5 citations · 15 across the 5 of their papers we have counts for
5 papers
Safe Reinforcement Learning for Power System Control: A Review
Peipei Yu, Zhenyi Wang, Hongcai Zhang +1
The large-scale integration of intermittent renewable energy resources introduces increased uncertainty and volatility to the supply side of power systems, thereby complicating sys…
Optimal Planning for Electrical Collector System of Offshore Wind Farm with Double-sided Ring Topology
Xinwei Shen, Qiuwei Wu, Hongcai Zhang +1
We propose a planning method for offshore wind farm electrical collector system (OWF-ECS) with double-sided ring topology meeting the "N-1" criterion on cable faults, in which the…
Optimal Power Flow Based on Physical-Model-Integrated Neural Network with Worth-Learning Data Generation
Zuntao Hu, Hongcai Zhang
Fast and reliable solvers for optimal power flow (OPF) problems are attracting surging research interest. As surrogates of physical-model-based OPF solvers, neural network (NN) sol…
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…
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…