Challenge and objective

  • The hypothesis is that the optimal operation of a distribution system with energy storage can be investigated/determined using multi-period optimal power flow (MPOPF) techniques.
  • The objective is to value stored energy for future use, taking into account wind and PV uncertainties.

Work performed

  • Develop a method for storage valuation inspired by optimization principles from hydropower scheduling.
  • Including the energy storage model in MPOPF, together with stochastic wind and PV.
  • Performing analysis on a Norwegian test case.

Significant results

  • The storage model proved to be an effective and robust method for treating wind and PV uncertainties.
  • Should be further developed to handle load uncertainties and use of energy storage for reliability purposes.

Impact for distribution system innovation

  • The methods and models presented here can be part of the basis for the next generation of power flow tools used in practice.

Magnus Korpås

WP3 Lead
+47 970 42 009
Magnus Korpås
WP3 Lead


Reference in CINELDI