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Assessing the value of forecast-based dispatch in the operation of off-grid rural microgrids

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  • Mazzola, Simone
  • Vergara, Claudio
  • Astolfi, Marco
  • Li, Vivian
  • Perez-Arriaga, Ignacio
  • Macchi, Ennio

Abstract

Hybrid microgrids are expected to play an important role in the expansion of access to electricity in developing countries. While most of these systems are operated with dispatch strategies which do not make use of predictions about the load or about the availability of renewable energy resources, forecast-based strategies have recently gained attention as an alternative to bring down operation costs. In this work, we develop a framework to assess this potential under a range of assumptions about the quality of load and photovoltaic generation forecasts. The application of the methodology to a village of 600 households reveals cost savings ranging between 2% and 7% depending on the forecast quality and the composition of the microgrid. We also show that sizing microgrid components under the assumption of a predictive operation strategy results in a design with a higher share of intermittent generation.

Suggested Citation

  • Mazzola, Simone & Vergara, Claudio & Astolfi, Marco & Li, Vivian & Perez-Arriaga, Ignacio & Macchi, Ennio, 2017. "Assessing the value of forecast-based dispatch in the operation of off-grid rural microgrids," Renewable Energy, Elsevier, vol. 108(C), pages 116-125.
    • Handle: RePEc:eee:renene:v:108:y:2017:i:c:p:116-125
    DOI: 10.1016/j.renene.2017.02.040
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    References listed on IDEAS

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    1. Ahmad Khan, Aftab & Naeem, Muhammad & Iqbal, Muhammad & Qaisar, Saad & Anpalagan, Alagan, 2016. "A compendium of optimization objectives, constraints, tools and algorithms for energy management in microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1664-1683.
    2. Abedini, Mohammad & Moradi, Mohammad H. & Hosseinian, S. Mahdi, 2016. "Optimal management of microgrids including renewable energy scources using GPSO-GM algorithm," Renewable Energy, Elsevier, vol. 90(C), pages 430-439.
    3. Mazzola, Simone & Astolfi, Marco & Macchi, Ennio, 2016. "The potential role of solid biomass for rural electrification: A techno economic analysis for a hybrid microgrid in India," Applied Energy, Elsevier, vol. 169(C), pages 370-383.
    4. Morais, Hugo & Kádár, Péter & Faria, Pedro & Vale, Zita A. & Khodr, H.M., 2010. "Optimal scheduling of a renewable micro-grid in an isolated load area using mixed-integer linear programming," Renewable Energy, Elsevier, vol. 35(1), pages 151-156.
    5. Mazzola, Simone & Astolfi, Marco & Macchi, Ennio, 2015. "A detailed model for the optimal management of a multigood microgrid," Applied Energy, Elsevier, vol. 154(C), pages 862-873.
    6. Delarue, Erik & D'haeseleer, William, 2008. "Adaptive mixed-integer programming unit commitment strategy for determining the value of forecasting," Applied Energy, Elsevier, vol. 85(4), pages 171-181, April.
    7. Thiam, Djiby-Racine, 2010. "Renewable decentralized in developing countries: Appraisal from microgrids project in Senegal," Renewable Energy, Elsevier, vol. 35(8), pages 1615-1623.
    8. Wang, J. & Botterud, A. & Bessa, R. & Keko, H. & Carvalho, L. & Issicaba, D. & Sumaili, J. & Miranda, V., 2011. "Wind power forecasting uncertainty and unit commitment," Applied Energy, Elsevier, vol. 88(11), pages 4014-4023.
    9. Mainali, Brijesh & Silveira, Semida, 2013. "Alternative pathways for providing access to electricity in developing countries," Renewable Energy, Elsevier, vol. 57(C), pages 299-310.
    10. Zhao, Bo & Zhang, Xuesong & Li, Peng & Wang, Ke & Xue, Meidong & Wang, Caisheng, 2014. "Optimal sizing, operating strategy and operational experience of a stand-alone microgrid on Dongfushan Island," Applied Energy, Elsevier, vol. 113(C), pages 1656-1666.
    11. Malheiro, André & Castro, Pedro M. & Lima, Ricardo M. & Estanqueiro, Ana, 2015. "Integrated sizing and scheduling of wind/PV/diesel/battery isolated systems," Renewable Energy, Elsevier, vol. 83(C), pages 646-657.
    12. Kanagawa, Makoto & Nakata, Toshihiko, 2008. "Assessment of access to electricity and the socio-economic impacts in rural areas of developing countries," Energy Policy, Elsevier, vol. 36(6), pages 2016-2029, June.
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