5 citations · 10 across the 9 of their papers we have counts for
9 papers
Reconfiguring flexibility in renewable power-to-ammonia systems using molten-salt thermal energy storage in the ammonia synthesis loop: A coordinated electro-hydrogen-thermal scheduling approach
Yiwei Qiu, Qingjie Sun, Yangjun Zeng +7
In renewable power-to-ammonia (ReP2A) systems, the intermittency of wind and solar generation propagates through electrolytic hydrogen production and induces thermal instability in…
A Convexified Eulerian Framework for Scalable Coordination of Massive DER Populations
Ge Chen, Yiwei Qiu, Shiyao Zhang +3
This paper proposes a scalable coordination framework with aggregator-side privacy protection for storage-like distributed energy resources (DERs). The framework adopts a two-layer…
Efficient constraint learning for data-driven active distribution network operation
Ge Chen, Hongcai Zhang, Yonghua Song
Scheduling flexible sources to promote the integration of renewable generation is one fundamental problem for operating active distribution networks (ADNs). However, existing works…
Optimal Control for Unmanned Systems with One-way Broadcast Communication
Chao Ge, Ge Chen
Unmanned systems (USs) including unmanned aerial vehicles, unmanned underwater vehicles, and unmanned ground vehicles have great application prospects in military and civil fields,…
Deep-quantile-regression-based surrogate model for joint chance-constrained optimal power flow with renewable generation
Ge Chen, Hongcai Zhang, Hongxun Hui +1
Joint chance-constrained optimal power flow (JCC-OPF) is a promising tool to manage uncertainties from distributed renewable generation. However, most existing works are based on p…
Chance-constrained DC Optimal Power Flow with Non-Gaussian Distributed Uncertainties
Ge Chen, Hongcai Zhang, Yonghua Song
Chance-constrained programming (CCP) is a promising approach to handle uncertainties in optimal power flow (OPF). However, conventional CCP usually assumes that uncertainties follo…
Chance-constrained regulation capacity offering for HVAC systems under non-Gaussian uncertainties with mixture-model-based convexification
Ge Chen, Hongcai Zhang, Hongxun Hui +1
Heating, ventilation, and air-conditioning (HVAC) systems are ideal demand-side flexible resources to provide regulation services. However, finding the best hourly regulation capac…
District Cooling System Control for Providing Operating Reserve based on Safe Deep Reinforcement Learning
Peipei Yu, Hongxun Hui, Hongcai Zhang +2
Heating, ventilation, and air conditioning (HVAC) systems are well proved to be capable to provide operating reserve for power systems. As a type of large-capacity and energy-effic…
Scheduling HVAC loads to promote renewable generation integration with a learning-based joint chance-constrained approach
Ge Chen, Hongcai Zhang, Hongxun Hui +1
The integration of distributed renewable generation (DRG) in distribution networks can be effectively promoted by scheduling flexible resources such as heating, ventilation, and ai…