The Experts below are selected from a list of 7329 Experts worldwide ranked by ideXlab platform

Shmuel S Oren - One of the best experts on this subject based on the ideXlab platform.

  • Economic analysis of the N-1 reliable unit commitment and transmission switching problem using duality concepts
    Energy Systems, 2010
    Co-Authors: Richard P. O’neill, Eric A. Krall, Kory W. Hedman, Anthony Papavasiliou, Shmuel S Oren
    Abstract:

    Currently, there is a national push for a Smarter electric Grid, one that is more controllable and flexible. Only limited control and flexibility of electric assets is currently built into electric network optimization models. Optimal transmission switching is a low cost way to leverage Grid controllability: to make better use of the existing system and meet growing demand with existing infrastructure. Such control and flexibility can be categorized as a “Smart Grid Application” where there is a co-optimization of both generators or loads and transmission topology. In this paper we form the dual problem and examine the multi-period N-1 reliable unit commitment and transmission switching problem with integer variables fixed to their optimal values. Results including LMPs and marginal cost distributions are presented for the IEEE RTS 96 test problem. The Applications of this analysis in improving the efficiency of ISO and RTO markets are discussed.

  • co optimization of generation unit commitment and transmission switching with n 1 reliability
    IEEE Transactions on Power Systems, 2010
    Co-Authors: Kory W. Hedman, Emily Fisher, Richard P Oneill, Michael C Ferris, Shmuel S Oren
    Abstract:

    Currently, there is a national push for a Smarter electric Grid, one that is more controllable and flexible. The full control of transmission assets are not currently built into electric network optimization models. Optimal transmission switching is a straightforward way to leverage Grid controllability: to make better use of the existing system and meet growing demand with existing infrastructure. Previous papers have shown that optimizing the network topology improves the dispatch of electrical networks. Such optimal topology dispatch can be categorized as a Smart Grid Application where there is a co-optimization of both generators and transmission topology. In this paper we present a co-optimization formulation of the generation unit commitment and transmission switching problem while ensuring N-1 reliability. We show that the optimal topology of the network can vary from hour to hour. We also show that optimizing the topology can change the optimal unit commitment schedule. This problem is large and computationally complex even for medium sized systems. We present decomposition and computational approaches to solving this problem. Results are presented for the IEEE RTS 96 test case.

Kory W. Hedman - One of the best experts on this subject based on the ideXlab platform.

  • Economic analysis of the N-1 reliable unit commitment and transmission switching problem using duality concepts
    Energy Systems, 2010
    Co-Authors: Richard P. O’neill, Eric A. Krall, Kory W. Hedman, Anthony Papavasiliou, Shmuel S Oren
    Abstract:

    Currently, there is a national push for a Smarter electric Grid, one that is more controllable and flexible. Only limited control and flexibility of electric assets is currently built into electric network optimization models. Optimal transmission switching is a low cost way to leverage Grid controllability: to make better use of the existing system and meet growing demand with existing infrastructure. Such control and flexibility can be categorized as a “Smart Grid Application” where there is a co-optimization of both generators or loads and transmission topology. In this paper we form the dual problem and examine the multi-period N-1 reliable unit commitment and transmission switching problem with integer variables fixed to their optimal values. Results including LMPs and marginal cost distributions are presented for the IEEE RTS 96 test problem. The Applications of this analysis in improving the efficiency of ISO and RTO markets are discussed.

  • co optimization of generation unit commitment and transmission switching with n 1 reliability
    IEEE Transactions on Power Systems, 2010
    Co-Authors: Kory W. Hedman, Emily Fisher, Richard P Oneill, Michael C Ferris, Shmuel S Oren
    Abstract:

    Currently, there is a national push for a Smarter electric Grid, one that is more controllable and flexible. The full control of transmission assets are not currently built into electric network optimization models. Optimal transmission switching is a straightforward way to leverage Grid controllability: to make better use of the existing system and meet growing demand with existing infrastructure. Previous papers have shown that optimizing the network topology improves the dispatch of electrical networks. Such optimal topology dispatch can be categorized as a Smart Grid Application where there is a co-optimization of both generators and transmission topology. In this paper we present a co-optimization formulation of the generation unit commitment and transmission switching problem while ensuring N-1 reliability. We show that the optimal topology of the network can vary from hour to hour. We also show that optimizing the topology can change the optimal unit commitment schedule. This problem is large and computationally complex even for medium sized systems. We present decomposition and computational approaches to solving this problem. Results are presented for the IEEE RTS 96 test case.

Richard P. O’neill - One of the best experts on this subject based on the ideXlab platform.

  • Economic analysis of the N-1 reliable unit commitment and transmission switching problem using duality concepts
    Energy Systems, 2010
    Co-Authors: Richard P. O’neill, Eric A. Krall, Kory W. Hedman, Anthony Papavasiliou, Shmuel S Oren
    Abstract:

    Currently, there is a national push for a Smarter electric Grid, one that is more controllable and flexible. Only limited control and flexibility of electric assets is currently built into electric network optimization models. Optimal transmission switching is a low cost way to leverage Grid controllability: to make better use of the existing system and meet growing demand with existing infrastructure. Such control and flexibility can be categorized as a “Smart Grid Application” where there is a co-optimization of both generators or loads and transmission topology. In this paper we form the dual problem and examine the multi-period N-1 reliable unit commitment and transmission switching problem with integer variables fixed to their optimal values. Results including LMPs and marginal cost distributions are presented for the IEEE RTS 96 test problem. The Applications of this analysis in improving the efficiency of ISO and RTO markets are discussed.

Richard P Oneill - One of the best experts on this subject based on the ideXlab platform.

  • co optimization of generation unit commitment and transmission switching with n 1 reliability
    IEEE Transactions on Power Systems, 2010
    Co-Authors: Kory W. Hedman, Emily Fisher, Richard P Oneill, Michael C Ferris, Shmuel S Oren
    Abstract:

    Currently, there is a national push for a Smarter electric Grid, one that is more controllable and flexible. The full control of transmission assets are not currently built into electric network optimization models. Optimal transmission switching is a straightforward way to leverage Grid controllability: to make better use of the existing system and meet growing demand with existing infrastructure. Previous papers have shown that optimizing the network topology improves the dispatch of electrical networks. Such optimal topology dispatch can be categorized as a Smart Grid Application where there is a co-optimization of both generators and transmission topology. In this paper we present a co-optimization formulation of the generation unit commitment and transmission switching problem while ensuring N-1 reliability. We show that the optimal topology of the network can vary from hour to hour. We also show that optimizing the topology can change the optimal unit commitment schedule. This problem is large and computationally complex even for medium sized systems. We present decomposition and computational approaches to solving this problem. Results are presented for the IEEE RTS 96 test case.

Michael C Ferris - One of the best experts on this subject based on the ideXlab platform.

  • co optimization of generation unit commitment and transmission switching with n 1 reliability
    IEEE Transactions on Power Systems, 2010
    Co-Authors: Kory W. Hedman, Emily Fisher, Richard P Oneill, Michael C Ferris, Shmuel S Oren
    Abstract:

    Currently, there is a national push for a Smarter electric Grid, one that is more controllable and flexible. The full control of transmission assets are not currently built into electric network optimization models. Optimal transmission switching is a straightforward way to leverage Grid controllability: to make better use of the existing system and meet growing demand with existing infrastructure. Previous papers have shown that optimizing the network topology improves the dispatch of electrical networks. Such optimal topology dispatch can be categorized as a Smart Grid Application where there is a co-optimization of both generators and transmission topology. In this paper we present a co-optimization formulation of the generation unit commitment and transmission switching problem while ensuring N-1 reliability. We show that the optimal topology of the network can vary from hour to hour. We also show that optimizing the topology can change the optimal unit commitment schedule. This problem is large and computationally complex even for medium sized systems. We present decomposition and computational approaches to solving this problem. Results are presented for the IEEE RTS 96 test case.