Title :
Optimal Control of Power Flows and Energy Local Storages in a Network of Microgrids Modeled as a System of Systems
Author :
Ouammi, Ahmed ; Dagdougui, Hanane ; Sacile, Roberto
Author_Institution :
Nat. Centre for Sci. & Tech. Res., Rabat, Morocco
Abstract :
In this paper, a centralized control model for optimal management and operation of a smart network of microgrids (SNMs) is designed. The proposed control strategy considers grid interconnections for additional power exchanges. This paper is based on an original Linear Quadratic Gaussian (LQG) problem definition for the optimal control of power flows in a SNMs. The control strategy incorporates storage devices, various distributed energy resources, and loads. The objective function aims to minimize the power exchanges among microgrids (MGs), and to make each local energy storage system in a MG works around a proper optimal value. The proposed model is evaluated through a case study in the Savona district, Italy, consisting of four MGs that cooperate together under an SNMs connected to a main grid. The case study shows that the proposed approach can effectively cope with the aim to decrease the intermittencies effects of renewable energy sources, and to manage real-time burst in the residential local demands.
Keywords :
demand side management; distributed power generation; energy storage; linear quadratic Gaussian control; load flow control; minimisation; optimal control; power control; renewable energy sources; smart power grids; LQG problem; SNM; Savona district; SoS; energy local storages; energy resources; linear quadratic gaussian problem; microgrid modeled network; objective function; optimal control; optimal management; power flows; renewable energy sources; smart network-of-microgrids; storage devices; system-of-systems; Electrostatic discharges; Energy storage; Optimal control; Optimization; Production; Vectors; Wind power generation; Linear Quadratic Gaussian (LQG) control; optimal control; smart network of microgrids (SNMs); system of systems (SoSs); wind power microgrids; wind power microgrids.;
Journal_Title :
Control Systems Technology, IEEE Transactions on
DOI :
10.1109/TCST.2014.2314474