IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v32y2007i5p727-737.html
   My bibliography  Save this article

A GIS/PSS planning tool for the initial grid connection assessment of renewable generation

Author

Listed:
  • Quinonez-Varela, G.
  • Cruden, A.
  • Graham, C.
  • Punton, B.
  • Blair, L.
  • Thomson, J.

Abstract

A fully integrated planning tool capable of undertaking an initial grid connection assessment for prospective renewable energy generators (REG) has been developed to support the Scottish Executive achieve their targets for renewable energy utilisation, and to assist the Scottish electric utility companies to optimise and expedite the significant volume of applications for new connections. This paper presents the conceptual design of the novel integrated planning tool intended to automate the preliminary grid connection assessments. The computer-based (PC) framework combines the analytical capabilities of modern Geographic Information Systems and existing industry-standard Power Systems Simulators. The tool allows the prompt, automated determination of the preferred grid connection route, coupling points and undertakes a capacity and voltage limit analysis of the technical feasibility analysis of the proposed REG. Simple adjustments are also permitted to investigate constraining the REG development or upgrading (re-conducturing) the existing grid connection lines.

Suggested Citation

  • Quinonez-Varela, G. & Cruden, A. & Graham, C. & Punton, B. & Blair, L. & Thomson, J., 2007. "A GIS/PSS planning tool for the initial grid connection assessment of renewable generation," Renewable Energy, Elsevier, vol. 32(5), pages 727-737.
    • Handle: RePEc:eee:renene:v:32:y:2007:i:5:p:727-737
    DOI: 10.1016/j.renene.2006.03.011
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148106000814
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2006.03.011?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Baban, Serwan M.J & Parry, Tim, 2001. "Developing and applying a GIS-assisted approach to locating wind farms in the UK," Renewable Energy, Elsevier, vol. 24(1), pages 59-71.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bhattacharyya, S.C. & Palit, D., 2021. "A critical review of literature on the nexus between central grid and off-grid solutions for expanding access to electricity in Sub-Saharan Africa and South Asia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 141(C).
    2. Angelamaria Massimo & Marco Dell'Isola & Andrea Frattolillo & Giorgio Ficco, 2014. "Development of a Geographical Information System (GIS) for the Integration of Solar Energy in the Energy Planning of a Wide Area," Sustainability, MDPI, vol. 6(9), pages 1-15, August.
    3. McWilliam, M.K. & van Kooten, G.C. & Crawford, C., 2012. "A method for optimizing the location of wind farms," Renewable Energy, Elsevier, vol. 48(C), pages 287-299.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Neupane, Deependra & Kafle, Sagar & Karki, Kaji Ram & Kim, Dae Hyun & Pradhan, Prajal, 2022. "Solar and wind energy potential assessment at provincial level in Nepal: Geospatial and economic analysis," Renewable Energy, Elsevier, vol. 181(C), pages 278-291.
    2. 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.
    3. Sahoo, Somadutta & Zuidema, Christian & van Stralen, Joost N.P. & Sijm, Jos & Faaij, André, 2022. "Detailed spatial analysis of renewables’ potential and heat: A study of Groningen Province in the northern Netherlands," Applied Energy, Elsevier, vol. 318(C).
    4. Hossein Yousefi & Saheb Ghanbari Motlagh & Mohammad Montazeri, 2022. "Multi-Criteria Decision-Making System for Wind Farm Site-Selection Using Geographic Information System (GIS): Case Study of Semnan Province, Iran," Sustainability, MDPI, vol. 14(13), pages 1-27, June.
    5. Sajid Ali & Sang-Moon Lee & Choon-Man Jang, 2017. "Determination of the Most Optimal On-Shore Wind Farm Site Location Using a GIS-MCDM Methodology: Evaluating the Case of South Korea," Energies, MDPI, vol. 10(12), pages 1-22, December.
    6. James Griffiths & William Dushenko, 2011. "Effectiveness of GIS suitability mapping in predicting ecological impacts of proposed wind farm development on Aristazabal Island, BC," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 13(6), pages 957-991, December.
    7. Rodman, Laura C. & Meentemeyer, Ross K., 2006. "A geographic analysis of wind turbine placement in Northern California," Energy Policy, Elsevier, vol. 34(15), pages 2137-2149, October.
    8. Marco Rogna, 2019. "A First-Phase Screening Device for Site Selection of Large-Scale Solar Plants with an Application to Italy," BEMPS - Bozen Economics & Management Paper Series BEMPS57, Faculty of Economics and Management at the Free University of Bozen.
    9. Villacreses, Geovanna & Gaona, Gabriel & Martínez-Gómez, Javier & Jijón, Diego Juan, 2017. "Wind farms suitability location using geographical information system (GIS), based on multi-criteria decision making (MCDM) methods: The case of continental Ecuador," Renewable Energy, Elsevier, vol. 109(C), pages 275-286.
    10. Hugo Díaz & Carlos Guedes Soares, 2021. "A Multi-Criteria Approach to Evaluate Floating Offshore Wind Farms Siting in the Canary Islands (Spain)," Energies, MDPI, vol. 14(4), pages 1-18, February.
    11. Frank Hanssen & Roel May & Jiska van Dijk & Jan Ketil Rød, 2018. "Spatial Multi-Criteria Decision Analysis Tool Suite for Consensus-Based Siting of Renewable Energy Structures," Journal of Environmental Assessment Policy and Management (JEAPM), World Scientific Publishing Co. Pte. Ltd., vol. 20(03), pages 1-28, September.
    12. Ramírez-Rosado, Ignacio J. & García-Garrido, Eduardo & Fernández-Jiménez, L. Alfredo & Zorzano-Santamaría, Pedro J. & Monteiro, Cláudio & Miranda, Vladimiro, 2008. "Promotion of new wind farms based on a decision support system," Renewable Energy, Elsevier, vol. 33(4), pages 558-566.
    13. Baseer, M.A. & Rehman, S. & Meyer, J.P. & Alam, Md. Mahbub, 2017. "GIS-based site suitability analysis for wind farm development in Saudi Arabia," Energy, Elsevier, vol. 141(C), pages 1166-1176.
    14. Gorsevski, Pece V. & Cathcart, Steven C. & Mirzaei, Golrokh & Jamali, Mohsin M. & Ye, Xinyue & Gomezdelcampo, Enrique, 2013. "A group-based spatial decision support system for wind farm site selection in Northwest Ohio," Energy Policy, Elsevier, vol. 55(C), pages 374-385.
    15. Yasir Ahmed Solangi & Qingmei Tan & Muhammad Waris Ali Khan & Nayyar Hussain Mirjat & Ifzal Ahmed, 2018. "The Selection of Wind Power Project Location in the Southeastern Corridor of Pakistan: A Factor Analysis, AHP, and Fuzzy-TOPSIS Application," Energies, MDPI, vol. 11(8), pages 1-26, July.
    16. Tabassum-Abbasi, & Premalatha, M. & Abbasi, Tasneem & Abbasi, S.A., 2014. "Wind energy: Increasing deployment, rising environmental concerns," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 270-288.
    17. Roy, Sandeepan & Maji, Avijit, 2019. "Optimization of High-Speed Railway Station Location Selection Based on Accessibility and Environmental Impact," ADBI Working Papers 953, Asian Development Bank Institute.
    18. Li, Tianxiao & Li, Zheng & Li, Weiqi, 2020. "Scenarios analysis on the cross-region integrating of renewable power based on a long-period cost-optimization power planning model," Renewable Energy, Elsevier, vol. 156(C), pages 851-863.
    19. Harper, Michael & Anderson, Ben & James, Patrick A.B. & Bahaj, AbuBakr S., 2019. "Onshore wind and the likelihood of planning acceptance: Learning from a Great Britain context," Energy Policy, Elsevier, vol. 128(C), pages 954-966.
    20. Molina-Ruiz, José & Martínez-Sánchez, María José & Pérez-Sirvent, Carmen & Tudela-Serrano, Mari Luz & García Lorenzo, Mari Luz, 2011. "Developing and applying a GIS-assisted approach to evaluate visual impact in wind farms," Renewable Energy, Elsevier, vol. 36(3), pages 1125-1132.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:32:y:2007:i:5:p:727-737. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.