- Magnus Korpås
- WP3 Lead
Incorporating energy storage and variable renewables in power flow analysis
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.
- 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.
- 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.
Reference in CINELDI
- I.B. Sperstad, M. Korpås: "Energy storage scheduling in distribution systems considering wind and photovoltaic generation uncertainties", Energies 12(7), 2019.