Optimal coordination of renewable sources and storage in energy-constrained power systems

Challenge and objective

  • Develop methods for providing cost efficient and safe operation strategies of local power systems with energy storage systems (ESSs) and high levels of variable renewable energy sources (VRESs).
  • Develop stochastic optimization methods for operating VRESs and ESSs considering both short- and long-term uncertainties.

Work performed

  • Describe the electricity price formation process in competitve local power systems with ESSs and high level of VRESs.
  • Analyse the operation of an islanded microgrid with ESSs and VRESs where the dispatchable generation capacity is a limiting factor.

Significant results

  • Stochastic methods can both reduce the operation costs and reduce the risk of lost load compared to determinstic and rule-based operation strategies.

Impact for distribution system innovation

  • Active operation of distributed resources, such as ESSs and demand side flexibility, can reduce operation costs and increase the security of supply.
PhD thesis - Optimal coordination of renewable sources and storage in energy-constrained power systems

Magnus Korpås

WP3 Lead
+47 970 42 009
Name
Magnus Korpås
Title
WP3 Lead
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Reference in CINELDI