A review on the unit commitment problem: Approaches, techniques, and resolution methods

L Montero, A Bello, J Reneses - Energies, 2022 - mdpi.com
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 …

[HTML][HTML] Fundamentals and recent developments in stochastic unit commitment

M Håberg - International Journal of Electrical Power & Energy …, 2019 - Elsevier
Optimal scheduling of power generating units must take into account possibilities of forecast
errors and equipment failure. The stochastic unit commitment problem addresses …

Time series forecasting using ensemble learning methods for emergency prevention in hydroelectric power plants with dam

SF Stefenon, MHDM Ribeiro, A Nied, KC Yow… - Electric Power Systems …, 2022 - Elsevier
In hydroelectric plants, the responsibility for the operation of the reservoirs typically lies with
the national system operator, who controls the level of the reservoirs based on a stochastic …

Deep reinforcement learning based unit commitment scheduling under load and wind power uncertainty

A Ajagekar, F You - IEEE Transactions on Sustainable Energy, 2022 - ieeexplore.ieee.org
The intermittent nature of renewable energy sources and fluctuating electricity demand
induce significant uncertainty that needs to be tackled with computationally efficient solution …

Large-scale unit commitment under uncertainty: an updated literature survey

W Van Ackooij, I Danti Lopez, A Frangioni… - Annals of Operations …, 2018 - Springer
Abstract The Unit Commitment problem in energy management aims at finding the optimal
production schedule of a set of generation units, while meeting various system-wide …

A hybrid whale optimization-differential evolution and genetic algorithm based approach to solve unit commitment scheduling problem: WODEGA

A Singh, A Khamparia - Sustainable computing: informatics and systems, 2020 - Elsevier
Abstract Background Unit Commitment (UC) is a complication in the domain of power
systems engineering which is integral to the secure, efficient, and economic daily operation …

Generation of hydro energy by using data mining algorithm for cascaded hydropower plant

I Parvez, J Shen, I Hassan, N Zhang - Energies, 2021 - mdpi.com
The thirst of the Earth for energy is lurching towards catastrophe in an era of increasing
water shortage where most of the power plants are hydroelectric. The hydro-based power …

Convex relaxations of the short-term hydrothermal scheduling problem

A Helseth, S Jaehnert, AL Diniz - IEEE Transactions on Power …, 2020 - ieeexplore.ieee.org
This paper concerns the assessment of two methods for convex relaxation of the short-term
hydrothermal scheduling problem. The problem is originally formulated as a mixed integer …

An exact solution method for the hydrothermal unit commitment under wind power uncertainty with joint probability constraints

W van Ackooij, EC Finardi… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The ever-growing insertion of intermittent energy sources requires to account for this
uncertainty by precise models. Probabilistic constraints are an interesting technique to deal …

Solving stochastic hydrothermal unit commitment with a new primal recovery technique based on Lagrangian solutions

MR Scuzziato, EC Finardi, A Frangioni - International Journal of Electrical …, 2021 - Elsevier
The high penetration of intermittent renewable generation has prompted the development of
Stochastic Hydrothermal Unit Commitment (SHUC) models, which are more difficult to be …