Benders decomposition has been broadly used for security constrained unit commitment problems, despite the fact that it may present convergence difficulties due to instabilities and to the mixed integer nature of the unit commitment problem. The initialization of Benders decomposition has been recognized as a prominent feature for the algorithm enhancement. In this work, a new Benders decomposition initialization methodology is proposed. The objective of the initialization is to include inexpensive network signals that can be added during the initial unit commitment master problem. Numerical simulations using the IEEE-118 and RTS-96 systems are performed to illustrate the benefits of the proposed initialization methodology. Results suggest ...
This paper presents a computational approach to evaluate resilience of electricity Distribution Netw...
This package contains the instance data used for the experiments presented in the paper Learning to ...
Attacker-defender models help practitioners understand a network’s resistance to attack. An assailan...
Security Constrained Unit Commitment is a large scale optimization problem of fundamental applicatio...
In this paper, a general scheme for generating extra cuts during the execution of a Benders decompos...
For most huge systems, planning is a very important step to adapt them for future excepted changes. ...
This paper presents a Benders decomposition approach to determine the optimal day-ahead power schedu...
This paper presents a new Mixed Integer Linear Programming model (MILP) to account for the Security-...
Available transfer capability (ATC) is an important indicator of the usable amount of transmission c...
The emergence of a great number of regional planning projects worldwide has considerably increased t...
Abstract-In power market environment, available transfer capability (ATC) is an important index indi...
In power market environment, available transfer capability (ATC) is an important indicator of the fu...
In this work, the system evaluates the impact of considering a stochastic approach on the day ahead ...
Benders decomposition is a solution method for solving certain large-scale optimization problems. In...
This paper presents two exact algorithms based on Benders decomposition for solving the multicommodi...
This paper presents a computational approach to evaluate resilience of electricity Distribution Netw...
This package contains the instance data used for the experiments presented in the paper Learning to ...
Attacker-defender models help practitioners understand a network’s resistance to attack. An assailan...
Security Constrained Unit Commitment is a large scale optimization problem of fundamental applicatio...
In this paper, a general scheme for generating extra cuts during the execution of a Benders decompos...
For most huge systems, planning is a very important step to adapt them for future excepted changes. ...
This paper presents a Benders decomposition approach to determine the optimal day-ahead power schedu...
This paper presents a new Mixed Integer Linear Programming model (MILP) to account for the Security-...
Available transfer capability (ATC) is an important indicator of the usable amount of transmission c...
The emergence of a great number of regional planning projects worldwide has considerably increased t...
Abstract-In power market environment, available transfer capability (ATC) is an important index indi...
In power market environment, available transfer capability (ATC) is an important indicator of the fu...
In this work, the system evaluates the impact of considering a stochastic approach on the day ahead ...
Benders decomposition is a solution method for solving certain large-scale optimization problems. In...
This paper presents two exact algorithms based on Benders decomposition for solving the multicommodi...
This paper presents a computational approach to evaluate resilience of electricity Distribution Netw...
This package contains the instance data used for the experiments presented in the paper Learning to ...
Attacker-defender models help practitioners understand a network’s resistance to attack. An assailan...