3 papers
cs.LG2025
Neural Network Optimal Power Flow via Energy Gradient Flow and Unified Dynamics
Xuezhi Liu
Optimal Power Flow (OPF) is a core optimization problem in power system operation and planning, aiming to minimize generation costs while satisfying physical constraints such as po…
eess.SY2025
Physics-Constrained Neural Dynamics: A Unified Manifold Framework for Large-Scale Power Flow Computation
Xuezhi Liu
Power flow analysis is a fundamental tool for power system analysis, planning, and operational control. Traditional Newton-Raphson methods suffer from limitations such as initial v…
math.OC2019
Collaborative Autonomous Optimization of Interconnected Multi-Energy Systems with Two-Stage Transactive Control Framework
Yizhi Cheng, Peichao Zhang, Xuezhi Liu
Motivated by the benefits of multi-energy integration, this paper establishes a bi-level two-stage framework based on transactive control, in order to achieve optimal energy provis…