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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Rovick Tarife & Yosuke Nakanishi & Yining Chen & Yicheng Zhou & Noel Estoperez & Anacita Tahud, 2022. "Optimization of Hybrid Renewable Energy Microgrid for Rural Agricultural Area in Southern Philippines," Energies, MDPI, vol. 15(6), pages 1-29, March.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:6:p:2251-:d:774837
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    References listed on IDEAS

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    Cited by:

    1. Efstathios E. Michaelides, 2022. "Transition to Renewable Energy for Communities: Energy Storage Requirements and Dissipation," Energies, MDPI, vol. 15(16), pages 1-11, August.
    2. Maciej Żołądek & Alexandros Kafetzis & Rafał Figaj & Kyriakos Panopoulos, 2022. "Energy-Economic Assessment of Islanded Microgrid with Wind Turbine, Photovoltaic Field, Wood Gasifier, Battery, and Hydrogen Energy Storage," Sustainability, MDPI, vol. 14(19), pages 1-23, September.
    3. Rovick Tarife & Yosuke Nakanishi & Yicheng Zhou & Noel Estoperez & Anacita Tahud, 2023. "Integrated GIS and Fuzzy-AHP Framework for Suitability Analysis of Hybrid Renewable Energy Systems: A Case in Southern Philippines," Sustainability, MDPI, vol. 15(3), pages 1-25, January.
    4. Daniel Kitamura & Leonardo Willer & Bruno Dias & Tiago Soares, 2023. "Risk-Averse Stochastic Programming for Planning Hybrid Electrical Energy Systems: A Brazilian Case," Energies, MDPI, vol. 16(3), pages 1-16, February.
    5. Olivier Cleynen & Dennis Powalla & Stefan Hoerner & Dominique Thévenin, 2022. "An Efficient Method for Computing the Power Potential of Bypass Hydropower Installations," Energies, MDPI, vol. 15(9), pages 1-13, April.
    6. Paweł Dworak & Andrzej Mrozik & Agata Korzelecka-Orkisz & Adam Tański & Krzysztof Formicki, 2023. "Energy Self-Sufficiency of a Salmonids Breeding Facility in the Recirculating Aquaculture System," Energies, MDPI, vol. 16(6), pages 1-22, March.
    7. Marcelino, C.G. & Leite, G.M.C. & Wanner, E.F. & Jiménez-Fernández, S. & Salcedo-Sanz, S., 2023. "Evaluating the use of a Net-Metering mechanism in microgrids to reduce power generation costs with a swarm-intelligent algorithm," Energy, Elsevier, vol. 266(C).
    8. Diego Mendoza Osorio & Javier Rosero Garcia, 2023. "Convex Stochastic Approaches for the Optimal Allocation of Distributed Energy Resources in AC Distribution Networks with Measurements Fitted to a Continuous Probability Distribution Function," Energies, MDPI, vol. 16(14), pages 1-27, July.
    9. Upasana Lakhina & Irraivan Elamvazuthi & Nasreen Badruddin & Ajay Jangra & Bao-Huy Truong & Joseph M. Guerrero, 2023. "A Cost-Effective Multi-Verse Optimization Algorithm for Efficient Power Generation in a Microgrid," Sustainability, MDPI, vol. 15(8), pages 1-25, April.

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