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[HTML][HTML] A modeler's guide to handle complexity in energy systems optimization
Determining environmentally-and economically-optimal energy systems designs and
operations is complex. In particular, the integration of weather-dependent renewable energy …
operations is complex. In particular, the integration of weather-dependent renewable energy …
[HTML][HTML] A review on the unit commitment problem: Approaches, techniques, and resolution methods
Optimizing the schedule of thermal generators is probably the most important task when the
operation of power systems is managed. This issue is known as the unit commitment …
operation of power systems is managed. This issue is known as the unit commitment …
High-level penetration of renewable energy sources into grid utility: Challenges and solutions
The utilization of renewable energy sources (RESs) has become significant throughout the
world, especially over the last two decades. Although high-level RESs penetration reduces …
world, especially over the last two decades. Although high-level RESs penetration reduces …
On mixed-integer programming formulations for the unit commitment problem
We provide a comprehensive overview of mixed-integer programming formulations for the
unit commitment (UC) problem. UC formulations have been an especially active area of …
unit commitment (UC) problem. UC formulations have been an especially active area of …
Learning to solve large-scale security-constrained unit commitment problems
Security-constrained unit commitment (SCUC) is a fundamental problem in power systems
and electricity markets. In practical settings, SCUC is repeatedly solved via mixed-integer …
and electricity markets. In practical settings, SCUC is repeatedly solved via mixed-integer …
Tight and compact MILP formulation for the thermal unit commitment problem
This paper presents a mixed-integer linear programming (MILP) reformulation of the thermal
unit commitment (UC) problem. The proposed formulation is simultaneously tight and …
unit commitment (UC) problem. The proposed formulation is simultaneously tight and …
Online optimal power scheduling of a microgrid via imitation learning
This paper investigates the economic operation of a microgrid with a variety of distributed
energy resources. Given the intermittency of renewable generation and the high …
energy resources. Given the intermittency of renewable generation and the high …
Multistage robust unit commitment with dynamic uncertainty sets and energy storage
The deep penetration of wind and solar power is a critical component of the future power
grid. However, the intermittency and stochasticity of these renewable resources bring …
grid. However, the intermittency and stochasticity of these renewable resources bring …
Multistage adaptive robust optimization for the unit commitment problem
The growing uncertainty associated with the increasing penetration of wind and solar power
generation has presented new challenges to the operation of large-scale electric power …
generation has presented new challenges to the operation of large-scale electric power …
Offering model for a virtual power plant based on stochastic programming
A virtual power plant aggregates various local production/consumption units that act in the
market as a single entity. This paper considers a virtual power plant consisting of an …
market as a single entity. This paper considers a virtual power plant consisting of an …