Distributed Frequency Divider-based Model Predictive Control for Frequency Control of Multi-Area Power Systems

IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), pp. 1–7

Abstract

The increasing number of distributed generation in the power system raises the need for fast and scalable distributed control algorithms. This paper proposes a distributed model predictive control for secondary frequency control that models the dynamics within a grid area in detail while considering the dynamics of other areas through a system equivalent. Consistency of the control solution is ensured by the distributed optimization algorithm. The controller adapts to changing system conditions through the measurement of the equivalent system impedance at the boundary bus. A measurement using a wideband-frequency impedance device followed by complex-curve fitting is used to extract the transfer function of the grid impedance. Furthermore, only aggregated information from other grid areas is required by the algorithm, reducing vulnerability and increasing the privacy of each area. The performance of the distributed model predictive controller is verified through numerical simulations.

Authors 5

1. Tobias Heins Aachen Institute for Automation of Complex Power Systems

   RWTH Aachen University

   Affiliation as printed

   Institute for Automation of Complex Power Systems, RWTH Aachen University,Aachen,Germany

   Institute for Automation of Complex Power Systems, RWTH Aachen University, Aachen, Germany

2. Paula Chanfreut

   Eindhoven University of Technology

   Affiliation as printed

   Eindhoven University of Technology,Department of Mechanical Engineering,The Netherlands

   Department of Mechanical Engineering, Eindhoven University of Technology, The Netherlands

3. Sriram Karthik Gurumurthy Aachen Institute for Automation of Complex Power Systems

   RWTH Aachen University

   Affiliation as printed

   Institute for Automation of Complex Power Systems, RWTH Aachen University,Aachen,Germany

   Institute for Automation of Complex Power Systems, RWTH Aachen University, Aachen, Germany

4. Antonello Monti Aachen Institute for Automation of Complex Power Systems

   RWTH Aachen University · Fraunhofer Institute for Applied Information Technology

   Affiliation as printed

   Institute for Automation of Complex Power Systems, RWTH Aachen University,Aachen,Germany

   Fraunhofer FIT, Aachen, Germany

   Institute for Automation of Complex Power Systems, RWTH Aachen University, Aachen, Germany

5. Anuradha M. Annaswamy

   Massachusetts Institute of Technology

   Affiliation as printed

   Massachusetts Institute of Technology,Department of Mechanical Engineering,Cambridge,USA

   Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, USA