| EPSRC Reference: |
EP/Y005376/1 |
| Title: |
Virtual Power Plant with Artificial Intelligence for Resilience and Decarbonisation (VPP-WARD) |
| Principal Investigator: |
SUN, Professor H |
| Other Investigators: |
| Metje, Professor N |
Tsaftaris, Professor S |
Kiprakis, Professor A |
| Osman, Professor AS |
Du, Dr H |
Jindal, Dr A |
| Aujla, Dr G |
Matthews, Dr PC |
Kazemtabrizi, Dr B |
| Faramarzi, Professor A |
Shahbazi, Dr M |
Xiao, Professor S |
| Kirli, Dr D |
JIANG, Dr J |
Mahmud, Dr M |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Engineering |
| Organisation: |
Durham, University of |
| Scheme: |
Standard Research - NR1 |
| Starts: |
01 May 2023 |
Ends: |
31 March 2025 |
Value (£): |
1,845,327
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| EPSRC Research Topic Classifications: |
| Artificial Intelligence |
Bioenergy |
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| EPSRC Industrial Sector Classifications: |
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| Related Grants: |
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| Panel History: |
| Panel Date | Panel Name | Outcome |
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28 Mar 2023
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AI for Net Zero
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Announced
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Summary on Grant Application Form |
Distributed Energy Resources (DERs) are small, modular energy generation and storage units, e.g., wind turbines, photovoltaics, batteries, and electric vehicles, that could be connected directly to the power distribution network. DERs play a critical role in achieving Net Zero. Presently there are over 1 million homes with solar panels in the UK. With the green energy transition well under way in the UK, by 2050 there could be tens of millions of DERs connected to the UK power grid.
Although DERs have many benefits, e.g., a reduced carbon footprint and improved energy affordability, they present complex challenges for network operators (e.g., low DER visibility, bi-directional power flow, and voltage anomalies), creating a major barrier to Net Zero. Meanwhile, natural hazards and extreme events are an increasing threat not only to humans but also power grid resilience - a direct impact is the power cuts, e.g., Storms "Dudley", "Eunice" and "Franklin" in February 2022 left over a million homes without electricity.
How best to manage millions of DERs is still an open question, especially for improving the grid resilience to natural hazards and extreme events, e.g., storms and heatwaves. This project will develop innovative physics-informed Artificial Intelligence (AI) solutions for enabling Virtual Power Plants (VPP), capable of aggregating and managing many diverse DERs; not only improving decision-making for network operators but also enhancing the grid resilience to natural hazards and extreme events. These could also lead to reduced energy bills for millions of UK energy consumers, less power cuts during extreme events, to greater adoption and more efficient management of DERs, and ultimately to enable rapid progress towards Net Zero.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
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