Optimization of Hybrid Renewable Energy Microgrid for Rural Agricultural Area in Southern Philippines

Rovick Tarife, Yosuke Nakanishi, Yining Chen, Yicheng Zhou, Noel Estoperez and Anacita Tahud
Additional contact information
Rovick Tarife: Graduate School of Environment and Energy Engineering, Waseda University, Tokyo 169-8555, Japan
Yosuke Nakanishi: Graduate School of Environment and Energy Engineering, Waseda University, Tokyo 169-8555, Japan
Yining Chen: Graduate School of Environment and Energy Engineering, Waseda University, Tokyo 169-8555, Japan
Yicheng Zhou: Graduate School of Environment and Energy Engineering, Waseda University, Tokyo 169-8555, Japan
Noel Estoperez: Department of Electrical Engineering and Technology, Mindanao State University–Iligan Institute of Technology, A. Bonifacio Ave., Iligan City 9200, Philippines
Anacita Tahud: Department of Electrical Engineering and Technology, Mindanao State University–Iligan Institute of Technology, A. Bonifacio Ave., Iligan City 9200, Philippines

Energies, 2022, vol. 15, issue 6, 1-29

Abstract: Microgrids, or distributed systems of local energy generation, transmission, and demand, are now technologically and operationally capable of providing power to communities, especially in rural and peri-urban regions of developing nations. The reliability of the system, the cost of power generation, and the operating environmental impact are the major issues when designing and evaluating the performance of an off-grid hybrid renewable energy microgrid (HREM). This paper presents an integrated method for optimal sizing and operation of an HREM for rural agricultural communities in the Southern Philippines composed of run-of-the-river hydropower, photovoltaics (PV), diesel generator, and a battery energy storage system (BESS) using multi-objective particle swarm optimization (MOPSO) and a proposed multi-case power management strategy. The three conflicting objective functions that were simultaneously minimized were: loss of power supply probability (LPSP), levelized cost of energy (LCOE), and greenhouse gas (GHG) emissions, subject to several constraints. The optimization generated 200 non-dominated or Pareto optimal alternative solutions, 4 of which were selected as solutions of interest. Based on the results, the optimal sizes of the main components for the reliable operation of the system are 100 panels with a rating of 0.25 kW for PV, 100 kWh for BESS, and 13 kW for the diesel generator, with corresponding LCOE, LPSP, and GHG emission values of 0.1795 USD/kWh, 0.05%, and 7874 kg, respectively, for 1 year. The effectiveness of the proposed HREM design was also analyzed, and the study yielded plenty of useful findings that could aid the electrification of the area.

Keywords: operation optimization; MOPSO; hybrid microgrid; renewable energy (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/6/2251/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/6/2251/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:6:p:2251-:d:774837

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().