- Name
- Magnus Korpås
- Title
- WP3 Lead
- Organization
Stochastic Model for flexibility procurement and activation by DSOs
Challenge and objective
- Recently, Distribution System Operators (DSO) are facing increasing congestion management challenges in their grids.
- DSOs are in many countries not allowed to buy or sell electricity, but must request flexibility through a future local flexibility market (LFM).
- This paper proposes a LFM architecture which allows the DSO to book flexibility from aggregators and activate flexibility when needed.
Work performed
- Developed a stochastic optimization program where the DSO books and activates flexibility considering the cost of energy not served and cost of battery degradation.
- Analysed th use of the model for a Norwegian case study.
- Studied the impact of battery costs and Value of Lost Load (VoLL) pricing.
Significant results
- Results illustrate that the batteries are nowadays at affordable prices for flexibility provision.
- Affordable battery price where no curtailment occurs, is only achievable when prices reach below 200 €/kWh, depending on VoLL.
Impact for distribution system innovation
- This is a decision aid model and flexibility market architecture that can be deployed for handling local grid congestions.
![DSO flexibility booking (1.stage) and activation (2.stage) problem](/globalassets/project/cineldi/kunnskapsbank/figurer-resultater/2121-stochastic-model-for-flexibility-procurement-and-activation-by-dsos-wp5_-digeco.png?width=1080&height=608&mode=crop&scale=both&quality=80)
![](/globalassets/project/cineldi/innovasjoner/bildeblokker-ikon/ikon-wp5.png?width=1080&height=608&mode=crop&scale=both&quality=80)
Reference in CINELDI
- S. Bjarghov, M. Kalantar-Neyestanaki, R. Charkaoui, H. Farahmand: "Battery Degradation-Aware Congestion Management in Local Flexibility Markets", IEEE PowerTech 2021.