A binary-real-coded differential evolution for unit commitment problem

D Datta, S Dutta - International Journal of Electrical Power & Energy …, 2012 - Elsevier
The unit commitment problem (UCP) is a nonlinear mixed-integer optimization problem
encountered in power systems, in which some power generating units are to be scheduled …

Unit commitment problem with ramp rate constraint using a binary-real-coded genetic algorithm

D Datta - Applied Soft Computing, 2013 - Elsevier
The unit commitment problem (UCP) is a nonlinear mixed-integer optimization problem,
encountered as one of the toughest problems in power systems. The problem becomes …

Hybridizing genetic algorithm with grey prediction evolution algorithm for solving unit commitment problem

W Tong, D Liu, Z Hu, Q Su - Applied Intelligence, 2023 - Springer
The unit commitment problem (UCP), which includes the unit schedule and power dispatch,
is a nonlinear high-dimensional and highly constrained mixed-integer combinatorial …

Optimization of unit commitment problem with ramp-rate constraint and wrap-around scheduling

D Deka, D Datta - Electric Power Systems Research, 2019 - Elsevier
The unit commitment problem (UCP) is one of the most studied problems in power systems.
The scheduling of the units to meet the forecasted power demand at each time instant at the …

A hybrid biased random key genetic algorithm approach for the unit commitment problem

LAC Roque, DBMM Fontes, FACC Fontes - Journal of Combinatorial …, 2014 - Springer
This work proposes a hybrid genetic algorithm (GA) to address the unit commitment (UC)
problem. In the UC problem, the goal is to schedule a subset of a given group of electrical …

[图书][B] Computational intelligence paradigms for optimization problems using MATLAB®/SIMULINK®

S Sumathi, LA Kumar - 2018 - books.google.com
Considered one of the most innovative research directions, computational intelligence (CI)
embraces techniques that use global search optimization, machine learning, approximate …

A biased random key genetic algorithm approach for unit commitment problem

LAC Roque, DBMM Fontes, FACC Fontes - International Symposium on …, 2011 - Springer
Abstract A Biased Random Key Genetic Algorithm (BRKGA) is proposed to find solutions for
the unit commitment problem. In this problem, one wishes to schedule energy production on …

[PDF][PDF] Indexed bibliography of genetic algorithms in power engineering

JT Alander - Practical Handbook of Genetic Algorithms: New …, 1995 - researchgate.net
\Living organism are consummate problem solvers. They exhibit a versatility that puts the
best computer programs to shame." John H. Holland 1] The material of this bibliography has …

Improved evolutionary algorithms for economic load dispatch optimization problems

S Orike, DW Corne - 2012 12th UK Workshop on …, 2012 - ieeexplore.ieee.org
We describe and evaluate a new evolutionary algorithm (EA) approach for solving the
optimal power flow problem for economic load dispatch in the electricity generation industry …

An optimal control approach to the unit commitment problem

FACC Fontes, DBMM Fontes… - 2012 IEEE 51st IEEE …, 2012 - ieeexplore.ieee.org
The Unit Commitment (UC) problem is a wellknown combinatorial optimization problem
arising in operations planning of power systems. It is typically formulated as nonlinear mixed …