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Exploiting Quantum Power Flow in Smart Grid Co-Simulation

  • Department of Electrical and Computer Engineering, University of Denver
  • University of Denver
  • R&D Division Energy, OFFIS - Institute for Information Technology
  • OFFIS - Institute for Information Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 languageEnglish
Title of host publication2023 11th Workshop on Modelling and Simulation of Cyber-Physical Energy Systems (MSCPES)
PublisherIEEE Canada
Pages1-6
Number of pages6
ISBN (Print)979-8-3503-3683-2
DOIs
Publication statusPublished - 9 May 2023
Event2023 11th Workshop on Modelling and Simulation of Cyber-Physical Energy Systems (MSCPES) - San Antonio, TX, USA
Duration: 9 May 20239 May 2023

Conference

Conference2023 11th Workshop on Modelling and Simulation of Cyber-Physical Energy Systems (MSCPES)
Period9/05/239/05/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    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

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