Yard crane and AGV scheduling in automated container terminal: A multi-robot task allocation framework
The efficiency of automated container terminals primarily depends on the synchronization of
automated-guided vehicles (AGVs) and automated cranes. Accordingly, we study the …
automated-guided vehicles (AGVs) and automated cranes. Accordingly, we study the …
Stochastic cooperative bidding strategy for multiple microgrids with peer-to-peer energy trading
It is a significant and challenging problem to coordinate multiple microgrids (MMGs)
belonging to different entities and achieve their excellent energy-sharing performance to …
belonging to different entities and achieve their excellent energy-sharing performance to …
Security-constrained unit commitment for electricity market: Modeling, solution methods, and future challenges
This paper summarizes the technical activities of the IEEE Task Force on Solving Large
Scale Optimization Problems in Electricity Market and Power System Applications. This Task …
Scale Optimization Problems in Electricity Market and Power System Applications. This Task …
[HTML][HTML] Convex Hull Pricing for Unit Commitment: Survey, Insights, and Discussions
Energy prices are usually determined by the marginal costs obtained by solving economic
dispatch problems without considering commitment costs. Hence, generating units are …
dispatch problems without considering commitment costs. Hence, generating units are …
Smart management of integrated energy systems through co-optimization with long and short horizons
C Saletti, M Morini, A Gambarotta - Energy, 2022 - Elsevier
The integration of all sectors of energy production, distribution and consumption in multi-
source energy networks has lately gained attention as an attractive strategy to deal with the …
source energy networks has lately gained attention as an attractive strategy to deal with the …
A systematic formulation tightening approach for unit commitment problems
Unit Commitment is usually formulated as a Mixed Binary Linear Programming (MBLP)
problem. When considering a large number of units, state-of-the-art methods such as branch …
problem. When considering a large number of units, state-of-the-art methods such as branch …
TSO-DSO Operational Planning Coordination Through “Proximal” Surrogate Lagrangian Relaxation
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 operations …
Operator (DSO) level, bring new opportunities as well as new challenges to the operations …
[HTML][HTML] Optimizing deep decarbonization pathways in California with power system planning using surrogate level-based Lagrangian relaxation
With California's ambitious goals to decarbonize the electrical grid by 2045, significant
challenges arise in power system investment planning. Existing modeling methods and …
challenges arise in power system investment planning. Existing modeling methods and …
Synergistic integration of machine learning and mathematical optimization for unit commitment
Unit Commitment (UC) is important for power system operations. With increasing
challenges, eg, growing intermittent renewables and intra-hour net load variability …
challenges, eg, growing intermittent renewables and intra-hour net load variability …
Survey on Lagrangian relaxation for MILP: importance, challenges, historical review, recent advancements, and opportunities
MA Bragin - Annals of Operations Research, 2024 - Springer
Operations in areas of importance to society are frequently modeled as mixed-integer linear
programming (MILP) problems. While MILP problems suffer from combinatorial complexity …
programming (MILP) problems. While MILP problems suffer from combinatorial complexity …