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Use of demand-side flexibility to alleviate congestions in distribution networks
In recent years, the penetration of renewable energy resources in distribution grids has been steadily increasing, raising new issues such as voltage violations or line congestions. Due to their large inertia, individual buildings may regulate their heating system to help distribution system operators alleviating these congestions.
In our previous work, we designed an energy management system that self-exports a flexibility envelope to a system operator for system-level dispatch [1]. The envelope contains the maximal and minimum energy that the household can consume over an horizon of a day. Now, we would like to employ this information to reduce congestions in distribution grids.
[1] Gasser, J., et al., Predictive energy management of residential buildings while self reporting flexibility envelope. (2021), Applied Energy, 288, p.116653.
Keywords: Demand-side flexibility, Building flexibility, Local flexibility use, Grid congestion.
The aim of this project is to optimally use demand-side flexibility in
order to alleviate voltage violations and line congestions in distribution grids. The
student will rely on the flexibility potential of households which was determined in
a previous project to do so.
The aim of this project is to optimally use demand-side flexibility in order to alleviate voltage violations and line congestions in distribution grids. The student will rely on the flexibility potential of households which was determined in a previous project to do so.
The tasks that will be carried out in this project are:
1. Conduct a brief review on challenges imposed by an increase in consumption and a massive integration of renewable energy technologies in distribution grids.
2. Explore the literature on optimal control strategies to alleviate congestion in distribution grids.
3. Develop an efficient power flow algorithm to detect voltage and power flow violations that are expected to occur in a distribution grid (based on forecasts provided by the supervisors).
4. Determine the needs for flexibility and define a method to optimally use the demand-side flexibility.
5. Analyze the results and write a report.
The tasks that will be carried out in this project are:
1. Conduct a brief review on challenges imposed by an increase in consumption and a massive integration of renewable energy technologies in distribution grids.
2. Explore the literature on optimal control strategies to alleviate congestion in distribution grids.
3. Develop an efficient power flow algorithm to detect voltage and power flow violations that are expected to occur in a distribution grid (based on forecasts provided by the supervisors).
4. Determine the needs for flexibility and define a method to optimally use the demand-side flexibility.
5. Analyze the results and write a report.
Julie Rousseau (jrousseau@ethz.ch)
Hanmin Cai (hanmin.cai@empa.ch)
Julie Rousseau (jrousseau@ethz.ch) Hanmin Cai (hanmin.cai@empa.ch)
SAMA_Use_of_flexibility_for_distribution_grid_congestion.pdf
