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Multilevel Control for Microgrids Dispatch Considering Stability Issues through MPC-based Frequecy Regulation

Prof. Sergio Raul Rivera Rodriguez
National University of Columbia


Prof. Dr.-Ing. Martin Mönnigmann
Mechanical Engineering

Multilevel Control for Microgrids Dispatch Considering Stability Issues through MPC-based Frequecy Regulation

Future power systems will be an aggregation of multiple microgrids; it implies a total rethink of some aspects of its operation. Microgrids are small power system networks with high penetration of renewable energy sources and energy storage systems, these networks are able to handle controllable and non-contrable loads and must be robust to different disturbances. Additionally, they can work islanded or connected to the main power network. In this way, the power engineers will need coordination and control tools in order to handle power systems with multiple microgrids. The main objective of this project is to develop a simulation tool that considers two issues in the operation of microgrids. The first issue is the power economic dispatch and the second is the frequency regulation. Normally, these two issues have been considered decoupled causing problems with the stability and robustness of the system. This proposal aims to combine both aspects considering a two level control. The first level will be in charge of the power setting of each element in the system, given by the solution of the optimization problem contemplating in the formulation two additional aspects in regards to the traditional economic dispatch. The first additional aspect is the stochastic behavior of the renewable energy sources and the second one is the stability constraints through combining bifurcation theory and nonlinear optimization (normal vector constraints for stability and robustness). The second level will be in charge of the frequency regulation using model predictive control techniques and considering the inertia mimicking in the renewable energy sources and the energy storage systems. This would provide a completely new tool for investigation the operation of multiple microgrids in a power system (Fig. 1).
Fig. 1. Multiple Microgrids in a Power System (Figure from a previous work called: S. Rivera, A. Farid, K. Youcef-Toumi, Book Chapter: “An Intelligent Multi-Agent Based Architecture for Resilient Self-Healing Operation of Multiple Microgrids”, Book on Industrial Agents: Emerging Applications of Software Agents in Industry, Elsevier 2015, Print Book ISBN: 9780128003411.