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    Li Y, Junyent-Ferre A, Rodriguez-Bernuz J-M, 2018,

    A Three-Phase Active Rectifier Topology for Bipolar DC Distribution

    , IEEE TRANSACTIONS ON POWER ELECTRONICS, Vol: 33, Pages: 1063-1074, ISSN: 0885-8993
    McKenna R, Djapic P, Weinand J, Fichtner W, Strbac Get al., 2018,

    Assessing the implications of socioeconomic diversity for low carbon technology uptake in electrical distribution networks

    , Applied Energy, Vol: 210, Pages: 856-869, ISSN: 0306-2619

    © 2017 Elsevier Ltd Adequately accounting for interactions between Low Carbon Technologies (LCTs) at the building level and the overarching energy system means capturing the granularity associated with decentralised heat and power supply in residential buildings. This paper combines dwelling/household archetypes (DHAs) combined with a mixed integer linear program to generate optimal (minimum cost) technology configurations and operation schedules for individual dwellings. These DHAs are scaled up to three socioeconomically differentiated neighbourhood clusters at the Output Area level in the UK. A synthetic distribution network generation and simulation assesses the required network upgrade costs for these clusters with different LCT penetration scenarios. Whilst the application here is to the United Kingdom (UK) setting, the method is largely based on freely available data and is therefore highly transferable to other contexts. The results show significant differences between the upgrade costs of the three analysed network types, and especially the semi-rural cluster has much higher costs. The employment of heat pumps together with photovoltaics (PV) has strong synergy effects, which can considerably reduce the network upgrade and carbon abatement costs if deployed in parallel. The determined CO 2 -abatement costs also suggest that decarbonisation measures with these two technologies should focus on semi-urban neighbourhoods due to the lower cost in comparison to the semi-rural case. This shows that such a socioeconomically differentiated approach to distribution network modelling can provide useful energy policy insights.

    Akhtar Z, Chaudhuri B, Hui SYR, 2017,

    Smart Loads for Voltage Control in Distribution Networks

    , IEEE Transactions on Smart Grid, Vol: 8, Pages: 937-946, ISSN: 1949-3053

    © 2010-2012 IEEE. This paper shows that the smart loads (SLs) could be effective in mitigating voltage problems caused by photovoltaic (PV) generation and electric vehicle (EV) charging in low-voltage (LV) distribution networks. Limitations of the previously reported SL configuration with only series reactive compensator (SLQ) (one converter) is highlighted in this paper. To overcome these limitations, an additional shunt converter is used in back-To-back (B2B) configuration to support the active power exchanged by the series converter, which increases the flexibility of the SL without requiring any energy storage. Simulation results on a typical U.K. LV distribution network are presented to compare the effectiveness of an SL with B2B converters (SLBCs) against an SLQ in tackling under-and over-voltage problems caused by EV or PV. It is shown that SLBCs can regulate the main voltage more effectively than SLQs especially under over-voltage condition. Although two converters are required for each SLBC, it is shown that the apparent power capacity of each converter is required to be significantly less than that of an equivalent SLQ.

    Aldhaher S, Mitcheson PD, Arteaga JM, Kkelis G, Yates DCet al., 2017,

    Light-Weight Wireless Power Transfer for Mid-Air Charging of Drones

    , 11th European Conference on Antennas and Propagation (EUCAP), Publisher: IEEE, Pages: 336-340, ISSN: 2164-3342
    Ameli H, Qadrdan M, Strbac G, 2017,

    Value of gas network infrastructure flexibility in supporting cost effective operation of power systems

    , APPLIED ENERGY, Vol: 202, Pages: 571-580, ISSN: 0306-2619
    Anagnostou G, Pal BC, 2017,

    Derivative-free Kalman filtering based Approaches to Dynamic State Estimation for Power Systems with Unknown Inputs

    , IEEE Transactions on Power Systems, Pages: 1-1, ISSN: 0885-8950
    Angeli D, Athanasopoulos N, Jungers RM, Philippe Met al., 2017,

    Path-complete graphs and common Lyapunov functions

    , Pages: 81-90

    © 2017 ACM. A Path-Complete Lyapunov Function is an algebraic criterion composed of a finite number of functions, called pieces, and a directed, labeled graph defining Lyapunov inequalities between these pieces. It provides a stability certificate for discrete-time arbitrary switching systems. In this paper, we prove that the satisfiability of such a criterion implies the existence of a Common Lyapunov Function, expressed as the composition of minima and maxima of the pieces of the Path-Complete Lyapunov function. The converse however is not true even for discrete-time linear systems: we present such a system where a max-of-2 quadratics Lyapunov function exists while no corresponding Path-Complete Lyapunov function with 2 quadratic pieces exists. In light of this, we investigate when it is possible to decide if a Path-Complete Lyapunov function is less conservative than another. By analyzing the combinatorial and algebraic structure of the graph and the pieces respectively, we provide simple tools to decide when the existence of such a Lyapunov function implies that of another.

    Arana C, Evangelou SA, Dini D, 2017,

    Series Active Variable Geometry Suspension application to comfort enhancement

    , CONTROL ENGINEERING PRACTICE, Vol: 59, Pages: 111-126, ISSN: 0967-0661
    Bachtiar V, Manzie C, Kerrigan EC, 2017,

    Nonlinear Model-Predictive Integrated Missile Control and Its Multiobjective Tuning

    , Journal of Guidance, Control, and Dynamics, Vol: 40, Pages: 2961-2970, ISSN: 0731-5090
    Battistelli C, Agalgaonkar YP, Pal BC, 2017,

    Probabilistic Dispatch of Remote Hybrid Microgrids Including Battery Storage and Load Management

    , IEEE TRANSACTIONS ON SMART GRID, Vol: 8, Pages: 1305-1317, ISSN: 1949-3053
    Batzelis EI, 2017,

    Simple PV Performance Equations Theoretically Well Founded on the Single-Diode Model

    , IEEE Journal of Photovoltaics, Vol: 7, Pages: 1400-1409, ISSN: 2156-3381

    © 2017 IEEE. There are several photovoltaic (PV) performance models in the literature, but most of them either employ complex and tedious calculations or require additional measurements apart from datasheet information. In this paper, a new set of performance equations to evaluate the short-circuit current, open-circuit voltage, and maximum power point at any operating conditions is introduced. The proposed expressions are simple functions of the irradiance and temperature, while they are generally applicable to any crystalline PV module and require only datasheet information as input data. This is achieved by introducing new formulas to determine the irradiance and temperature coefficients that are not provided in the datasheet, thus avoiding empirical constants or additional measurements. The novelty of the performance equations is their solid theoretical background, as they are in excellent agreement with the single-diode PV model, combined with simple and easy application. The proposed PV model is validated and compared with other methods found in the literature through simulations in MATLAB and outdoor measurements on commercial PV modules.

    Batzelis EI, Kampitsis GE, Papathanassiou SA, 2017,

    Power Reserves Control for PV Systems With Real-Time MPP Estimation via Curve Fitting

    , IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, Vol: 8, Pages: 1269-1280, ISSN: 1949-3029
    Boem F, Reci R, Cenedese A, Parisini Tet al., 2017,

    Distributed Clustering-based Sensor Fault Diagnosis for HVAC Systems

    , Pages: 4197-4202

    © 2017 The paper presents a distributed Sensor Fault Diagnosis architecture for Industrial Wireless Sensor Networks monitoring HVAC systems, by exploiting a recently proposed distributed clustering method. The approach allows the detection and isolation of multiple sensor faults and considers the possible presence of modeling uncertainties and disturbances. Detectability and isolability conditions are provided. Simulation results show the effectiveness of the proposed method for an HVAC system.

    Cai L, Thornhill NF, Kuenzel S, Pal BCet al., 2017,

    Real-time detection of power system disturbances based on k-nearest neighbor analysis

    , IEEE Access, Vol: 5, Pages: 5631-5639, ISSN: 2169-3536

    Efficient disturbance detection is important for power system security and stability. In this paper, a new detection method is proposed based on a time series analysis technique known as k nearest neighbor (kNN) analysis. Advantages of this method are that it can deal with the electrical measurements with oscillatory trends and can be implemented in real time. The method consists of two stages which are the off-line modelling and the on-line detection. The off-line stage calculates a sequence of anomaly index values using kNN on the historical ambient data and then determines the detection threshold. Afterwards, the on-line stage calculates the anomaly index value of presently measured data by readopting kNN and compares it with the established threshold for detecting disturbances. To meet the real-time requirement, strategies for recursively calculating the distance metrics of kNN and for rapidly picking out the kth smallest metric are built. Case studies conducted on simulation data from the reduced equivalent model of Great Britain power system and measurements from an actual power system in Europe demonstrate the effectiveness of the proposed method.

    Cai L, Thornhill NF, Pal BC, 2017,

    Multivariate detection of power system disturbances based on fourth order moment and singular value decomposition

    , IEEE Transactions on Power Systems, Vol: 32, Pages: 4289-4297, ISSN: 1558-0679

    This paper presents a new method to detect power system disturbances in a multivariate context, which is based on Fourth Order Moment (FOM) and multivariate analysisimplemented as Singular Value Decomposition (SVD). The motivation for this development is that power systems are increasingly affected by various disturbances and there is a requirement for the analysis of measurements to detect these disturbances. The application results on the measurements of an actual power system in Europe illustrate that the proposed multivariate detection method achieves enhanced detection reliability and sensitivity.

    Canizares C, Fernandes T, Geraldi E, Gerin-Lajoie L, Gibbard M, Hiskens I, Kersulis J, Kuiava R, Lima L, DeMarco F, Martins N, Pal BC, Piardi A, Ramos R, dos Santos J, Silva D, Singh AK, Tamimi B, Vowles Det al., 2017,

    Benchmark Models for the Analysis and Control of Small-Signal Oscillatory Dynamics in Power Systems

    , IEEE TRANSACTIONS ON POWER SYSTEMS, Vol: 32, Pages: 715-722, ISSN: 0885-8950
    Cantoni M, Farokhi F, Kerrigan E, Shames Iet al., 2017,

    Structured computation of optimal controls for constrained cascade systems

    , International Journal of Control, Pages: 1-10, ISSN: 0020-7179
    Chaffey G, Green TC, 2017,

    Low speed protection methodology for a symmetrical monopolar HVDC network

    Protecting a future HVDC network from short circuit DC faults is presently expected to require extensive implementation of fast HVDC circuit breakers, allowing for rapid fault isolation. The requirement for circuit breakers may, however, be reduced or removed depending on the protection methodology, resulting in a slower post-fault recovery. The expected fault response and the subsequent network recovery is dependent on the circuit breaker, network, and converter configurations. This paper examines a low speed protection methodology for a symmetrical monopolar HVDC system, a configuration which requires pole to pole balancing following a pole to ground fault. The fault clearance and network recovery timings are therefore evaluated for both pole to pole and pole to ground faults on several case study networks.

    Chakravorty D, Chaudhuri B, Hui S, 2017,

    Estimation of Aggregate Reserve with Point-of-Load Voltage Control

    , IEEE Transactions on Smart Grid, Pages: 1-1, ISSN: 1949-3053
    Chakravorty D, Chaudhuri B, Hui SYR, 2017,

    Rapid Frequency Response From Smart Loads in Great Britain Power System

    , IEEE TRANSACTIONS ON SMART GRID, Vol: 8, Pages: 2160-2169, ISSN: 1949-3053
    Chen B, Pin G, Ng WM, Parisini T, Hui S-YRet al., 2017,

    A Fast-Convergent Modulation Integral Observer for Online Detection of the Fundamental and Harmonics in Grid-Connected Power Electronics Systems

    , IEEE TRANSACTIONS ON POWER ELECTRONICS, Vol: 32, Pages: 2596-2607, ISSN: 0885-8993
    Chen HT, Tan SC, Lee ATL, Lin DY, Hui SYRet al., 2017,

    Precise color control of red-green-blue light-emitting diode systems

    , IEEE Transactions on Power Electronics, Vol: 32, Pages: 3063-3074, ISSN: 0885-8993

    © 1986-2012 IEEE. The complex nature and differences of the luminous and thermal characteristics of red, green, and blue (RGB) light-emitting diodes (LEDs) make precise color control of RGB LED systems a great technological challenge. This paper presents a nonlinear model that includes coupling effects among LED devices for predicting color in RGB LED systems. A control method is included to demonstrate that this model can be used for precise color control. The proposed model and control method have been successfully evaluated in practical tests. The measurements agree well with model predictions. They form a new design tool for precise color control of RGB LED systems.

    De Paola A, Angeli D, Strbac G, 2017,

    Price-Based Schemes for Distributed Coordination of Flexible Demand in the Electricity Market

    , IEEE TRANSACTIONS ON SMART GRID, Vol: 8, Pages: 3104-3116, ISSN: 1949-3053
    Dzafic I, Jabr RA, Huseinagic I, Pal BCet al., 2017,

    Multi-Phase State Estimation Featuring Industrial-Grade Distribution Network Models

    , IEEE TRANSACTIONS ON SMART GRID, Vol: 8, Pages: 609-618, ISSN: 1949-3053
    Evangelou SA, Rehman-Shaikh MA, 2017,

    Hybrid electric vehicle fuel minimization by DC-DC converter dual-phase shift control

    , CONTROL ENGINEERING PRACTICE, Vol: 64, Pages: 44-60, ISSN: 0967-0661
    Fatouros P, Konstantelos I, Papadaskalopoulos D, Strbac Get al., 2017,

    A Stochastic Dual Dynamic Programming Approach for Optimal Operation of DER Aggregators

    , IEEE Manchester PowerTech, Publisher: IEEE
    Fong G, Moreira R, Strbac G, 2017,

    Economic Analysis of Energy Storage Business Models

    , IEEE Manchester PowerTech, Publisher: IEEE
    Franco PD, Scarciotti G, Astolfi A, 2017,

    A note on the stability of nonlinear differential-algebraic systems

    , Pages: 7421-7426

    © 2017 The problem of the stability analysis for nonlinear differential-algebraic systems is addressed using tools from classical control theory Exploiting Lyapunov Direct Method we provide linear matrix inequalities to establish stability properties of this class of systems. In addition, interpreting the differential-algebraic system as the feedback interconnection of a dynamical system and an algebraic system, a sufficient stability condition has been derived using the small-gain theorem. The proposed techniques are illustrated by means of simple examples.

    Ge M, Kerrigan EC, 2017,

    Noise covariance identification for time-varying and nonlinear systems

    , International Journal of Control, Vol: 90, Pages: 1903-1915, ISSN: 0020-7179
    Gu Y, Bottrell, Green, 2017,

    Reduced-Order Models for Representing Converters in Power System Studies

    Matlab codes of reduced-order models for representing power electronic converters in power system analyses.

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