Reforming Quantum Microgrid Formation

This letter introduces a novel compact and lossless quantum microgrid formation (qMGF) approach to achieve efficient operational optimization of the power system and improvement of resilience. This is achieved through lossless reformulation to ensure that the results are equivalent to those produced...

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Bibliographic Details
Published in:IEEE transactions on power systems Vol. 40; no. 2; pp. 1977 - 1980
Main Authors: Lin, Chaofan, Zhang, Peng, Bragin, Mikhail A., Shamash, Yacov A.
Format: Journal Article
Language:English
Published: New York IEEE 01.03.2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Accuracy
Annealing
Computers
Distributed generation
Graph theory
Microgrid formation
Microgrids
Optimization
quadratic unconstrained binary optimization
Quantum annealing
Quantum computers
Qubit
qubits
Qubits (quantum computing)
Reactive power
Reforming
resilience
Stationary state
Topology
ISSN:0885-8950, 1558-0679
Online Access:Get full text
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Summary:This letter introduces a novel compact and lossless quantum microgrid formation (qMGF) approach to achieve efficient operational optimization of the power system and improvement of resilience. This is achieved through lossless reformulation to ensure that the results are equivalent to those produced by the classical MGF by exploiting graph-theory-empowered quadratic unconstrained binary optimization (QUBO) that avoids the need for redundant encoding of continuous variables. Additionally, the qMGF approach utilizes a compact formulation that requires significantly fewer qubits compared to other quantum methods thereby enabling a high-accuracy and low-complexity deployment of qMGF on near-term quantum computers. Case studies on real quantum processing units (QPUs) empirically demonstrated that qMGF can achieve the same high accuracy as classic results with a significantly reduced number of qubits.
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ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2025.3527817