Next Generation Power System Planning and Operation With Quantum Computation
Innovative solutions and developments are being inspected to tackle rising electrical power demand to be supplied by clean forms of energy. The integration of renewable energy generations, varying nature loads, importance of active role of distribution system and consumer participation in grid opera...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10772098/ |
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| author | Priyanka Arkalgud Ganeshamurthy Kumar Ghosh Corey O'Meara Giorgio Cortiana Jan Schiefelbein-Lach Antonello Monti |
| author_facet | Priyanka Arkalgud Ganeshamurthy Kumar Ghosh Corey O'Meara Giorgio Cortiana Jan Schiefelbein-Lach Antonello Monti |
| author_sort | Priyanka Arkalgud Ganeshamurthy |
| collection | DOAJ |
| description | Innovative solutions and developments are being inspected to tackle rising electrical power demand to be supplied by clean forms of energy. The integration of renewable energy generations, varying nature loads, importance of active role of distribution system and consumer participation in grid operation has changed the landscape of classical power grids. Implementation of smarter applications to plan, monitor, operate the grid safely are deemed paramount for efficient, secure and reliable functioning of grid. These smarter applications for modern power systems demand capabilities such as real-time monitoring, dynamic security analysis, stochastic power flow calculations, large-scale data analytics, and high-dimensional combinatorial and constrained optimization. Although sophisticated computations to process gigantic volume of data to produce useful information in a time critical manner is the paradigm of future grid operations, these enhanced functionalities impose significantly higher computational demands compared to traditional approaches used in conventional power systems. Advancements in quantum technologies holds promising solution for dealing with demanding computational complexity of power system related applications. In this article, we lay out clear motivations for seeking quantum solutions for solving computational burden challenges associated with power system applications. Next, we present the fundamental principles of quantum computing, introduce key quantum algorithms, and offer a comparison of the computational load between classical and quantum approaches for few important mathematical problems, indicating their relevance to various power system applications. Additionally, we provide an overview of quantum solutions for various power system related applications available in current literature and suggest future topics for research. We further highlight challenges with existing quantum solutions for exploiting full quantum capabilities. To this end, this article serves as a bridge for power engineers to the quantum domain by outlining fundamental principles of quantum computation, facilitating a smoother transition to the future of power system computations and also provides quantum experts with insights into new application areas for quantum computing within power systems. |
| format | Article |
| id | doaj-art-13ca5218656040fda2a00b5c71fc554b |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-13ca5218656040fda2a00b5c71fc554b2024-12-11T00:05:48ZengIEEEIEEE Access2169-35362024-01-011218267318269210.1109/ACCESS.2024.350974310772098Next Generation Power System Planning and Operation With Quantum ComputationPriyanka Arkalgud Ganeshamurthy0https://orcid.org/0009-0007-1862-3520Kumar Ghosh1https://orcid.org/0000-0002-4628-6951Corey O'Meara2https://orcid.org/0000-0001-7056-7545Giorgio Cortiana3https://orcid.org/0000-0001-8745-5021Jan Schiefelbein-Lach4Antonello Monti5https://orcid.org/0000-0003-1914-9801E.ON Energy Research Center, Institute for Automation of Complex Power Systems, RWTH Aachen University, Aachen, GermanyE.ON Digital Technology GmbH, Hannover, GermanyE.ON Digital Technology GmbH, Hannover, GermanyE.ON Digital Technology GmbH, Hannover, GermanyE.ON Group Innovation GmbH, Essen, GermanyE.ON Energy Research Center, Institute for Automation of Complex Power Systems, RWTH Aachen University, Aachen, GermanyInnovative solutions and developments are being inspected to tackle rising electrical power demand to be supplied by clean forms of energy. The integration of renewable energy generations, varying nature loads, importance of active role of distribution system and consumer participation in grid operation has changed the landscape of classical power grids. Implementation of smarter applications to plan, monitor, operate the grid safely are deemed paramount for efficient, secure and reliable functioning of grid. These smarter applications for modern power systems demand capabilities such as real-time monitoring, dynamic security analysis, stochastic power flow calculations, large-scale data analytics, and high-dimensional combinatorial and constrained optimization. Although sophisticated computations to process gigantic volume of data to produce useful information in a time critical manner is the paradigm of future grid operations, these enhanced functionalities impose significantly higher computational demands compared to traditional approaches used in conventional power systems. Advancements in quantum technologies holds promising solution for dealing with demanding computational complexity of power system related applications. In this article, we lay out clear motivations for seeking quantum solutions for solving computational burden challenges associated with power system applications. Next, we present the fundamental principles of quantum computing, introduce key quantum algorithms, and offer a comparison of the computational load between classical and quantum approaches for few important mathematical problems, indicating their relevance to various power system applications. Additionally, we provide an overview of quantum solutions for various power system related applications available in current literature and suggest future topics for research. We further highlight challenges with existing quantum solutions for exploiting full quantum capabilities. To this end, this article serves as a bridge for power engineers to the quantum domain by outlining fundamental principles of quantum computation, facilitating a smoother transition to the future of power system computations and also provides quantum experts with insights into new application areas for quantum computing within power systems.https://ieeexplore.ieee.org/document/10772098/Power systemquantum computationquantum technologiescomputational complexity |
| spellingShingle | Priyanka Arkalgud Ganeshamurthy Kumar Ghosh Corey O'Meara Giorgio Cortiana Jan Schiefelbein-Lach Antonello Monti Next Generation Power System Planning and Operation With Quantum Computation IEEE Access Power system quantum computation quantum technologies computational complexity |
| title | Next Generation Power System Planning and Operation With Quantum Computation |
| title_full | Next Generation Power System Planning and Operation With Quantum Computation |
| title_fullStr | Next Generation Power System Planning and Operation With Quantum Computation |
| title_full_unstemmed | Next Generation Power System Planning and Operation With Quantum Computation |
| title_short | Next Generation Power System Planning and Operation With Quantum Computation |
| title_sort | next generation power system planning and operation with quantum computation |
| topic | Power system quantum computation quantum technologies computational complexity |
| url | https://ieeexplore.ieee.org/document/10772098/ |
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