40 citations · 43 across the 5 of their papers we have counts for
4 papers · 1 filter
Stochastic Model Predictive Control under AC Power-Flow Constraints Using Generative Learning
Jie Zhu, Yinliang Xu, Guan Wang
This paper proposes an end-to-end generative framework for efficiently solving multi-period and multi-scenario stochastic model predictive control (SMPC) problems under nonlinear A…
Real-Time Neural Distributed Energy Resources Dispatch with Feasibility Guarantees
Jie Zhu, Yinliang Xu, Hongbin Sun
The growing penetration of renewable energy necessitates high-frequency real-time scheduling. While neural network-based surrogates enable computationally efficient scheduling, str…
Distribution Locational Marginal Emission for Carbon Alleviation in Distribution Networks: Formulation, Calculation, and Implication
Linwei Sang, Yinliang Xu, Hongbin Sun +2
Regulating the proper carbon-aware intervention policy is one of the keys to emission alleviation in the distribution network, whose basis lies in effectively attributing the emiss…
Networked Multiagent Safe Reinforcement Learning for Low-carbon Demand Management in Distribution Network
Jichen Zhang, Linwei Sang, Yinliang Xu +1
This paper proposes a multiagent based bi-level operation framework for the low-carbon demand management in distribution networks considering the carbon emission allowance on the d…