activity
20172026
most citedProbabilistic duck curve in high PV penetration power system: Concept, modeling, and empirical analysis in China

250 citations · 378 across the 12 of their papers we have counts for

collaborators

12 papers

eess.SY2026

From Tokens to Energy Flexibility: Quantization-Enabled Demand Response for Data Centers with LLM Inference Workloads

Bojun Du, Xiaoyi Fan, Ershun Du +5

The rapid growth of large language model (LLM) inference is creating significant data-center loads that face increasing energy-management challenges under tightening grid condition…

eess.SY2021★ 9 cited

Frequency-Constrained Resilient Scheduling of Microgrid: A Distributionally Robust Approach

Zhongda Chu, Ning Zhang, Fei Teng

In order to prevent the potential frequency instability due to the high Power Electronics (PE) penetration under an unintentional islanding event, this paper presents a novel micro…

cs.IT2021★ 1 cited

Topology and Admittance Estimation: Precision Limits and Algorithms

Yuxiao Liu, Ning Zhang, Qingchun Hou +2

Distribution grid topology and admittance information are essential for system planning, operation, and protection. In many distribution grids, missing or inaccurate topology and a…

eess.SP2020★ 15 cited

Guiding Cascading Failure Search with Interpretable Graph Convolutional Network

Yuxiao Liu, Ning Zhang, Dan Wu +3

Power system cascading failures become more time variant and complex because of the increasing network interconnection and higher renewable energy penetration. High computational c…

eess.SY2019★ 10 cited

A Linear LMP Model for Active and Reactive Power with Power Loss

Yanghao Yu, Qingchun Hou, Yi Ge +2

Pricing the reactive power is more necessary than ever before because of the increasing challenge of renewable energy integration on reactive power balance and voltage control. How…

cs.LG2019

Bounding Regression Errors in Data-driven Power Grid Steady-state Models

Yuxiao Liu, Bolun Xu, Audun Botterud +2

Data-driven models analyze power grids under incomplete physical information, and their accuracy has been mostly validated empirically using certain training and testing datasets.…

eess.SP2019

Embedding Lithium-ion Battery Scrapping Criterion and Degradation Model in Optimal Operation of Peak-shaving Energy Storage

Qingchun Hou, Yanghao Yu, Ershun Du +5

Lithium-ion battery systems have been used in practical power systems for peak-shaving, demand response, and frequency regulation. However, a lithium-ion battery is degrading while…

eess.SY2019★ 250 cited

Probabilistic duck curve in high PV penetration power system: Concept, modeling, and empirical analysis in China

Qingchun Hou, Ning Zhang, Ershun Du +3

The high penetration of photovoltaic (PV) is reshaping the electricity net-load curve and has a significant impact on power system operation and planning. The concept of duck curve…

math.OC2019★ 4 cited

Matrix Modeling of Energy Hub with Variable Energy Efficiencies

Wujing Huang, Ning Zhang, Yi Wang +3

The modeling of multi-energy systems (MES) is the basic task of analyzing energy systems integration. The variable energy efficiencies of the energy conversion and storage componen…

math.OC2018★ 77 cited

Planning Low-Carbon Campus Energy Hubs

Daniel J. Olsen, Ning Zhang, Chongqing Kang +2

Multi-energy systems can provide a constant level of service to end-use energy demands, while deriving delivered energy from a variety of primary/secondary energy sources. This fue…

stat.AP2018★ 2 cited

Combining Probabilistic Load Forecasts

Yi Wang, Ning Zhang, Yushi Tan +3

Probabilistic load forecasts provide comprehensive information about future load uncertainties. In recent years, many methodologies and techniques have been proposed for probabilis…

eess.SY2017★ 10 cited

Data-Driven Power Flow Linearization: A Regression Approach

Yuxiao Liu, Ning Zhang, Yi Wang +2

The linearization of a power flow (PF) model is an important approach for simplifying and accelerating the calculation of a power system's control, operation, and optimization. Tra…