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Optimal interconnection and renewable targets for north-west Europe

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Author Info

  • Lynch, Muireann Á.
  • Tol, Richard S.J.
  • O'Malley, Mark J.

Abstract

We present a mixed-integer, linear programming model for determining optimal interconnection for a given level of renewable generation using a cost minimisation approach. Optimal interconnection and capacity investment decisions are determined under various targets for renewable penetration. The model is applied to a test system for eight regions in Northern Europe. It is found that considerations on the supply side dominate demand side considerations when determining optimal interconnection investment: interconnection is found to decrease generation capacity investment and total costs only when there is a target for renewable generation. Higher wind integration costs see a concentration of wind in high-wind regions with interconnection to other regions.

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Bibliographic Info

Article provided by Elsevier in its journal Energy Policy.

Volume (Year): 51 (2012)
Issue (Month): C ()
Pages: 605-617

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Handle: RePEc:eee:enepol:v:51:y:2012:i:c:p:605-617

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Web page: http://www.elsevier.com/locate/enpol

Related research

Keywords: Electricity interconnection; Renewable generation; Mixed-integer linear programming;

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Cited by:
  1. Brancucci Martínez-Anido, C. & Vandenbergh, M. & de Vries, L. & Alecu, C. & Purvins, A. & Fulli, G. & Huld, T., 2013. "Medium-term demand for European cross-border electricity transmission capacity," Energy Policy, Elsevier, vol. 61(C), pages 207-222.
  2. Nuno Carvalho Figueiredo & Patrícia Pereira da Silva & Pedro Cerqueira, 2014. "The Renewables Influence on Market Splitting: the Iberian Spot Electricity Market," GEMF Working Papers 2014-14, GEMF - Faculdade de Economia, Universidade de Coimbra.
  3. Muireann Á. Lynch & Richard Tol & Mark J. O’Malley, 2014. "Minimising costs and variability of electricity generation by means of optimal electricity interconnection utilisation," Working Paper Series 6814, Department of Economics, University of Sussex.

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