Add to ORKGThis paper presents a unit commitment algorithm which combines the Lagrangian relaxation (LR), sequential unit commitment (SUC), and optimal unit decommitment (UD) methods to solve a general hydro-thermal optimization (HTO) problem. The authors argue that this approach retains the advantages of the LR method while addressing the method\u27\u27s observed weaknesses to improve overall algorithm performance and quality of solution. The proposed approach has been implemented in a version of PG&E\u27\u27s HTO program, and test results are presented
The high penetration of intermittent renewable generation has prompted the development of Stochastic...
The high penetration of intermittent renewable generation has prompted the development of Stochastic...
AbstractThe multi-objective scheduling of maximizing the profit and minimising the emission of a Hyd...
This paper presents a unit commitment algorithm which combines the Lagrangian relaxation (LR), seque...
In this paper, the authors develop a model and technique for solving the combined hydro and thermal ...
Solving very-large-scale optimization problems frequently require to decompose them in smaller subpr...
Solving very-large-scale optimization problems frequently require to decompose them in smaller subpr...
Solving very-large-scale optimization problems frequently require to decompose them in smaller subpr...
Solving very-large-scale optimization problems frequently require to decompose them in smaller subpr...
Lagrangian Relaxation (LR) algorithms are among the most successful approaches for solving large-sca...
Lagrangian Relaxation (LR) algorithms are among the most successful approaches for solving large-sca...
For decades, researchers have been studying the unit commitment problem in electrical power generati...
This thesis is devoted to the optimal commitment of generation units in an all-thermal, single or mu...
AbstractThe multi-objective scheduling of maximizing the profit and minimising the emission of a Hyd...
The unit commitment problem in a power generation system comprising thermal and pumped-storage hydro...
The high penetration of intermittent renewable generation has prompted the development of Stochastic...
The high penetration of intermittent renewable generation has prompted the development of Stochastic...
AbstractThe multi-objective scheduling of maximizing the profit and minimising the emission of a Hyd...
This paper presents a unit commitment algorithm which combines the Lagrangian relaxation (LR), seque...
In this paper, the authors develop a model and technique for solving the combined hydro and thermal ...
Solving very-large-scale optimization problems frequently require to decompose them in smaller subpr...
Solving very-large-scale optimization problems frequently require to decompose them in smaller subpr...
Solving very-large-scale optimization problems frequently require to decompose them in smaller subpr...
Solving very-large-scale optimization problems frequently require to decompose them in smaller subpr...
Lagrangian Relaxation (LR) algorithms are among the most successful approaches for solving large-sca...
Lagrangian Relaxation (LR) algorithms are among the most successful approaches for solving large-sca...
For decades, researchers have been studying the unit commitment problem in electrical power generati...
This thesis is devoted to the optimal commitment of generation units in an all-thermal, single or mu...
AbstractThe multi-objective scheduling of maximizing the profit and minimising the emission of a Hyd...
The unit commitment problem in a power generation system comprising thermal and pumped-storage hydro...
The high penetration of intermittent renewable generation has prompted the development of Stochastic...
The high penetration of intermittent renewable generation has prompted the development of Stochastic...
AbstractThe multi-objective scheduling of maximizing the profit and minimising the emission of a Hyd...