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Storage as a flexibility option in power systems with high shares of variable renewable energy sources: a POLES-based analysis

Author

Listed:
  • Després, Jacques
  • Mima, Silvana
  • Kitous, Alban
  • Criqui, Patrick
  • Hadjsaid, Nouredine
  • Noirot, Isabelle
Abstract
In this paper, we demonstrate the role of electricity storage for the integration of high shares of variable renewable energy sources (VRES) in the long-term evolution of the power system. For this, a new electricity module is developed in POLES (Prospective Outlook on Long-term Energy Systems). It now takes into account the impacts of VRES on the European power system. The power system operation relies on EUCAD (European Unit Commitment and Dispatch), which includes daily storage and other inter-temporal constraints. The innovative aspect of our work is the direct coupling between POLES and EUCAD, thus combining a long-term simulation horizon and a short-term approach for the power system operation. The storage technologies represented are pumped-hydro storage, lithium-ion batteries, adiabatic compressed air energy storage (a-CAES) and electric vehicles (charging optimisation and vehicle-to-grid). Demand response and European grid interconnections are also represented in order to include, to some extent, these flexibility options.

Suggested Citation

  • Després, Jacques & Mima, Silvana & Kitous, Alban & Criqui, Patrick & Hadjsaid, Nouredine & Noirot, Isabelle, 2017. "Storage as a flexibility option in power systems with high shares of variable renewable energy sources: a POLES-based analysis," Energy Economics, Elsevier, vol. 64(C), pages 638-650.
  • Handle: RePEc:eee:eneeco:v:64:y:2017:i:c:p:638-650
    DOI: 10.1016/j.eneco.2016.03.006
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    More about this item

    Keywords

    Electricity storage; Long-term modelling; Power system dispatch; Variable renewable energy sources; Flexibility;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • D9 - Microeconomics - - Micro-Based Behavioral Economics
    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance
    • Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy

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