Assessing demand compliance and reliability in the Philippine off-grid islands with Model Predictive Control microgrid coordination. (December 2021)

• Record Type: Journal Article
• Authors: Morato, Marcelo M.; Vergara-Dietrich, José; Esparcia, Eugene A.; Ocon, Joey D.; Normey-Rico, Julio E.
• Is Part Of: Renewable energy. Volume 179(2021)
• Page Start: 1271
• Page End: 1290
• Publication Date: 2021-12
• Subjects: Microgrid -- Robust model predictive control -- Min-max optimization -- μ-analysis -- Realistic simulation; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.renene.2021.07.012
• Languages: English
• ISSNs: 0960-1481

Abstract

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. Highlights: A generalized model is presented for Off-Grid Microgrids with multiple carriers. The Philippine Off-grid islands are considered, with diesel, solar, and wind energy. A Robust Model Predictive Control scheme is proposed to manage these Microgrids. Demand compliance and operation reliability are assessed through robustness analysis. Numerical simulation illustrate reliability under multiple scenarios.