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
7 papers · 2 filters
Network-Cognizant Time-Coupled Aggregate Flexibility of Distribution Systems Under Uncertainties
Bai Cui, Ahmed Zamzam, Andrey Bernstein
Increasing integration of distributed energy resources (DERs) within distribution feeders provides unprecedented flexibility at the distribution-transmission interconnection. To ex…
Economic Dispatch With Distributed Energy Resources: Co-Optimization of Transmission and Distribution Systems
Xinyang Zhou, Chin-Yao Chang, Andrey Bernstein +2
The increasing penetration of distributed energy resources (DERs) in the distribution networks has turned the conventionally passive load buses into active buses that can provide g…
Accelerating Optimization and Reinforcement Learning with Quasi-Stochastic Approximation
Shuhang Chen, Adithya Devraj, Andrey Bernstein +1
The ODE method has been a workhorse for algorithm design and analysis since the introduction of the stochastic approximation. It is now understood that convergence theory amounts t…
Learning to Optimize Power Distribution Grids using Sensitivity-Informed Deep Neural Networks
Manish K. Singh, Sarthak Gupta, Vassilis Kekatos +2
Deep learning for distribution grid optimization can be advocated as a promising solution for near-optimal yet timely inverter dispatch. The principle is to train a deep neural net…
Exactness of OPF Relaxation on Three-phase Radial Networks with Delta Connections
Fengyu Zhou, Ahmed S. Zamzam, Steven H. Low +1
Simulations have shown that while semi-definite relaxations of AC optimal power flow (AC-OPF) on three-phase radial networks with only wye connections tend to be exact, the presenc…
Online Data-Enabled Predictive Control
Stefanos Baros, Chin-Yao Chang, Gabriel E. Colon-Reyes +1
We develop an online data-enabled predictive (ODeePC) control method for optimal control of unknown systems, building on the recently proposed DeePC [1]. Our proposed ODeePC method…
Multi-Level Optimal Power Flow Solver in Large Distribution Networks
Xinyang Zhou, Yue Chen, Zhiyuan Liu +2
Solving optimal power flow (OPF) problems for large distribution networks incurs high computational complexity. We consider a large multi-phase distribution network of tree topolog…