An application of a centralized model predictive control on microgrids

Khaled Hajar (1, 2) , Ahmad Hably (1) , Seddik Bacha (3) , Ahmad Elrafhi (2) , Ziad Obeid (2)

1 GIPSA-SYSCO - GIPSA - Systèmes non linéaires et complexité
2 ULF - Université de Technologie et des Sciences Appliquées libano-française [Liban]
3 G2ELab - Laboratoire de Génie Electrique de Grenoble

In this paper, a centralized model predictive control (MPC) is applied on a group of interconnected microgrids (MGs) with the main grid. The objective is to maximize the benefits for all the elements constituting the MGs in addition to the benefits of the main grid. The application of MPC in our study needs a forecasting information about energy prices, production power, and loads. The algorithm is tested on five interconnected MGs connected to the main grid. Results have shown the performance of the proposed algorithm, especially for the benefits of MG owners, the coordination between MGs while respecting of the constraints related to each one of them.

Domaines: Automatique / Robotique; Energie électrique

Khaled Hajar, Ahmad Hably, Seddik Bacha, Ahmad Elrafhi, Ziad Obeid. An application of a centralized model predictive control on microgrids. EPEC 2016 - IEEE Electrical Power and Energy Conference, Oct 2016, Ottawa, Canada. ⟨hal-01385578⟩