7 citations · 17 across the 13 of their papers we have counts for
13 papers
Reforming Quantum Microgrid Formation
Chaofan Lin, Peng Zhang, Mikhail A. Bragin +1
This letter introduces a novel compact and lossless quantum microgrid formation (qMGF) approach to achieve efficient operational optimization of the power system and improvement of…
Optimizing Deep Decarbonization Pathways in California with Power System Planning Using Surrogate Level-based Lagrangian Relaxation
Osten Anderson, Nanpeng Yu, Mikhail Bragin
With California's ambitious goal to achieve decarbonization of the electrical grid by the year 2045, significant challenges arise in power system investment planning. Existing mode…
Novel Quality Measure and Efficient Resolution of Convex Hull Pricing for Unit Commitment
Mikhail A. Bragin, Farhan Hyder, Bing Yan +5
Electricity prices determined by economic dispatch that do not consider fixed costs may lead to significant uplift payments. However, when fixed costs are included, prices become n…
Surrogate Lagrangian Relaxation: A Path To Retrain-free Deep Neural Network Pruning
Shanglin Zhou, Mikhail A. Bragin, Lynn Pepin +3
Network pruning is a widely used technique to reduce computation cost and model size for deep neural networks. However, the typical three-stage pipeline significantly increases the…
Toward Efficient Transportation Electrification of Heavy-Duty Trucks: Joint Scheduling of Truck Routing and Charging
Mikhail A. Bragin, Zuzhao Ye, Nanpeng Yu
The timely transportation of goods to customers is an essential component of economic activities. However, heavy-duty diesel trucks used for goods delivery significantly contribute…
Survey on Lagrangian Relaxation for MILP: Importance, Challenges, Historical Review, Recent Advancements, and Opportunities
Mikhail A. Bragin
Operations in areas of importance to society are frequently modeled as Mixed-Integer Linear Programming (MILP) problems. While MILP problems suffer from combinatorial complexity, L…
An Optimization Method-Assisted Ensemble Deep Reinforcement Learning Algorithm to Solve Unit Commitment Problems
Jingtao Qin, Yuanqi Gao, Mikhail Bragin +1
Unit commitment (UC) is a fundamental problem in the day-ahead electricity market, and it is critical to solve UC problems efficiently. Mathematical optimization techniques like dy…
Toward Robust Manufacturing Scheduling: Stochastic Job-Shop Scheduling
Mikhail A. Bragin, Matthew E. Wilhelm, Nanpeng Yu +1
Manufacturing plays a significant role in economic development, production, exports, and job creation, which ultimately contribute to improving the quality of life. The presence of…
Surrogate "Level-Based" Lagrangian Relaxation for Mixed-Integer Linear Programming
Mikhail A. Bragin, Emily L. Tucker
Mixed-Integer Linear Programming (MILP) plays an important role across a range of scientific disciplines and within areas of strategic importance to society. The MILP problems, how…
Distributed and Asynchronous Operational Optimization of Networked Microgrids
Nima Nikmehr, Mikhail A. Bragin, Peter B. Luh +1
Smart programmable microgrids (SPM) is an emerging technology for making microgrids more software-defined and less hardware-independent such that converting distributed energy reso…
TSO-DSO Operational Planning Coordination through "-Proximal" Surrogate Lagrangian Relaxation
Mikhail Bragin, Yury Dvorkin
The proliferation of distributed energy resources (DERs), located at the Distribution System Operator (DSO) level, bring new opportunities as well as new challenges to the operatio…
Enabling Retrain-free Deep Neural Network Pruning using Surrogate Lagrangian Relaxation
Deniz Gurevin, Shanglin Zhou, Lynn Pepin +4
Network pruning is a widely used technique to reduce computation cost and model size for deep neural networks. However, the typical three-stage pipeline, i.e., training, pruning an…
Toward Coordinated Transmission and Distribution Operations
Mikhail Bragin, Yury Dvorkin
Proliferation of smart grid technologies has enhanced observability and controllability of distribution systems. If coordinated with the transmission system, resources of both syst…