A Composable Method for Real-Time Control of Active Distribution Networks with Explicit Power Setpoints

The conventional approach for the control of distribution networks, in the presence of active generation and/or controllable loads and storage, involves a combination of both frequency and voltage regulation at different time scales. With the increased penetration of stochastic resources, distributed generation and demand response, this approach shows severe limitations in both the optimal and feasible operation of these networks, as well as in the aggregation of the network resources for upper-layer power systems. An alternative approach is to directly control the targeted grid by defining explicit and real-time setpoints for active/reactive power absorptions/injections defined by a solution of a specific optimization problem; but this quickly becomes intractable when systems get large or diverse. In this paper, we address this problem and propose a method for the explicit control of the grid status, based on a common abstract model characterized by the main property of being composable. That is to say, subsystems can be aggregated into virtual devices that hide their internal complexity. Thus the proposed method can easily cope with systems of any size or complexity. The framework is presented in this Part I, whilst in Part II we illustrate its application to a CIGR\'E low voltage benchmark microgrid. In particular, we provide implementation examples with respect to typical devices connected to distribution networks and evaluate of the performance and benefits of the proposed control framework.

[1]  Giuseppe Tommaso Costanzo,et al.  Electric space heating scheduling for real-time explicit power control in active distribution networks , 2014, IEEE PES Innovative Smart Grid Technologies, Europe.

[2]  Nils Hoffmann,et al.  Minimal Invasive Equivalent Grid Impedance Estimation in Inductive–Resistive Power Networks Using Extended Kalman Filter , 2014, IEEE Transactions on Power Electronics.

[3]  Jian Sun,et al.  Online grid impedance identification for adaptive control of grid-connected inverters , 2012, 2012 IEEE Energy Conversion Congress and Exposition (ECCE).

[4]  M. H. Nehrir,et al.  Comprehensive Real-Time Microgrid Power Management and Control With Distributed Agents , 2013, IEEE Transactions on Smart Grid.

[5]  David Linden,et al.  Linden's Handbook of Batteries , 2010 .

[6]  M. Fotuhi-Firuzabad,et al.  Fuzzy Dynamic Thermal Rating of Transmission Lines , 2012, IEEE Transactions on Power Delivery.

[7]  Mario Paolone,et al.  Efficient Computation of Sensitivity Coefficients of Node Voltages and Line Currents in Unbalanced Radial Electrical Distribution Networks , 2012, IEEE Transactions on Smart Grid.

[8]  Jean-Yves Le Boudec,et al.  An Expedited Forwarding PHB (Per-Hop Behavior) , 2002, RFC.

[9]  M.R. Iravani,et al.  Power Management Strategies for a Microgrid With Multiple Distributed Generation Units , 2006, IEEE Transactions on Power Systems.

[10]  Thillainathan Logenthiran,et al.  Multiagent System for Real-Time Operation of a Microgrid in Real-Time Digital Simulator , 2012, IEEE Transactions on Smart Grid.

[11]  Henrik Madsen,et al.  A model predictive control strategy for the space heating of a smart building including cogeneration of a fuel cell-electrolyzer system , 2014 .

[12]  M. Paolone,et al.  A Microcontroller-Based Power Management System for Standalone Microgrids With Hybrid Power Supply , 2012, IEEE Transactions on Sustainable Energy.

[13]  Craig Rieger,et al.  Autonomous systems and intelligent agents in power system control and operation, C. Rehtanz, Springer, Berlin, 2003, 304pp, ISBN 3‐540‐40202‐0 , 2006 .

[14]  Zbigniew Staroszczyk,et al.  A method for real-time, wide-band identification of the source impedance in power systems , 2005, IEEE Transactions on Instrumentation and Measurement.

[15]  Mario Paolone,et al.  A Hardware-in-the-Loop Test Platform for the Real-Time State Estimation of Active Distribution Networks using Phasor Measurement Units , 2013 .

[16]  Nikos D. Hatziargyriou,et al.  Microgrids : architectures and control , 2014 .

[17]  Mario Paolone,et al.  DISPERSED ENERGY RESOURCES SCHEDULING FOR THE INTENTIONAL ISLANDING OPERATION OF DISTRIBUTION SYSTEMS , 2008 .

[18]  Hsiao-Dong Chiang,et al.  On the existence and uniqueness of load flow solution for radial distribution power networks , 1990 .

[19]  Marta Molinas,et al.  Power electronics modeling fidelity: Impact on stability estimate of micro-grid systems , 2011, 2011 IEEE PES Innovative Smart Grid Technologies.

[20]  K. A. Papadogiannis,et al.  Optimal allocation of primary reserve services in energy markets , 2004, IEEE Transactions on Power Systems.

[21]  Yu Zhang,et al.  Robust Energy Management for Microgrids With High-Penetration Renewables , 2012, IEEE Transactions on Sustainable Energy.

[22]  Mario Paolone,et al.  Primary Voltage Control in Active Distribution Networks via Broadcast Signals: The Case of Distributed Storage , 2014, IEEE Transactions on Smart Grid.

[23]  Sanjib Kumar Panda,et al.  Optimization of Distribution Network Incorporating Distributed Generators: An Integrated Approach , 2013, IEEE Transactions on Power Systems.

[24]  Janusz Bialek,et al.  Generation curtailment to manage voltage constraints in distribution networks , 2007 .

[25]  Helmuth Biechl,et al.  Modelling of Li-ion batteries using equivalent circuit diagrams , 2012 .

[26]  James S. Thorp,et al.  Three-phase linear state estimation using Phasor Measurements , 2013, 2013 IEEE Power & Energy Society General Meeting.

[27]  Hadi Saadat,et al.  Power System Analysis , 1998 .

[28]  Mario Paolone,et al.  GECN: Primary Voltage Control for Active Distribution Networks via Real-Time Demand-Response , 2014, IEEE Transactions on Smart Grid.

[29]  H. Chiang,et al.  Existence, uniqueness, and monotonic properties of the feasible power flow solution for radial three-phase distribution networks , 2000 .

[30]  Manfred Morari,et al.  Use of model predictive control and weather forecasts for energy efficient building climate control , 2012 .

[31]  M. Molinas,et al.  Shunt active filtering by constant power load in microgrid based on IRP p-q and CPC reference signal generation schemes , 2012, 2012 IEEE International Conference on Power System Technology (POWERCON).

[32]  Foo Y. S. Eddy,et al.  Multi-agent system for optimization of microgrids , 2011, 8th International Conference on Power Electronics - ECCE Asia.

[33]  David J. C. MacKay Sustainable Energy - Without the Hot Air , 2008 .

[34]  I. J. Schoenberg,et al.  The Relaxation Method for Linear Inequalities , 1954, Canadian Journal of Mathematics.

[35]  M. Pipattanasomporn,et al.  Multi-agent systems in a distributed smart grid: Design and implementation , 2009, 2009 IEEE/PES Power Systems Conference and Exposition.

[36]  Miroslav Popovic,et al.  iPRP: Parallel redundancy protocol for IP networks , 2015, 2015 IEEE World Conference on Factory Communication Systems (WFCS).

[37]  S. M. Zali,et al.  Generic Model of Active Distribution Network for Large Power System Stability Studies , 2013, IEEE Transactions on Power Systems.

[38]  Mark O'Malley,et al.  Multi-mode operation of Combined Cycle Gas Turbines with increasing wind penetration , 2010, IEEE PES General Meeting.

[39]  Ting Wu,et al.  Coordinated Energy Dispatching in Microgrid With Wind Power Generation and Plug-in Electric Vehicles , 2013, IEEE Transactions on Smart Grid.

[40]  Kai Strunz,et al.  A BENCHMARK LOW VOLTAGE MICROGRID NETWORK , 2005 .

[41]  Niels Kjølstad Poulsen,et al.  Economic Model Predictive Control for building climate control in a Smart Grid , 2012, 2012 IEEE PES Innovative Smart Grid Technologies (ISGT).

[42]  M Castilla,et al.  Virtual Impedance Loop for Droop-Controlled Single-Phase Parallel Inverters Using a Second-Order General-Integrator Scheme , 2010, IEEE Transactions on Power Electronics.