Design and control of smart local energy systems considering multi-phase optimal power flow
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Design and control of smart local energy systems considering multi-phase optimal power flow
CoPED ID
ce5e955f-0665-456e-92ee-3aa25f6ecace
Status
Active
Value
No funds listed.
Start Date
Sept. 30, 2022
End Date
March 31, 2026
Description
Distributed energy system optimisation is complex, especially when considering the intermittency of renewable energy and demand, combined with the large-scale non-convex optimal power flow problem. To respond to these challenges, we propose to use new theoretical advances in optimisation under uncertainty, control theory, and distributed optimisation in combination with machine learning techniques, to decompose the large-scale problem into a tractable problem that may be solved for real-time optimisation and control considering demand response to build a next generation energy system management tool.
| University of Surrey | LEAD_ORG |
| Michael Short | SUPER_PER |
| Oleksiy Klymenko | SUPER_PER |
Subjects by relevance
- Optimisation
- Machine learning
- Distributed systems
- Renewable energy sources
- Energy production (process industry)
- Energy management
- Energy systems
Extracted key phrases
- Energy system optimisation
- Smart local energy system
- Convex optimal power flow problem
- Generation energy system management tool
- Phase optimal power flow
- Renewable energy
- Time optimisation
- Control theory
- Scale problem
- Design
- Tractable problem
- Demand response
- Scale non