156 citations · 245 across the 19 of their papers we have counts for
10 papers · 1 filter
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…
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…
Topology-free optimal power dispatch for distribution network considering security constraints and flexible building thermal inertia
Ge Chen, Hongcai Zhang, Ningyi Dai +1
With the increasing integration of distributed PV generation, the distribution network requires more and more flexibility to achieve the security-constrained optimal power dispatch…
Solving Overstay in PEV Charging Station Planning via Chance Constrained Optimization
Teng Zeng, Hongcai Zhang, Scott Moura
Currently, the utilization rate of public plug-in electric vehicle (PEV) charging stations is only 15%. During the other 85% of the time, the chargers are either idle or occupied b…
Joint Fleet Sizing and Charging System Planning for Autonomous Electric Vehicles
Hongcai Zhang, Colin J. R. Sheppard, Timothy E. Lipman +1
This paper studies the joint fleet sizing and charging system planning problem for a company operating a fleet of autonomous electric vehicles (AEVs) for passenger and goods transp…
Data-driven Chance-constrained Regulation Capacity Offering for Distributed Energy Resources
Hongcai Zhang, Zechun Hu, Eric Munsing +2
This paper studies the behavior of a strategic aggregator offering regulation capacity on behalf of a group of distributed energy resources (DERs, e.g. plug-in electric vehicles) i…
Joint Planning of PEV Fast-Charging Network and Distributed PV Generation Using the Accelerated Generalized Benders Decomposition
Hongcai Zhang, Scott J. Moura, Zechun Hu +2
Integration of plug-in electric vehicles (PEVs) with distributed renewable resources will decrease PEVs' well-to-wheels greenhouse gas emissions, promote renewable power adoption a…
A Second Order Cone Programming Model for Planning PEV Fast-Charging Stations
Hongcai Zhang, Scott Moura, Zechun Hu +2
This paper studies siting and sizing of plug-in electric vehicle (PEV) fast-charging stations on coupled transportation and power networks. We develop a closed-form service rate mo…