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Local and regional microgrid models to optimise the design of isolated electrification projects

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  • Domenech, B.
  • Ranaboldo, M.
  • Ferrer-Martí, L.
  • Pastor, R.
  • Flynn, D.

Abstract

Wind-photovoltaic stand-alone electrification systems are a suitable option to provide electricity to isolated villages, in the right context of rural areas far from the national grid. Many initiatives promote electrification projects in rural areas spread across a territory; generally considering each village independently, implementing local microgrids. However, for the case of several neighbouring villages, a regional microgrid connecting them together may reduce costs. Determining the optimal design requires solving complex optimisation combinatorial problems to explore possible generator combinations and microgrid connections. In order to find the solution, a two-scale procedure is proposed: first, a local-scale mathematical model is developed to design a microgrid for each village; and then, a regional-scale model is proposed to design a microgrid connecting the villages together. Both models minimise the lifecycle costs and optimise supply quality, while considering the electrical requirements of end-users and solving for the location of equipment and the microgrid structure. For its validation, the two-scale procedure is considered for five small villages in La Rioja (Northern Spain); according to an Administration request to promote electrification for rural development. As a result, an optimised regional microgrid is proposed, supplying the five villages together, using medium voltage lines between them and low voltage lines internally, with generators centrally located on a windier mountain peak.

Suggested Citation

  • Domenech, B. & Ranaboldo, M. & Ferrer-Martí, L. & Pastor, R. & Flynn, D., 2018. "Local and regional microgrid models to optimise the design of isolated electrification projects," Renewable Energy, Elsevier, vol. 119(C), pages 795-808.
    • Handle: RePEc:eee:renene:v:119:y:2018:i:c:p:795-808
    DOI: 10.1016/j.renene.2017.10.060
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    3. Juanpera, M. & Blechinger, P. & Ferrer-Martí, L. & Hoffmann, M.M. & Pastor, R., 2020. "Multicriteria-based methodology for the design of rural electrification systems. A case study in Nigeria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    4. Thomas T. D. Tran & Amanda D. Smith, 2019. "Stochastic Optimization for Integration of Renewable Energy Technologies in District Energy Systems for Cost-Effective Use," Energies, MDPI, vol. 12(3), pages 1-26, February.
    5. Pedro Ciller & Fernando de Cuadra & Sara Lumbreras, 2019. "Optimizing Off-Grid Generation in Large-Scale Electrification-Planning Problems: A Direct-Search Approach," Energies, MDPI, vol. 12(24), pages 1-22, December.
    6. Viesi, Diego & Crema, Luigi & Mahbub, Md Shahriar & Verones, Sara & Brunelli, Roberto & Baggio, Paolo & Fauri, Maurizio & Prada, Alessandro & Bello, Andrea & Nodari, Benedetta & Silvestri, Silvia & To, 2020. "Integrated and dynamic energy modelling of a regional system: A cost-optimized approach in the deep decarbonisation of the Province of Trento (Italy)," Energy, Elsevier, vol. 209(C).
    7. Sokolnikova, P. & Lombardi, P. & Arendarski, B. & Suslov, K. & Pantaleo, A.M. & Kranhold, M. & Komarnicki, P., 2020. "Net-zero multi-energy systems for Siberian rural communities: A methodology to size thermal and electric storage units," Renewable Energy, Elsevier, vol. 155(C), pages 979-989.
    8. Akbas, Beste & Kocaman, Ayse Selin & Nock, Destenie & Trotter, Philipp A., 2022. "Rural electrification: An overview of optimization methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    9. Bruno Domenech & Laia Ferrer-Martí & Facundo García & Georgina Hidalgo & Rafael Pastor & Antonin Ponsich, 2022. "Optimizing PV Microgrid Isolated Electrification Projects—A Case Study in Ecuador," Mathematics, MDPI, vol. 10(8), pages 1-24, April.
    10. Alfonso Angel Medina-Santana & Leopoldo Eduardo Cárdenas-Barrón, 2022. "Optimal Design of Hybrid Renewable Energy Systems Considering Weather Forecasting Using Recurrent Neural Networks," Energies, MDPI, vol. 15(23), pages 1-28, November.
    11. Li, Bo & Li, Xu & Su, Qingyu, 2022. "A system and game strategy for the isolated island electric-gas deeply coupled energy network," Applied Energy, Elsevier, vol. 306(PA).
    12. Maria Magdalena Turek Rahoveanu & Valentin Serban & Adrian Gheorghe Zugravu & Adrian Turek Rahoveanu & Dragoș Sebastian Cristea & Petronela Nechita & Cristian Silviu Simionescu, 2022. "Perspectives on Smart Villages from a Bibliometric Approach," Sustainability, MDPI, vol. 14(17), pages 1-17, August.

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