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

Morato, Marcelo Menezes; Vergara-Dietrich, José D.; Esparcia, Eugene A.; Ocon, Joey D.; Normey‐Rico, Julio E.

doi:10.1016/j.renene.2021.07.012

Cited by 10 publications

(3 citation statements)

References 31 publications

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“…As for microgrid systems, geospatial analysis was still used to assess available energy resources in this area, coupled with other methods such as cluster analysis [45] or multicriteria decision making such as Fuzzy AHP-TOPSIS [46]. Different energy models were also proposed, such as Model Predictive Control microgrid coordination [47] which was used to determine off-grid system reliability. Aside from technology-specific models, generation expansion models for grid-level modeling were also proposed by Nobleza et al [48] based on the Long-Range Energy Alternatives Planning System (LEAP) model.…”

Section: Methods For Sizing and Technology Selectionmentioning

confidence: 99%

Off-Grid Electrification Using Renewable Energy in the Philippines: A Comprehensive Review

Salac,

Somera,

Castro

et al. 2024

Smart Cities

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Universal access to electricity is beneficial for the socio-economic development of a country and the development of smart communities. Unfortunately, the electrification of remote off-grid areas, especially in developing countries, is rather slow due to geographic and economic barriers. In the Philippines, specifically, many electrified off-grid areas are underserved, with access to electricity being limited to only a few hours a day. This is mainly due to the high dependence on diesel power plants (DPPs) for electrifying these areas. To address these problems, hybrid renewable energy systems (HRESs) have been considered good electrification alternatives and have been extensively studied for their techno-economic and financial feasibility for Philippine off-grid islands. In this work, articles published from 2012 to 2023 focusing on off-grid Philippine rural electrification were reviewed and classified based on their topic. The taxonomical analysis of collected studies shows that there is a saturation of works focusing on the technical and economic aspects of off-grid electrification. Meanwhile, studies focusing on environmental and socio-political factors affecting HRES off-grid electrification are lagging. A bibliographic analysis of the reviewed articles also showed that there is still a lack of a holistic approach in studying off-grid electrification in the Philippines. There are only a few works that extend beyond the typical techno-economic study. Research works focusing on environmental and socio-political factors are also mainly isolated and do not cross over with technical papers. The gap between topic clusters should be addressed in future works on off-grid electrification.

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Section: Methods For Sizing and Technology Selectionmentioning

confidence: 99%

Off-Grid Electrification Using Renewable Energy in the Philippines: A Comprehensive Review

Salac,

Somera,

Castro

et al. 2024

Smart Cities

View full text Add to dashboard Cite

show abstract

“…In (39), two terms are present: the first one is intended to assign a cost to power curtailment, such that the system is operated as close as possible to MPPT when MPPT is not possible. The second term, on the contrary, assign a cost to variations in power curtailment, which is intended to avoid large changes in generated power from one step to the following.…”

Section: Cost Functionmentioning

confidence: 99%

“…This is of foremost importance for stand-alone PV systems, where energy availability is bounded to discontinuous PV generation and power supply availability is granted by ESS with limited capacity. Indeed, some papers propose MPC-based controllers for DC microgrids [35][36][37][38][39][40][41][42], addressing different tasks spanning from Maximum Power Point Tracking (MPPT) and voltage control to economic optimization and hierarchical control. In these regards, it is clear that the MPC control performances are related to forecasts reliability.…”

Section: Introductionmentioning

confidence: 99%