activity
20162022
most citedPlanning Low-Carbon Campus Energy Hubs

77 citations · 443 across the 29 of their papers we have counts for

collaborators

30 papers

eess.SY2022★ 2 cited

Cyber-Physical Attack Leveraging Subsynchronous Resonance

Bosong Li, Baosen Zhang, Daniel S. Kirschen

This paper discusses how a cyber attack could take advantage of torsional resonances in the shaft of turbo-generators to inflict severe physical damage to a power system. If attack…

eess.SY2022★ 2 cited

Should Storage-Centric Tariffs be Extended to Commercial Flexible Demand?

Lane D. Smith, Daniel S. Kirschen

Further electrification of the economy is expected to sharpen ramp rates and increase peak loads. Flexibility from the demand side, which new technologies might facilitate, can hel…

eess.SY2022★ 39 cited

Bi-level Volt/VAR Optimization in Distribution Networks with Smart PV Inverters

Yao Long, Daniel S. Kirschen

Optimal Volt/VAR control (VVC) in distribution networks relies on an effective coordination between the conventional utility-owned mechanical devices and the smart residential phot…

eess.SY2021★ 38 cited

Adaptive Coalition Formation-Based Coordinated Voltage Regulation in Distribution Networks

Yao Long, Ryan T. Elliott, Daniel S. Kirschen

High penetrations of photovoltaic (PV) systems can cause severe voltage quality problems in distribution networks. This paper proposes a distributed control strategy based on the d…

cs.LG2021★ 45 cited

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…

eess.SY2021★ 5 cited

Impacts of Time-of-Use Rate Changes on the Electricity Bills of Commercial Consumers

Lane D. Smith, Daniel S. Kirschen

Changes in the profile of prices in wholesale electricity markets prompt utilities to redesign their tariffs and adjust their time-of-use periods to ensure a more adequate cost rec…

eess.SY2020★ 4 cited

Stabilizing Transient Disturbances With Utility-Scale Inverter-Based Resources

Ryan T. Elliott, Payman Arabshahi, Daniel S. Kirschen

This paper presents a trajectory tracking control strategy that modulates the active power injected by geographically distributed inverter-based resources to support transient stab…

eess.SY2020★ 7 cited

Sparse Oblique Decision Tree for Power System Security Rules Extraction and Embedding

Qingchun Hou, Ning Zhang, Daniel S. Kirschen +3

Increasing the penetration of variable generation has a substantial effect on the operational reliability of power systems. The higher level of uncertainty that stems from this var…

math.OC2019★ 45 cited

Profitable Emissions-Reducing Energy Storage

Daniel J. Olsen, Daniel S. Kirschen

While energy arbitrage from energy storage can lower power system operating costs, it can also increase greenhouse gas emissions. If power system operations are conducted with the…

eess.SY2019★ 18 cited

A Generalized PSS Architecture for Balancing Transient and Small-Signal Response

Ryan T. Elliott, Payman Arabshahi, Daniel S. Kirschen

For decades, power system stabilizers paired with high initial response automatic voltage regulators have served as an effective means of meeting sometimes conflicting system stabi…

math.OC2019★ 1 cited

Post-disaster Repair Scheduling in Partially Automated Electricity Distribution Networks

Yushi Tan, Arindam K. Das, Payman Arabshahi +1

Natural disasters require repairing all damaged components in electricity distribution networks. Optimal scheduling repair crews to minimize the aggregate duration of interruptions…

math.OC2019★ 50 cited

Sharing Energy Storage Between Transmission and Distribution

Ryan Elliott, Ricardo Fernandez-Blanco, Kelly Kozdras +4

This paper addresses the problem of how best to coordinate, or `stack,' energy storage services in systems that lack centralized markets. Specifically, its focus is on how to coord…

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…

eess.SY2018

Real-Time Prediction of the Duration of Distribution System Outages

Aaron Jaech, Baosen Zhang, Mari Ostendorf +1

This paper addresses the problem of predicting duration of unplanned power outages, using historical outage records to train a series of neural network predictors. The initial dura…

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…

math.OC2018

Controlled Islanding via Weak Submodularity

Zhipeng Liu, Andrew Clark, Linda Bushnell +2

Cascading failures typically occur following a large disturbance in power systems, such as tripping of a generating unit or a transmission line. Such failures can propagate and des…

math.OC2018★ 1 cited

Tractable and Robust Modeling of Building Flexibility Using Coarse Data

Jesus E. Contreras-Ocaña, Miguel A. Ortega-Vazquez, Daniel Kirschen +1

Controllable building loads have the potential to increase the flexibility of power systems. A key step in developing effective and attainable load control policies is modeling the…

math.OC2017★ 20 cited

Accurate Semidefinite Programming Models for Optimal Power Flow in Distribution Systems

Zeyu Wang, Daniel S. Kirschen, Baosen Zhang

In this paper, we develop semidefinite programming (SDP) models aimed at solving optimal power flow (OPF) problems in distribution systems. We propose two models: the symmetrical S…

math.OC2017★ 1 cited

Minimal Input Selection for Robust Control

Zhipeng Liu, Yao Long, Andrew Clark +4

This paper studies the problem of selecting a minimum-size set of input nodes to guarantee stability of a networked system in the presence of uncertainties and time delays. Current…

math.OC2017★ 3 cited

Distribution Systems Hardening against Natural Disasters

Yushi Tan, Arindam K. Das, Payman Arabshahi +1

Distribution systems are often crippled by catastrophic damage caused by a natural disaster. Well-designed hardening can significantly improve the performance of post-disaster rest…

math.OC2017★ 6 cited

Optimal Battery Participation in Frequency Regulation Markets

Bolun Xu, Yuanyuan Shi, Daniel S. Kirschen +1

Battery participants in performance-based frequency regulation markets must consider the cost of battery aging in their operating strategies to maximize market profits. In this pap…

math.OC2017★ 7 cited

Optimal Battery Control Under Cycle Aging Mechanisms in Pay for Performance Settings

Yuanyuan Shi, Bolun Xu, Yushi Tan +2

We study the optimal control of battery energy storage under a general "pay-for-performance" setup such as providing frequency regulation and renewable integration. In these settin…

math.OC2017

An Online Optimization Algorithm for Alleviating Contingencies in Transmission Networks

Nicolo Mazzi, Baosen Zhang, Daniel S. Kirschen

Power systems are increasingly operated in corrective rather than preventive security mode, which means that appropriate control actions must be taken immediately after a contingen…

math.OC2017★ 17 cited

Factoring the Cycle Aging Cost of Batteries Participating in Electricity Markets

Bolun Xu, Jinye Zhao, Tongxin Zheng +2

When participating in electricity markets, owners of battery energy storage systems must bid in such a way that their revenues will at least cover their true cost of operation. Sin…