The Experts below are selected from a list of 327 Experts worldwide ranked by ideXlab platform

J Munoz - One of the best experts on this subject based on the ideXlab platform.

  • phase shifter placement in large scale systems via mixed integer Linear Programming
    IEEE Transactions on Power Systems, 2003
    Co-Authors: F G M Lima, F D Galiana, Ivana Kockar, J Munoz
    Abstract:

    This paper makes use of advances in mixed integer Linear Programming (MILP) to conduct a preliminary design study on the combinatorial optimal placement of thyristor controlled phase shifter transformers (TCPSTs) in large-scale power systems. The procedure finds the number, network location, and settings of phase shifters that maximize system loadability under the DC load flow model, subject to limits on the installation investment or total number of TCPSTs. It also accounts for active flow and generation limits, and phase shifter constraints. Simulation results are presented for the IEEE 24-, 118-, and 300-bus systems, as well as a 904-bus network. The principal characteristics of our approach are compared with those of other published flexible AC system transmission (FACTS) allocation methods.

  • phase shifter placement in large scale systems via mixed integer Linear Programming
    IEEE Transactions on Power Systems, 2003
    Co-Authors: F G M Lima, F D Galiana, Ivana Kockar, J Munoz
    Abstract:

    This paper makes use of advances in mixed integer Linear Programming (MILP) to conduct a preliminary design study on the combinatorial optimal placement of thyristor controlled phase shifter transformers (TCPSTs) in large-scale power systems. The procedure finds the number, network location, and settings of phase shifters that maximize system loadability under the DC load flow model, subject to limits on the installation investment or total number of TCPSTs. It also accounts for active flow and generation limits, and phase shifter constraints. Simulation results are presented for the IEEE 24-, 118-, and 300-bus systems, as well as a 904-bus network. The principal characteristics of our approach are compared with those of other published flexible AC system transmission (FACTS) allocation methods.

  • Optimal location of thyristor-controlled phase shifting transformer (TCPST) by mixed integer Linear Programming
    2002
    Co-Authors: F G M Lima, Ivana Kockar, J Munoz, Francisco D. Galiana
    Abstract:

    Describes the optimal location of thyristor-controlled phase shifting transformer (TCPST) by mixed integer Linear Programming.

F G M Lima - One of the best experts on this subject based on the ideXlab platform.

  • phase shifter placement in large scale systems via mixed integer Linear Programming
    IEEE Transactions on Power Systems, 2003
    Co-Authors: F G M Lima, F D Galiana, Ivana Kockar, J Munoz
    Abstract:

    This paper makes use of advances in mixed integer Linear Programming (MILP) to conduct a preliminary design study on the combinatorial optimal placement of thyristor controlled phase shifter transformers (TCPSTs) in large-scale power systems. The procedure finds the number, network location, and settings of phase shifters that maximize system loadability under the DC load flow model, subject to limits on the installation investment or total number of TCPSTs. It also accounts for active flow and generation limits, and phase shifter constraints. Simulation results are presented for the IEEE 24-, 118-, and 300-bus systems, as well as a 904-bus network. The principal characteristics of our approach are compared with those of other published flexible AC system transmission (FACTS) allocation methods.

  • phase shifter placement in large scale systems via mixed integer Linear Programming
    IEEE Transactions on Power Systems, 2003
    Co-Authors: F G M Lima, F D Galiana, Ivana Kockar, J Munoz
    Abstract:

    This paper makes use of advances in mixed integer Linear Programming (MILP) to conduct a preliminary design study on the combinatorial optimal placement of thyristor controlled phase shifter transformers (TCPSTs) in large-scale power systems. The procedure finds the number, network location, and settings of phase shifters that maximize system loadability under the DC load flow model, subject to limits on the installation investment or total number of TCPSTs. It also accounts for active flow and generation limits, and phase shifter constraints. Simulation results are presented for the IEEE 24-, 118-, and 300-bus systems, as well as a 904-bus network. The principal characteristics of our approach are compared with those of other published flexible AC system transmission (FACTS) allocation methods.

  • Optimal location of thyristor-controlled phase shifting transformer (TCPST) by mixed integer Linear Programming
    2002
    Co-Authors: F G M Lima, Ivana Kockar, J Munoz, Francisco D. Galiana
    Abstract:

    Describes the optimal location of thyristor-controlled phase shifting transformer (TCPST) by mixed integer Linear Programming.

F D Galiana - One of the best experts on this subject based on the ideXlab platform.

  • phase shifter placement in large scale systems via mixed integer Linear Programming
    IEEE Transactions on Power Systems, 2003
    Co-Authors: F G M Lima, F D Galiana, Ivana Kockar, J Munoz
    Abstract:

    This paper makes use of advances in mixed integer Linear Programming (MILP) to conduct a preliminary design study on the combinatorial optimal placement of thyristor controlled phase shifter transformers (TCPSTs) in large-scale power systems. The procedure finds the number, network location, and settings of phase shifters that maximize system loadability under the DC load flow model, subject to limits on the installation investment or total number of TCPSTs. It also accounts for active flow and generation limits, and phase shifter constraints. Simulation results are presented for the IEEE 24-, 118-, and 300-bus systems, as well as a 904-bus network. The principal characteristics of our approach are compared with those of other published flexible AC system transmission (FACTS) allocation methods.

  • phase shifter placement in large scale systems via mixed integer Linear Programming
    IEEE Transactions on Power Systems, 2003
    Co-Authors: F G M Lima, F D Galiana, Ivana Kockar, J Munoz
    Abstract:

    This paper makes use of advances in mixed integer Linear Programming (MILP) to conduct a preliminary design study on the combinatorial optimal placement of thyristor controlled phase shifter transformers (TCPSTs) in large-scale power systems. The procedure finds the number, network location, and settings of phase shifters that maximize system loadability under the DC load flow model, subject to limits on the installation investment or total number of TCPSTs. It also accounts for active flow and generation limits, and phase shifter constraints. Simulation results are presented for the IEEE 24-, 118-, and 300-bus systems, as well as a 904-bus network. The principal characteristics of our approach are compared with those of other published flexible AC system transmission (FACTS) allocation methods.

Ivana Kockar - One of the best experts on this subject based on the ideXlab platform.

  • phase shifter placement in large scale systems via mixed integer Linear Programming
    IEEE Transactions on Power Systems, 2003
    Co-Authors: F G M Lima, F D Galiana, Ivana Kockar, J Munoz
    Abstract:

    This paper makes use of advances in mixed integer Linear Programming (MILP) to conduct a preliminary design study on the combinatorial optimal placement of thyristor controlled phase shifter transformers (TCPSTs) in large-scale power systems. The procedure finds the number, network location, and settings of phase shifters that maximize system loadability under the DC load flow model, subject to limits on the installation investment or total number of TCPSTs. It also accounts for active flow and generation limits, and phase shifter constraints. Simulation results are presented for the IEEE 24-, 118-, and 300-bus systems, as well as a 904-bus network. The principal characteristics of our approach are compared with those of other published flexible AC system transmission (FACTS) allocation methods.

  • phase shifter placement in large scale systems via mixed integer Linear Programming
    IEEE Transactions on Power Systems, 2003
    Co-Authors: F G M Lima, F D Galiana, Ivana Kockar, J Munoz
    Abstract:

    This paper makes use of advances in mixed integer Linear Programming (MILP) to conduct a preliminary design study on the combinatorial optimal placement of thyristor controlled phase shifter transformers (TCPSTs) in large-scale power systems. The procedure finds the number, network location, and settings of phase shifters that maximize system loadability under the DC load flow model, subject to limits on the installation investment or total number of TCPSTs. It also accounts for active flow and generation limits, and phase shifter constraints. Simulation results are presented for the IEEE 24-, 118-, and 300-bus systems, as well as a 904-bus network. The principal characteristics of our approach are compared with those of other published flexible AC system transmission (FACTS) allocation methods.

  • Optimal location of thyristor-controlled phase shifting transformer (TCPST) by mixed integer Linear Programming
    2002
    Co-Authors: F G M Lima, Ivana Kockar, J Munoz, Francisco D. Galiana
    Abstract:

    Describes the optimal location of thyristor-controlled phase shifting transformer (TCPST) by mixed integer Linear Programming.

O. Korbaa - One of the best experts on this subject based on the ideXlab platform.

  • A mixed integer Linear Programming approach to schedule the operating room
    2016
    Co-Authors: F Maaroufi, H Camus, O. Korbaa
    Abstract:

    the problem studied in this paper is to allocate and to sequence the elective operation on operating rooms (ORs). We develop a mixed integer Linear Programming (MILP) model to solve this problem. Decisions in this model include the allocation of operations to material resources and human resources, the starting time of them and the starting time for each surgeon. To show the efficiency of this model, we decide to compare it with a constraints Programming (CP) approach. The performance of these models is tested using a benchmark of the literature. The results indicate the efficiency of the MILP model compared with the CP model in terms of computational time.

  • SMC - A mixed integer Linear Programming approach to schedule the operating room
    2016 IEEE International Conference on Systems Man and Cybernetics (SMC), 2016
    Co-Authors: F Maaroufi, H Camus, O. Korbaa
    Abstract:

    The problem studied in this paper is to allocate and to sequence the elective operation on operating rooms (ORs). We develop a mixed integer Linear Programming (MILP) model to solve this problem. Decisions in this model include the allocation of operations to material resources and human resources, the starting time of them and the starting time for each surgeon. To show the efficiency of this model, we decide to compare it with a constraints Programming (CP) approach. The performance of these models is tested using a benchmark of the literature. The results indicate the efficiency of the MILP model compared with the CP model in terms of computational time.