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

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  • 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
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    References listed on IDEAS

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    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.
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    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. 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.
    3. 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.

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