Assessing demand compliance and reliability in the Philippine off-grid islands with Model Predictive Control microgrid coordination

Marcelo M. Morato, José Vergara-Dietrich, Eugene A. Esparcia, Joey D. Ocon and Julio E. Normey-Rico

Renewable Energy, 2021, vol. 179, issue C, 1271-1290

Abstract: This paper considers off-grid microgrids (MGs) from the Philippine archipelago and analyses their energy generation in differents aspects. Seven different energy clusters are used, representing realistic configurations and renewable energy shares. A Robust Model Predictive Control (MPC) framework is used for the energy management and coordination task of these island MGs. The MPC is based on a min./max. optimization procedure, which takes into account the whole uncertainty set. The reliability of the MG operations are analysed with respect to the different clusters; this evaluation is conducted using μ-analysis, performed with respect to the baseline model and the uncertainty set. The demand-side compliance of the MG is also investigated, with respect to stochastic behaviours of the demands and of the renewable sources (wind and solar). Numerical simulation results are presented in order to demonstrate that reliable power outlets are produced despite variation in renewables and of the demands. This paper offers a thorough analysis of simple energy system coordinated via MPC, showing how this method can indeed be used for renewable MG management, offering robustness and ensuring reliability.

Keywords: Microgrid; Robust model predictive control; Min-max optimization; μ-analysis; Realistic simulation (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:179:y:2021:i:c:p:1271-1290

DOI: 10.1016/j.renene.2021.07.012

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