Publication

Optimal energy dispatch in a smart micro-grid system using economic model predictive control

Journal Article (2018)

Journal

Proceedings of the Institution of Mechanical Engineers Part I - Journal of Systems and Control Engineering

Pages

1-11

Doc link

https://doi.org/10.1177/0959651818786376

File

Download the digital copy of the doc pdf document

Abstract

The problem of energy dispatch in heterogeneous complex systems such as smart grids cannot be efficiently addressed using classical control or ad-hoc methods. This paper discusses the application of Economic Model Predictive Control (EMPC) to the management of a smart micro-grid system connected to an electrical power grid. The considered system is composed of several subsystems, namely some photovoltaic (PV) panels, a wind generator, a hydroelectric generator, a diesel generator, and some storage devices (batteries). The batteries are charged with the energy from the PV panels, wind and hydroelectric generators, and they are discharged whenever the generators produce less energy than needed. The subsystems are interconnected via a DC Bus, from which load demands are satisfied. Modeling smart grids components is based on the generalized flow-based networked systems paradigm, and assuming energy generators to be stable, load demands and energy prices are known. This study shows that EMPC is economically superior to a two-layer hierarchical MPC.

Categories

control theory.

Author keywords

Smart grid, Energy Dispatch, Model Predictive Control, Economic Model Predictive Control

Scientific reference

M. Nassourou, J. Blesa and V. Puig. Optimal energy dispatch in a smart micro-grid system using economic model predictive control. Proceedings of the Institution of Mechanical Engineers Part I - Journal of Systems and Control Engineering: 1-11, 2018.