Real-time control of microgrids with explicit power setpoints: Unintentional islanding

We propose a method to perform a safe unintentional islanding maneuver of microgrids. The method is derived in the context of a framework for the real-time control of microgrids, called Commelec, recently proposed by the Authors. The framework uses a hierarchy of software agents that communicate with each other using a common, device independent protocol in order to define explicit power setpoints without the need of droop controllers. We show that the features of the framework allow to design a generic control method for treating unintentional islanding with the following properties. First, the method is able to choose the best candidate slack resource, based on the information obtained from the agents. Second, as the agent responsible for the grid has a global view of the network's status and its resources, it is possible to optimize the performance of the network during and after the islanding transition. Third, after the islanding maneuver it allows for the online switching of the slack resource to that with the best capabilities to face the network's needs. Finally, the method is suitable for inertia-less systems as the control is performed using explicit power setpoints and it does not rely on the frequency signal. We illustrate the benefits of the proposed method via simulation on the LV microgrid benchmark defined by the CIGRÉ Task Force C6.04.02, by comparing its performance to that of the standard droop-based method called load drop anticipator.

[1]  Antonio Gómez Expósito,et al.  A Multilevel State Estimation Paradigm for Smart Grids , 2011, Proceedings of the IEEE.

[2]  Rodrigo Palma-Behnke,et al.  A Microgrid Energy Management System Based on the Rolling Horizon Strategy , 2013, IEEE Transactions on Smart Grid.

[3]  Andrey Bernstein,et al.  A composable method for real-time control of active distribution networks with explicit power setpoints. Part I: Framework , 2015 .

[4]  R. L. Vasquez-Arnez,et al.  Microgrid transition to islanded modes: Conceptual background and simulation procedures aimed at assessing its dynamic performance , 2012, PES T&D 2012.

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

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

[7]  Mario Paolone,et al.  Improvement of Dynamic Modeling of Supercapacitor by Residual Charge Effect Estimation , 2014, IEEE Transactions on Industrial Electronics.

[8]  J.A.P. Lopes,et al.  Defining control strategies for MicroGrids islanded operation , 2006, IEEE Transactions on Power Systems.

[9]  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 .

[10]  Qiang Fu,et al.  Transition Management of Microgrids With High Penetration of Renewable Energy , 2014, IEEE Transactions on Smart Grid.

[11]  Andrey Bernstein,et al.  A Composable Method for Real-Time Control of Active Distribution Networks with Explicit Power Setpoints , 2014, ArXiv.

[12]  M. R. Iravani,et al.  Control of a Multiple Source Microgrid With Built-in Islanding Detection and Current Limiting , 2012, IEEE Transactions on Power Delivery.

[13]  T. Logenthiran,et al.  Agent-based intelligent control for real-time operation of a microgrid , 2010, 2010 Joint International Conference on Power Electronics, Drives and Energy Systems & 2010 Power India.