are power electronic devices installed in place of normally-open points in electrical power distribution networks. They are able to provide active power flow control, reactive power compensation and voltage regulation under normal network operating conditions, as well as fast fault isolation and supply restoration under abnormal conditions. Two control modes were developed for the operation of an SOP, using back-to-back voltage-source converters (VSCs). A power flow control mode with current control provides independent control of real and reactive power. A supply restoration mode with a voltage controller enables power supply to isolated loads due to network faults. The operating principle of the back-to-back VSCs based SOP was investigated under both normal and abnormal network operating conditions. Studies on a two-feeder medium-voltage distribution network showed the performance of the SOP under different network-operating conditions: normal, during a fault and post-fault supply restoration. During the change of network operating conditions, a mode switch method based on the phase locked loop controller was used to achieve the transitions between the two control modes. Hard transitions by a direct mode switching were noticed unfavourable, but seamless transitions were obtained by deploying a soft cold load pickup and voltage synchronization process.
  • Conference paper
    Kerrigan EC, Constantinides GA, Suardi A, Picciau A, Khusainov Bet al., 2015,

    Computer Architectures to Close the Loop in Real-time Optimization

    , 54th IEEE Conference on Decision and Control, Publisher: IEEE, Pages: 4597-4611

    Many modern control, automation, signal processing and machine learning applications rely on solving a sequence of optimization problems, which are updated with measurements of a real system that evolves in time. The solutions of each of these optimization problems are then used to make decisions, which may be followed by changing some parameters of the physical system, thereby resulting in a feedback loop between the computing and the physical system. Real-time optimization is not the same as `fast' optimization, due to the fact that the computation is affected by an uncertain system that evolves in time. The suitability of a design should therefore not be judged from the optimality of a single optimization problem, but based on the evolution of the entire cyber-physical system. The algorithms and hardware used for solving a single optimization problem in the office might therefore be far from ideal when solving a sequence of real-time optimization problems. Instead of there being a single, optimal design, one has to trade-off a number of objectives, including performance, robustness, energy usage, size and cost. We therefore provide here a tutorial introduction to some of the questions and implementation issues that arise in real-time optimization applications. We will concentrate on some of the decisions that have to be made when designing the computing architecture and algorithm and argue that the choice of one informs the other.
  • Conference paper
    Liu C, Jaimoukha I, 2015,

    The Computation of Full-complexity Polytopic Robust Control Invariant Sets

    , 54th Conference on Decision and Control, Publisher: IEEE, Pages: 6233-6238

    This paper considers the problem of evaluating robust control invariant (RCI) sets for linear discrete-time systems subject to state and input constraints as well as additive disturbances. An RCI set has the property that if the system state is inside the set at any one time, then it is guaranteed to remain in the set for all future times using a pre-defined state feedback control law. This problem is important in many control applications. We present a numerically efficient algorithm for the computation of full-complexity polytopic RCI sets. Farkas' Theorem is first used to derive necessary and sufficient conditions for the existence of an admissible polytopic RCI set in the form of nonlinear matrix inequalities. An Elimination Lemma is then used to derive sufficient conditions, in the form of linear matrix inequalities, for the existence of the solution. An optimization algorithm to approximate maximal RCI sets is also proposed. Numerical examples are given to illustrate the effectiveness of the proposed algorithm.
  • Conference paper
    Padoan A, Astolfi A, 2015,

    Towards deterministic subspace identification for autonomous nonlinear systems

    , 54th IEEE Conference on Decision and Control, Publisher: IEEE, Pages: 127-132

    The problem of identifying deterministic autonomous linear and nonlinear systems is studied. A specific version of the theory of deterministic subspace identification for discrete-time autonomous linear systems is developed in continuous time. By combining the subspace approach to linear identification and the differential-geometric approach to nonlinear control systems, a novel identification framework for continuous-time autonomous nonlinear systems is developed.

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