1.8k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of Colorado BoulderUS112 papers
- Colorado School of MinesUS59 papers
- King's College LondonGB30 papers
- Lawrence Berkeley National LaboratoryUS28 papers
- Fudan UniversityCN17 papers
- Radboud University NijmegenNL15 papers
- Stanford UniversityUS15 papers
- University of MinnesotaUS15 papers
- University of California, BerkeleyUS14 papers
- Colorado State UniversityUS13 papers
- North Carolina State UniversityUS12 papers
- Princeton UniversityUS12 papers
53 papers · 1 filter
Generation Expansion Planning with Upstream Supply Chain Constraints on Materials, Manufacturing, and Deployment
Boyu Yao, Andrey Bernstein, Yury Dvorkin
Rising electricity demand underscores the need for secure and reliable generation expansion planning that accounts for upstream supply chain constraints. Traditional models often o…
Lessons learned from field demonstrations of model predictive control and reinforcement learning for residential and commercial HVAC: A review
Arash J. Khabbazi, Elias N. Pergantis, Levi D. Reyes Premer +5
A large body of simulation research suggests that model predictive control (MPC) and reinforcement learning (RL) for heating, ventilation, and air-conditioning (HVAC) in residentia…
Market Implications of Alternative Operating Reserve Modeling in Wholesale Electricity Markets
Hamid Davoudi, Fengyu Wang, Yonghong Chen +3
Pricing and settlement mechanisms are crucial for efficient re-source allocation, investment incentives, market competition, and regulatory oversight. In the United States, Regiona…
A Fast Dynamic Internal Predictive Power Scheduling Approach for Power Management in Microgrids
Neethu Maya, Bala Kameshwar Poolla, Seshadhri Srinivasan +2
This paper presents a Dynamic Internal Predictive Power Scheduling (DIPPS) approach for optimizing power management in microgrids, particularly focusingon external power exchanges…
Unsupervised Learning for Equitable DER Control
Zhenyi Yuan, Guido Cavraro, Ahmed S. Zamzam +1
In the context of managing distributed energy resources (DERs) within distribution networks (DNs), this work focuses on the task of developing local controllers. We propose an unsu…
Open-Loop Control Co-Design of Semisubmersible Floating Offshore Wind Turbines using Linear Parameter-Varying Models
Athul Krishna Sundarrajan, Yong Hoon Lee, James T Allison +2
This paper discusses a framework to design elements of the plant and control systems for floating offshore wind turbines in an integrated manner using linear parameter-varying mode…
Operating-Envelopes-Aware Decentralized Welfare Maximization for Energy Communities
Ahmed S. Alahmed, Guido Cavraro, Andrey Bernstein +1
We propose an operating-envelope-aware, prosumer-centric, and efficient energy community that aggregates individual and shared community distributed energy resources and transacts…
A Hybrid Optimization and Deep Learning Algorithm for Cyber-resilient DER Control
Mohammad Panahazari, Matthew Koscak, Jianhua Zhang +3
With the proliferation of distributed energy resources (DERs) in the distribution grid, it is a challenge to effectively control a large number of DERs resilient to the communicati…
Constraints on OPF Surrogates for Learning Stable Local Volt/Var Controllers
Zhenyi Yuan, Guido Cavraro, Jorge Cortés
We consider the problem of learning local Volt/Var controllers in distribution grids (DGs). Our approach starts from learning separable surrogates that take both local voltages and…
Managing Wildfire Risk and Promoting Equity through Optimal Configuration of Networked Microgrids
Sofia Taylor, Gabriela Setyawan, Bai Cui +2
As climate change increases the risk of large-scale wildfires, wildfire ignitions from electric power lines are a growing concern. To mitigate the wildfire ignition risk, many elec…
Revisiting Power Systems Time-domain Simulation Methods and Models
Jose Daniel Lara, Rodrigo Henriquez-Auba, Deepak Ramasubramanian +3
The changing nature of power systems dynamics is challenging present practices related to modeling and study of system-level dynamic behavior. While developing new techniques and m…
Parameterized Linear Power Flow for High Fidelity Voltage Solutions in Distribution Systems
Marija Marković, Bri-Mathias Hodge
This paper introduces a new model for highly accurate distribution voltage solutions, coined as a parameterized linear power flow model. The proffered model is grounded on a physic…
Learning Provably Stable Local Volt/Var Controllers for Efficient Network Operation
Zhenyi Yuan, Guido Cavraro, Manish K. Singh +1
This paper develops a data-driven framework to synthesize local Volt/Var control strategies for distributed energy resources (DERs) in power distribution networks (DNs). Aiming to…
Dynamic State Estimation for Load Bus Protection on Inverter-Interfaced Microgrids
Arthur K. Barnes, Adam Mate, Jean Marie V. Bikorimana +1
Inverter-interfaced microgrids results in challenges when designing protection systems. Traditional time-overcurrent, admittance, and differential protection methods are unsuitable…
DLMP of Competitive Markets in Active Distribution Networks: Models, Solutions, Applications, and Visions
Xiaofei Wang, Fangxing Li, Linquan Bai +1
Traditionally, the electric distribution system operates with uniform energy prices across all system nodes. However, as the adoption of distributed energy resources (DERs) propels…
A mode-in-state contribution factor based on Koopman operator and its application to power system analysis
Kenji Takamichi, Yoshihiko Susuki, Marcos Netto +1
This paper proposes a mode-in-state contribution factor for a class of nonlinear dynamical systems by utilizing spectral properties of the Koopman operator and sensitivity analysis…
Active power control of wind farms: an instantaneous approach on waked conditions
Jean Gonzalez Silva, Bart Matthijs Doekemeijer, Riccardo Ferrari +1
This paper presents a closed-loop controller for wind farms to provide active power control services using a high-fidelity computational fluid dynamics based wind plant simulator.…
Curriculum-based Reinforcement Learning for Distribution System Critical Load Restoration
Xiangyu Zhang, Abinet Tesfaye Eseye, Bernard Knueven +3
This paper focuses on the critical load restoration problem in distribution systems following major outages. To provide fast online response and optimal sequential decision-making…
A Comparison of Model-Free and Model Predictive Control for Price Responsive Water Heaters
David J. Biagioni, Xiangyu Zhang, Peter Graf +2
We present a careful comparison of two model-free control algorithms, Evolution Strategies (ES) and Proximal Policy Optimization (PPO), with receding horizon model predictive contr…
OPF-Learn: An Open-Source Framework for Creating Representative AC Optimal Power Flow Datasets
Trager Joswig-Jones, Kyri Baker, Ahmed S. Zamzam
Increasing levels of renewable generation motivate a growing interest in data-driven approaches for AC optimal power flow (AC OPF) to manage uncertainty; however, a lack of discipl…
A Data-driven Probabilistic-based Flexibility Region Estimation Method for Aggregated Distributed Energy Resources
Mingzhi Zhang, Xiangqi Zhu, Ning Lu
This paper presents a data-driven, distributionally robust chance-constrained optimization method for estimating the real and reactive power controllability of aggregated distribut…
Agent-Supervisor Coordination for Decentralized Event-Triggered Optimization
Priyank Srivastava, Guido Cavraro, Jorge Cortes
This paper proposes decentralized resource-aware coordination schemes for solving network optimization problems defined by objective functions which combine locally evaluable costs…
Microgrid Resilience: A Holistic and Context-Aware Resilience Metric
Sakshi Mishra, Ted Kwasnik, Kate Anderson
Microgrids present an effective solution for the coordinated deployment of various distributed energy resources and furthermore provide myriad additional benefits such as resilienc…
Transit-Gym: A Simulation and Evaluation Engine for Analysis of Bus Transit Systems
Ruixiao Sun, Rongze Gui, Himanshu Neema +6
Public-transit systems face a number of operational challenges: (a) changing ridership patterns requiring optimization of fixed line services, (b) optimizing vehicle-to-trip assign…