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An integrated GIS and robust optimization framework for solar PV plant planning scenarios at utility scale

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  • Pillot, Benjamin
  • Al-Kurdi, Nadeem
  • Gervet, Carmen
  • Linguet, Laurent

Abstract

Today, the overall goal of energy transition planning is to seek an optimal strategy for increasing the share of renewable sources in existing power networks, such that the growing power demand is satisfied at manageable short/long term investment. In this paper we address the problem of PV penetration in electricity networks, by considering both (1) the spatial issue of site selection and size, and (2) the temporal aspect of hourly load and demand satisfaction, in addition with the investment and maintenance costs to guarantee a viable and reliable solution. We propose to address this spatio-temporal optimization problem through an integrated GIS and robust optimization model, that allows handling of the ubiquitous dependencies between resource and demand time variability and the selection of optimal sites of renewable power generation. Our approach contributes to the integration of the multi-dimensional and combinatorial aspects of this problem, gathering geographical layers (regional or national scale) and temporal packing (hourly time stamp) constraints, and cost functions. This model computes the optimal geographical location and size of PV facilities allowing energy planning targets to be met at minimal cost in a reliable manner. In this paper, we illustrate our approach by studying the penetration of large-scale solar PV in the French Guiana’s power system. Among the results, we show for instance that: (1) our approach performs geographical aggregation with real contextual data, i.e. balances the intermittency of RE sources by spreading out the corresponding installations (location + size) across the territory; (2) the total installed PV capacity can be doubled by removing the 35% penetration limit on intermittent power without exceeding hourly demand; (3) the safest investment scenario is below 30MW of new PV facilities (≈45M€ and 2 plants), though it is theoretically possible to install up to 45MW (>120M€ and 11 plants).

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  • Pillot, Benjamin & Al-Kurdi, Nadeem & Gervet, Carmen & Linguet, Laurent, 2020. "An integrated GIS and robust optimization framework for solar PV plant planning scenarios at utility scale," Applied Energy, Elsevier, vol. 260(C).
    • Handle: RePEc:eee:appene:v:260:y:2020:i:c:s0306261919319440
    DOI: 10.1016/j.apenergy.2019.114257
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    as
    1. Elminir, Hamdy K., 2007. "Experimental and theoretical investigation of diffuse solar radiation: Data and models quality tested for Egyptian sites," Energy, Elsevier, vol. 32(1), pages 73-82.
    2. Heydari, Ali & Askarzadeh, Alireza, 2016. "Optimization of a biomass-based photovoltaic power plant for an off-grid application subject to loss of power supply probability concept," Applied Energy, Elsevier, vol. 165(C), pages 601-611.
    3. Gacitua, L. & Gallegos, P. & Henriquez-Auba, R. & Lorca, Á. & Negrete-Pincetic, M. & Olivares, D. & Valenzuela, A. & Wenzel, G., 2018. "A comprehensive review on expansion planning: Models and tools for energy policy analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 346-360.
    4. Castro-Santos, Laura & Garcia, Geuffer Prado & Simões, Teresa & Estanqueiro, Ana, 2019. "Planning of the installation of offshore renewable energies: A GIS approach of the Portuguese roadmap," Renewable Energy, Elsevier, vol. 132(C), pages 1251-1262.
    5. Gabrel, Virginie & Murat, Cécile & Thiele, Aurélie, 2014. "Recent advances in robust optimization: An overview," European Journal of Operational Research, Elsevier, vol. 235(3), pages 471-483.
    6. Franklin, Sergio L. & Pindyck, Robert S., 2018. "Tropical Forests, Tipping Points, and the Social Cost of Deforestation," Ecological Economics, Elsevier, vol. 153(C), pages 161-171.
    7. Qianna Wang & Martin Mwirigi M'Ikiugu & Isami Kinoshita, 2014. "A GIS-Based Approach in Support of Spatial Planning for Renewable Energy: A Case Study of Fukushima, Japan," Sustainability, MDPI, vol. 6(4), pages 1-31, April.
    8. Sultana, Arifa & Kumar, Amit, 2012. "Optimal siting and size of bioenergy facilities using geographic information system," Applied Energy, Elsevier, vol. 94(C), pages 192-201.
    9. Luz, Thiago & Moura, Pedro, 2019. "100% Renewable energy planning with complementarity and flexibility based on a multi-objective assessment," Applied Energy, Elsevier, vol. 255(C).
    10. Siyal, Shahid Hussain & Mörtberg, Ulla & Mentis, Dimitris & Welsch, Manuel & Babelon, Ian & Howells, Mark, 2015. "Wind energy assessment considering geographic and environmental restrictions in Sweden: A GIS-based approach," Energy, Elsevier, vol. 83(C), pages 447-461.
    11. Yang, Qing & Huang, Tianyue & Wang, Saige & Li, Jiashuo & Dai, Shaoqing & Wright, Sebastian & Wang, Yuxuan & Peng, Huaiwu, 2019. "A GIS-based high spatial resolution assessment of large-scale PV generation potential in China," Applied Energy, Elsevier, vol. 247(C), pages 254-269.
    12. Huang, Pei & Ma, Zhenjun & Xiao, Longzhu & Sun, Yongjun, 2019. "Geographic Information System-assisted optimal design of renewable powered electric vehicle charging stations in high-density cities," Applied Energy, Elsevier, vol. 255(C).
    13. Dhunny, A.Z. & Doorga, J.R.S. & Allam, Z. & Lollchund, M.R. & Boojhawon, R., 2019. "Identification of optimal wind, solar and hybrid wind-solar farming sites using fuzzy logic modelling," Energy, Elsevier, vol. 188(C).
    14. Fillol, Erwann & Albarelo, Tommy & Primerose, Antoine & Wald, Lucien & Linguet, Laurent, 2017. "Spatiotemporal indicators of solar energy potential in the Guiana Shield using GOES images," Renewable Energy, Elsevier, vol. 111(C), pages 11-25.
    15. Jung, Jaehoon & Han, SangUk & Kim, Byungil, 2019. "Digital numerical map-oriented estimation of solar energy potential for site selection of photovoltaic solar panels on national highway slopes," Applied Energy, Elsevier, vol. 242(C), pages 57-68.
    16. Gorissen, Bram L. & Yanıkoğlu, İhsan & den Hertog, Dick, 2015. "A practical guide to robust optimization," Omega, Elsevier, vol. 53(C), pages 124-137.
    17. Lacal Arantegui, Roberto & Jäger-Waldau, Arnulf, 2018. "Photovoltaics and wind status in the European Union after the Paris Agreement," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2460-2471.
    18. Sabo, Mahmoud Lurwan & Mariun, Norman & Hizam, Hashim & Mohd Radzi, Mohd Amran & Zakaria, Azmi, 2017. "Spatial matching of large-scale grid-connected photovoltaic power generation with utility demand in Peninsular Malaysia," Applied Energy, Elsevier, vol. 191(C), pages 663-688.
    19. Al Garni, Hassan Z. & Awasthi, Anjali, 2017. "Solar PV power plant site selection using a GIS-AHP based approach with application in Saudi Arabia," Applied Energy, Elsevier, vol. 206(C), pages 1225-1240.
    20. Ayodele, T.R. & Ogunjuyigbe, A.S.O. & Odigie, O. & Munda, J.L., 2018. "A multi-criteria GIS based model for wind farm site selection using interval type-2 fuzzy analytic hierarchy process: The case study of Nigeria," Applied Energy, Elsevier, vol. 228(C), pages 1853-1869.
    21. Camps, Xavier & Velasco, Guillermo & de la Hoz, Jordi & Martín, Helena, 2015. "Contribution to the PV-to-inverter sizing ratio determination using a custom flexible experimental setup," Applied Energy, Elsevier, vol. 149(C), pages 35-45.
    22. Li, Xuping & Paster, Mark & Stubbins, James, 2015. "The dynamics of electricity grid operation with increasing renewables and the path toward maximum renewable deployment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 1007-1015.
    23. Etxegarai, Agurtzane & Eguia, Pablo & Torres, Esther & Iturregi, Araitz & Valverde, Victor, 2015. "Review of grid connection requirements for generation assets in weak power grids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1501-1514.
    24. Kucuksari, Sadik & Khaleghi, Amirreza M. & Hamidi, Maryam & Zhang, Ye & Szidarovszky, Ferenc & Bayraksan, Guzin & Son, Young-Jun, 2014. "An Integrated GIS, optimization and simulation framework for optimal PV size and location in campus area environments," Applied Energy, Elsevier, vol. 113(C), pages 1601-1613.
    25. Li, Ranran & Jin, Yu, 2018. "A wind speed interval prediction system based on multi-objective optimization for machine learning method," Applied Energy, Elsevier, vol. 228(C), pages 2207-2220.
    26. Hache, Emmanuel & Palle, Angélique, 2019. "Renewable energy source integration into power networks, research trends and policy implications: A bibliometric and research actors survey analysis," Energy Policy, Elsevier, vol. 124(C), pages 23-35.
    27. Alhamwi, Alaa & Medjroubi, Wided & Vogt, Thomas & Agert, Carsten, 2019. "Development of a GIS-based platform for the allocation and optimisation of distributed storage in urban energy systems," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    28. Ali, Shahid & Taweekun, Juntakan & Techato, Kuaanan & Waewsak, Jompob & Gyawali, Saroj, 2019. "GIS based site suitability assessment for wind and solar farms in Songkhla, Thailand," Renewable Energy, Elsevier, vol. 132(C), pages 1360-1372.
    29. J W Chinneck & K Ramadan, 2000. "Linear programming with interval coefficients," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(2), pages 209-220, February.
    30. Giamalaki, Marina & Tsoutsos, Theocharis, 2019. "Sustainable siting of solar power installations in Mediterranean using a GIS/AHP approach," Renewable Energy, Elsevier, vol. 141(C), pages 64-75.
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