46 citations · 92 across the 8 of their papers we have counts for
9 papers
Emergency-Aware and Frequency-Constrained HVDC Planning for A Multi-Area Asynchronously Interconnected Grid
Yiliu He, Haiwang Zhong, Grant Ruan +2
High-voltage direct current (HVDC) technology has played a crucial role for long-distance transmission of renewable power generation. However, the integration of large-capacity HVD…
Performance-Aware Control of Modular Batteries For Fast Frequency Response
Yutong He, Guangchun Ruan, Haiwang Zhong
Modular batteries can be aggregated to deliver frequency regulation services for power grids. Although utilizing the idle capacity of battery modules is financially attractive, it…
Temperature-Controlled Smart Charging for Electric Vehicles in Cold Climates
Grant Ruan, Munther A. Dahleh
The battery performance and lifespan of electric vehicles (EVs) degrade significantly in cold climates, requiring a considerable amount of energy to heat up the EV batteries. This…
Multi-Objective Sizing Optimization Method of Microgrid Considering Cost and Carbon Emissions
Xiang Zhu, Guangchun Ruan, Hua Geng +3
Microgrid serves as a promising solution to integrate and manage distributed renewable energy resources. In this paper, we establish a stochastic multi-objective sizing optimizatio…
Dynamic Virtual Power Plants with Robust Frequency Regulation Capability
Xiang Zhu, Hua Geng, Hongyang Qing +3
The rapid integration of inverter-based resources (IBRs) into power systems has identified frequency security challenges due to reduced inertia and increased load volatility. This…
Network-Constrained Unit Commitment with Flexible Temporal Resolution
Zekuan Yu, Haiwang Zhong, Guangchun Ruan +1
Modern network-constrained unit commitment (NCUC) bears a heavy computational burden due to the ever-growing model scale. This situation becomes more challenging when detailed oper…
Improving Sample Efficiency of Deep Learning Models in Electricity Market
Guangchun Ruan, Jianxiao Wang, Haiwang Zhong +2
The superior performance of deep learning relies heavily on a large collection of sample data, but the data insufficiency problem turns out to be relatively common in global electr…
Open-Access Data and Toolbox for Tracking COVID-19 Impact on Power Systems
Guangchun Ruan, Zekuan Yu, Shutong Pu +5
Intervention policies against COVID-19 have caused large-scale disruptions globally, and led to a series of pattern changes in the power system operation. Analyzing these pandemic-…
Estimating Demand Flexibility Using Siamese LSTM Neural Networks
Guangchun Ruan, Daniel S. Kirschen, Haiwang Zhong +2
There is an opportunity in modern power systems to explore the demand flexibility by incentivizing consumers with dynamic prices. In this paper, we quantify demand flexibility usin…