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Spatial flexibility in redispatch: Supporting low carbon energy systems with Power-to-Gas

IEA-ETSAP
IEA-ETSAP

Spatial flexibility in redispatch: Supporting low carbon energy systems with Power-to-Gas Bobby Xiong, Pedro Crespo del Granado, Norwegian University of Science and Technology

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Spatial flexibility in redispatch:
Supporting low carbon energy systems with Power-to-Gas
16th and 17th Dec. 2020: 78th Semi-annual ETSAP workshop
Bobby Xiong*, Johannes Predel,
Pedro Crespo del Granado**, Ruud Egging-Bratseth
* b.xiong@tu-belin.de
** pedro@ntnu.no https://doi.org/10.1016/j.apenergy.2020.116201
2
Motivation
Rising congestion management costs due to RES integation
3
• Historically centralised and fossil
fuel-based power generation
• Decentralised and intermittent RE
electricity generation is
challenging
• System Operators need to curtail
vast amount of RE electricity in
order to maintain a stable grid
• Making use of already existing
infrastructure may help to support
other energy sectors
• Power-to-Gas can be used to shift
energy from the electricity
towards the gas sector
• System operator can use PtG in
order to reduce curtailment during
redispatch
• To what extent can PtG provide
flexibility in redispatch?
• Which factors drive SNG
production when PtG is used to
reduce curtailment and
redispatch volumes?
Problem Research & contributionIdea
Motivation
From problem identification to our research contribution
4
Methodology
Redispatch explained
02.08.2019Congestion Management via P2G in Liberalised Electricity Markets, ADBI Workshop
Congested
transmission line
Uncongested
transmission line
Redispatch
Methodology
Redispatch enhanced by Power-to-Gas
04.11.2020Congestion Management via P2G in Liberalised Electricity Markets, ADBI Workshop 5
Congested
transmission line
Uncongested
transmission line
Redispatch
with PtG
PtG
Methodology
Two-stage model approach
Low capital letters: Parameters
Large capital letters: Model variables
c: Cost parameters
P: Generation variables
Sets
t in T: Set of hours
g in G: Set of generation units
e in G: Subset of GfG units
r in R: Set of renewables
n in N: Set of nodes

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Spatial flexibility in redispatch: Supporting low carbon energy systems with Power-to-Gas

  • 1. Spatial flexibility in redispatch: Supporting low carbon energy systems with Power-to-Gas 16th and 17th Dec. 2020: 78th Semi-annual ETSAP workshop Bobby Xiong*, Johannes Predel, Pedro Crespo del Granado**, Ruud Egging-Bratseth * b.xiong@tu-belin.de ** pedro@ntnu.no https://doi.org/10.1016/j.apenergy.2020.116201
  • 2. 2 Motivation Rising congestion management costs due to RES integation
  • 3. 3 • Historically centralised and fossil fuel-based power generation • Decentralised and intermittent RE electricity generation is challenging • System Operators need to curtail vast amount of RE electricity in order to maintain a stable grid • Making use of already existing infrastructure may help to support other energy sectors • Power-to-Gas can be used to shift energy from the electricity towards the gas sector • System operator can use PtG in order to reduce curtailment during redispatch • To what extent can PtG provide flexibility in redispatch? • Which factors drive SNG production when PtG is used to reduce curtailment and redispatch volumes? Problem Research & contributionIdea Motivation From problem identification to our research contribution
  • 4. 4 Methodology Redispatch explained 02.08.2019Congestion Management via P2G in Liberalised Electricity Markets, ADBI Workshop Congested transmission line Uncongested transmission line Redispatch
  • 5. Methodology Redispatch enhanced by Power-to-Gas 04.11.2020Congestion Management via P2G in Liberalised Electricity Markets, ADBI Workshop 5 Congested transmission line Uncongested transmission line Redispatch with PtG PtG
  • 6. Methodology Two-stage model approach Low capital letters: Parameters Large capital letters: Model variables c: Cost parameters P: Generation variables Sets t in T: Set of hours g in G: Set of generation units e in G: Subset of GfG units r in R: Set of renewables n in N: Set of nodes
  • 7. Methodology Two-stage model approach Low capital letters: Parameters Large capital letters: Model variables c: Cost parameters P: Generation variables Sets t in T: Set of hours g in G: Set of generation units e in G: Subset of GfG units r in R: Set of renewables n in N: Set of nodes PtG
  • 8. Model results Economic dispatch: Four exemplary weeks
  • 9. 9 Model results Imbalanced distribution of load and supply call for redispatch measures Annual load Annual RES generation Annual redispatch
  • 10. Model results Imbalanced distribution of load and supply call for redispatch measures
  • 11. Model results Power-to-Gas usage naturally reduces curtailment Sensitivity analysis on varying PtG efficiency
  • 12. PAPER HIGHLIGHTS • Power-to-Gas can shift pressure from electricity to gas infrastructure. • The utilisation of Power-to-Gas in redispatch reduces curtailment by 12%. • Based on 427 analysed node, 5 nodes show a high potential for Power-to-Gas usage. • Results are supported by ongoing projects of transmission system operators. • The feasibility of Power-to-Gas depends on technology efficiency and the CO2 price. REPRODUCABILITY • Open access publication and open source model using Julia (JuMP) and R • Model code under MIT licence: https://github.com/bobbyxiong/redispatch-ptg Conclusion
  • 13. Thanks! Acknowledgements This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 835896 Bobby Xiong, Johannes Predel, Pedro Crespo del Granado*, Ruud Egging-Bratseth *Managerial Economics and Operations Research Norwegian University of Science and Technology (NTNU) Mail: pedro@ntnu.no