5 papers
Quantum Restricted Boltzmann Machine for Fast Unit Commitment
Yuji Cao, Yue Chen
Network-constrained unit commitment (UC) problems must be solved repeatedly to ensure power system reliability, yet face computational challenges from the growing system scale and…
Quantum-Enabled Probabilistic Optimal Power Flow with Built-in Differential Privacy
Yuji Cao, Tongxin Li, Yue Chen
Quantum computing has been regarded as a promising approach to accelerate power system optimization. However, challenges such as limited qubits and inherent noise hinder their wide…
Quantum Learning and Estimation for Coordinated Operation between Distribution Networks and Energy Communities
Yingrui Zhuang, Lin Cheng, Yuji Cao +4
Price signals from distribution networks (DNs) guide energy communities (ECs) in adjusting their energy usage, enabling effective coordination for reliable power system operation.…
A Differentially Private Quantum Neural Network for Probabilistic Optimal Power Flow
Yuji Cao, Yue Chen, Yan Xu
The stochastic nature of renewable energy and load demand requires efficient and accurate solutions for probabilistic optimal power flow (OPF). Quantum neural networks (QNNs), whic…
A Differentially Private Energy Trading Mechanism Approaching Social Optimum
Yuji Cao, Yue Chen
This paper proposes a differentially private energy trading mechanism for prosumers in peer-to-peer (P2P) markets, offering provable privacy guarantees while approaching the Nash e…