Quantum Reinforcement Learning-Based Two-Stage Unit Commitment Framework for Enhanced Power Systems Robustness
Fuente:
arXiv
Saved in:
| Main Authors: | Wei, Xiang, Zhu, Ziqing, Zhu, Linghua, Hu, Ze, Zhang, Xian, Wang, Guibin, Bu, Siqi, Chan, Ka Wing |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Advancing Hybrid Quantum Neural Network for Alternative Current Optimal Power Flow
by: Hu, Ze, et al.
Published: (2024)
by: Hu, Ze, et al.
Published: (2024)
Problem-Structure-Informed Quantum Approximate Optimization Algorithm for Large-Scale Unit Commitment with Limited Qubits
by: Zhou, Jingxian, et al.
Published: (2025)
by: Zhou, Jingxian, et al.
Published: (2025)
Techno-Economic Modeling and Safe Operational Optimization of Multi-Network Constrained Integrated Community Energy Systems
by: Hu, Ze, et al.
Published: (2024)
by: Hu, Ze, et al.
Published: (2024)
Bayesian Quantum Neural Network for Renewable-Rich Power Flow with Training Efficiency and Generalization Capability Improvements
by: Zhu, Ziqing, et al.
Published: (2024)
by: Zhu, Ziqing, et al.
Published: (2024)
Evaluating Uncertainties in Electricity Markets via Machine Learning and Quantum Computing
by: Zhu, Shuyang, et al.
Published: (2024)
by: Zhu, Shuyang, et al.
Published: (2024)
Techno-Economic Feasibility Analysis of Quantum Key Distribution for Power-System Communications
by: Zhu, Ziqing
Published: (2025)
by: Zhu, Ziqing
Published: (2025)
Bilevel Model for Electricity Market Mechanism Optimisation via Quantum Computing Enhanced Reinforcement Learning
by: Zhu, Shuyang, et al.
Published: (2024)
by: Zhu, Shuyang, et al.
Published: (2024)
Quantum-Key-Distribution Authenticated Aggregation and Settlement for Virtual Power Plants
by: Zhu, Ziqing
Published: (2025)
by: Zhu, Ziqing
Published: (2025)
Dynamic-Key-Aware Co-Simulation Framework for Next Generation of SCADA Systems Encrypted by Quantum-Key-Distribution Techniques
by: Zhu, Ziqing
Published: (2025)
by: Zhu, Ziqing
Published: (2025)
Scenario Reduction for the Two-Stage Stochastic Unit Commitment Problem
by: Werner, Yannick, et al.
Published: (2025)
by: Werner, Yannick, et al.
Published: (2025)
Two-Stage Adaptive Robust Optimization Model for Joint Unit Maintenance and Unit Commitment Considering Source-Load Uncertainty
by: Lu, Hongrui, et al.
Published: (2024)
by: Lu, Hongrui, et al.
Published: (2024)
Quantum Key Distribution for Virtual Power Plant Communication: A Lightweight Key-Aware Scheduler with Provable Stability
by: Zhu, Ziqing
Published: (2025)
by: Zhu, Ziqing
Published: (2025)
Q-EnergyDEX: A Zero-Trust Distributed Energy Trading Framework Driven by Quantum Key Distribution and Blockchain
by: Zhu, Ziqing
Published: (2025)
by: Zhu, Ziqing
Published: (2025)
Neural Two-Stage Stochastic Optimization for Solving Unit Commitment Problem
by: Shao, Zhentong, et al.
Published: (2025)
by: Shao, Zhentong, et al.
Published: (2025)
A Neural Column-and-Constraint Generation Method for Solving Two-Stage Stochastic Unit Commitment
by: Shao, Zhentong, et al.
Published: (2025)
by: Shao, Zhentong, et al.
Published: (2025)
A Multi-Stage Warm-Start Deep Learning Framework for Unit Commitment
by: Za'ter, Muhy Eddin, et al.
Published: (2026)
by: Za'ter, Muhy Eddin, et al.
Published: (2026)
Inertia-aware Unit Commitment and Remuneration Methods for Decarbonized Power System
by: Kim, HyunJoong, et al.
Published: (2024)
by: Kim, HyunJoong, et al.
Published: (2024)
Conservative Bias Linear Power Flow Approximations: Application to Unit Commitment
by: Buason, Paprapee, et al.
Published: (2024)
by: Buason, Paprapee, et al.
Published: (2024)
Fairness in Robust Unit Commitment Problem Considering Suppression of Renewable Energy
by: Toyoshima, Ichiro, et al.
Published: (2026)
by: Toyoshima, Ichiro, et al.
Published: (2026)
A Comparative Study on Frequency-Constrained Unit Commitment Approaches in Island Power Systems
by: Sarvarizadeh, Miad, et al.
Published: (2025)
by: Sarvarizadeh, Miad, et al.
Published: (2025)
Physics-Informed Unit Commitment Framework for Nuclear Reactors
by: Choudhury, Shiny, et al.
Published: (2025)
by: Choudhury, Shiny, et al.
Published: (2025)
Learning Constraint Surrogate Model for Two-stage Stochastic Unit Commitment
by: Javadi, Amir Bahador, et al.
Published: (2025)
by: Javadi, Amir Bahador, et al.
Published: (2025)
Inclusion of Frequency Nadir constraint in the Unit Commitment Problem of Small Power Systems Using Machine Learning
by: Rajabdorri, Mohammad, et al.
Published: (2022)
by: Rajabdorri, Mohammad, et al.
Published: (2022)
D2-UC: A Distributed-Distributed Quantum-Classical Framework for Unit Commitment
by: Hasanzadeh, Milad, et al.
Published: (2025)
by: Hasanzadeh, Milad, et al.
Published: (2025)
A Survey on Applications of Quantum Computing for Unit Commitment
by: Hasanzadeh, Milad, et al.
Published: (2026)
by: Hasanzadeh, Milad, et al.
Published: (2026)
Value-Oriented Forecast Combinations for Unit Commitment
by: Ghazanfariharandi, Mehrnoush, et al.
Published: (2025)
by: Ghazanfariharandi, Mehrnoush, et al.
Published: (2025)
An MISOCP-Based Decomposition Approach for the Unit Commitment Problem with AC Power Flows
by: Tuncer, Deniz, et al.
Published: (2022)
by: Tuncer, Deniz, et al.
Published: (2022)
A Corrective Frequency-Constrained Unit Commitment with Data-driven Estimation of Optimal UFLS in Island Power Systems
by: Sarvarizadeh, Miad, et al.
Published: (2025)
by: Sarvarizadeh, Miad, et al.
Published: (2025)
Data-Driven Continuous-Time Framework for Frequency-Constrained Unit Commitment
by: Rajabdorri, Mohammad, et al.
Published: (2023)
by: Rajabdorri, Mohammad, et al.
Published: (2023)
Predict-and-Optimize Robust Unit Commitment with Statistical Guarantees via Weight Combination
by: Xie, Rui, et al.
Published: (2024)
by: Xie, Rui, et al.
Published: (2024)
Deep Reinforcement Learning for Power Grid Multi-Stage Cascading Failure Mitigation
by: Meng, Bo, et al.
Published: (2025)
by: Meng, Bo, et al.
Published: (2025)
Efficient Unit Commitment Constraint Screening under Uncertainty
by: He, Xuan, et al.
Published: (2024)
by: He, Xuan, et al.
Published: (2024)
Qubit-Efficient Quantum Annealing for Stochastic Unit Commitment
by: Hong, Wei, et al.
Published: (2025)
by: Hong, Wei, et al.
Published: (2025)
GPU-Accelerated Optimization Solver for Unit Commitment in Large-Scale Power Grids
by: Sharadga, Hussein, et al.
Published: (2025)
by: Sharadga, Hussein, et al.
Published: (2025)
An Open Source Stochastic Unit Commitment Tool using the PyPSA-Framework
by: Welfonder, Tom, et al.
Published: (2024)
by: Welfonder, Tom, et al.
Published: (2024)
Synthesis of Temporally-Robust Policies for Signal Temporal Logic Tasks using Reinforcement Learning
by: Wang, Siqi, et al.
Published: (2023)
by: Wang, Siqi, et al.
Published: (2023)
Unit Commitment with Cost-Oriented Temporal Resolution
by: Tao, Junyi, et al.
Published: (2025)
by: Tao, Junyi, et al.
Published: (2025)
Relax-and-round strategies for solving the Unit Commitment problem with AC Power Flow constraints
by: Gómez, D., et al.
Published: (2025)
by: Gómez, D., et al.
Published: (2025)
A New Hybrid Quantum-Classical Algorithm for Solving the Unit Commitment Problem
by: Aboumrad, Willie, et al.
Published: (2025)
by: Aboumrad, Willie, et al.
Published: (2025)
A Quantum Computing Approach for the Unit Commitment Problem
by: Halffmann, Pascal, et al.
Published: (2022)
by: Halffmann, Pascal, et al.
Published: (2022)
Similar Items
-
Advancing Hybrid Quantum Neural Network for Alternative Current Optimal Power Flow
by: Hu, Ze, et al.
Published: (2024) -
Problem-Structure-Informed Quantum Approximate Optimization Algorithm for Large-Scale Unit Commitment with Limited Qubits
by: Zhou, Jingxian, et al.
Published: (2025) -
Techno-Economic Modeling and Safe Operational Optimization of Multi-Network Constrained Integrated Community Energy Systems
by: Hu, Ze, et al.
Published: (2024) -
Bayesian Quantum Neural Network for Renewable-Rich Power Flow with Training Efficiency and Generalization Capability Improvements
by: Zhu, Ziqing, et al.
Published: (2024) -
Evaluating Uncertainties in Electricity Markets via Machine Learning and Quantum Computing
by: Zhu, Shuyang, et al.
Published: (2024)