Abstract
Our electricity infrastructure is getting more complex and heterogeneous. Holistically analyzing grids is therefore increasingly challenging. Co-simulation, i.e. the coordinated execution of independent subsystem simulators, is inherently well suited to handling these challenges. However, the computational needs of calculating power flows within the simulated grid may limit the scalability for large-scale co-simulations. Recent advances in quantum computing offer a potential solution to these concerns: The computing paradigm‘s potential for exponentially speeding up power flow has been shown. To utilize these capabilities for smart grid simulations, we propose quantum–classical co-simulation: integrating simulators running on quantum hardware with an otherwise classical co-simulation. Specifically, we focus on exploiting quantum power flow in smart grid co-simulations. This concept is promising for applications that require comprehensive grid simulation and whose scalability is impeded by the computational properties of power flow. This paper highlights the concept of quantum–classical co-simulation, and advocates for its criticality and applications in supporting smart grid analytics. We encourage and facilitate research by recommending a five-item research roadmap. We also provide a detailed discussion on the potential obstacles in implementing this concept, to help bring its theoretical value to practice.
| Original language | English |
|---|---|
| Title of host publication | 2023 11th Workshop on Modelling and Simulation of Cyber-Physical Energy Systems (MSCPES) |
| Publisher | IEEE Canada |
| Pages | 1-6 |
| Number of pages | 6 |
| ISBN (Print) | 979-8-3503-3683-2 |
| DOIs | |
| Publication status | Published - 9 May 2023 |
| Event | 2023 11th Workshop on Modelling and Simulation of Cyber-Physical Energy Systems (MSCPES) - San Antonio, TX, USA Duration: 9 May 2023 → 9 May 2023 |
Conference
| Conference | 2023 11th Workshop on Modelling and Simulation of Cyber-Physical Energy Systems (MSCPES) |
|---|---|
| Period | 9/05/23 → 9/05/23 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy
Keywords
- Quantum computing
- Computational modeling
- Scalability
- Information retrieval
- Hardware
- Software
- Encoding
Classification according to Österreichische Systematik der Wissenschaftszweige (ÖFOS 2012)
- 202022 Information technology
Applied Research Level (ARL)
- ARL Level 2 - Description of the application of a principle
Research focus/foci
- Industrial Informatics
Fingerprint
Dive into the research topics of 'Exploiting Quantum Power Flow in Smart Grid Co-Simulation'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver