International audienceUnit Commitment Problem (UCP) is a strategic optimization problem in power system operation. Its objective is to schedule the generating units online or offline over a scheduling horizon such that the power production cost is minimized with the load demand fully met and the operation constraints satisfied.In this paper an approach to solve the UCP called DYNAMOP for DYNAmic programming using Metaheuristic for Optimizations Problems is proposed. The main idea of this method is to use a genetic algorithm (GA) to run through the graph of Dynamic Programming
International audienceIn the single objective Unit Commitment Problem (UCP) the problem is usually s...
AbstractLarge scale power systems Unit Commitment (UC) is a complicated, hard limit, mixed integer c...
This paper presents a new algorithm based on integrating the use of genetic algorithms and tabu sear...
International audienceUnit Commitment Problem (UCP) is a strategic optimization problem in power sys...
International audienceIn tho sarticle,we propose to apply a hybrid method called DYNAMOP (DYNAmic pr...
Unit commitment(UC) is one of the essential activities in power systems planning and operation that ...
This paper presents a new genetic algorithm approach to solve the unit commitment problem in electri...
Cette thèse s'intéresse à l'étude de deux problèmes d'optimisation pour la production d’énergie élec...
This paper presents and identifies alternative strategies with the advantages of Genetic Algorithm f...
The Unit Commitment (UC) problem is a wellknown combinatorial optimization problem arising in operat...
A worldwide increase in energy consumption is being observed and the task of meeting this demand at ...
This paper presents a new algorithm based on integrating genetic algorithms, tabu search and simulat...
We consider a Unit Commitment Problem (UCP) addressing not only the economic objective of minimizing...
International audienceThis work proposes a hybrid genetic algorithm (GA) to address the unit commitm...
This thesis is devoted to the optimal commitment of generation units in a power system, a problem kn...
International audienceIn the single objective Unit Commitment Problem (UCP) the problem is usually s...
AbstractLarge scale power systems Unit Commitment (UC) is a complicated, hard limit, mixed integer c...
This paper presents a new algorithm based on integrating the use of genetic algorithms and tabu sear...
International audienceUnit Commitment Problem (UCP) is a strategic optimization problem in power sys...
International audienceIn tho sarticle,we propose to apply a hybrid method called DYNAMOP (DYNAmic pr...
Unit commitment(UC) is one of the essential activities in power systems planning and operation that ...
This paper presents a new genetic algorithm approach to solve the unit commitment problem in electri...
Cette thèse s'intéresse à l'étude de deux problèmes d'optimisation pour la production d’énergie élec...
This paper presents and identifies alternative strategies with the advantages of Genetic Algorithm f...
The Unit Commitment (UC) problem is a wellknown combinatorial optimization problem arising in operat...
A worldwide increase in energy consumption is being observed and the task of meeting this demand at ...
This paper presents a new algorithm based on integrating genetic algorithms, tabu search and simulat...
We consider a Unit Commitment Problem (UCP) addressing not only the economic objective of minimizing...
International audienceThis work proposes a hybrid genetic algorithm (GA) to address the unit commitm...
This thesis is devoted to the optimal commitment of generation units in a power system, a problem kn...
International audienceIn the single objective Unit Commitment Problem (UCP) the problem is usually s...
AbstractLarge scale power systems Unit Commitment (UC) is a complicated, hard limit, mixed integer c...
This paper presents a new algorithm based on integrating the use of genetic algorithms and tabu sear...