%0 Journal Article
%J IEEE Transactions on Power Systems
%D 2011
%T Smart Flexible Just-in-Time Transmission and Flowgate Bidding
%A Kory W. Hedman
%A Richard P. O'Neill
%A Emily Bartholome Fisher
%A Shmuel S. Oren
%K reliability and markets
%K RM08-001
%X There is currently a national push to create a smarter grid. Currently, the full control of transmission assets is not built in network optimization models. With more sophisticated modeling of transmission assets, it is possible to better utilize the current infrastructure to improve the social welfare. Co-optimizing the generation with the network topology has been shown to reduce the total dispatch cost. In this paper, we propose the concept of just-in-time transmission. This concept is predicated on the fact that transmission that is a detriment to network efficiency can be kept offline when not needed and, with the proper smart grid/advanced technology, can be switched back into service once there is a disturbance. We determine which lines to have offline based on the optimal transmission switching model previously proposed. A secondary topic of this paper focuses on flowgate bidding. Approved by the Federal Energy Regulatory Commission and implemented within the SPP and NYISO networks, flowgate bidding is defined as allowing a line's flow to exceed its rated capacity for a short period of time for a set penalty, i.e., price. We demonstrate the effectiveness of these models by testing them on large-scale ISO network models.
%B IEEE Transactions on Power Systems
%V 26
%P 93 - 102
%8 02/2011
%N 1
%! IEEE Trans. Power Syst.
%R 10.1109/TPWRS.2010.2047660
%0 Journal Article
%J IEEE Transactions on Power Systems
%D 2010
%T Co-Optimization of Generation Unit Commitment and Transmission Switching With N-1 Reliability
%A Kory W. Hedman
%A Ferris, Michael C.
%A Richard P. O'Neill
%A Emily Bartholome Fisher
%A Shmuel S. Oren
%K reliability and markets
%K RM08-001
%X 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.
%B IEEE Transactions on Power Systems
%V 25
%P 1052 - 1063
%8 05/2010
%N 2
%! IEEE Trans. Power Syst.
%R 10.1109/TPWRS.2009.2037232
%0 Journal Article
%J IEEE Transactions on Power Systems
%D 2009
%T Optimal Transmission Switching With Contingency Analysis
%A Kory W. Hedman
%A Richard P. O'Neill
%A Emily Bartholome Fisher
%A Shmuel S. Oren
%K CERTS
%K power system economics
%K reliability and markets
%K RM08-001
%X In this paper, we analyze the N-1 reliable dc optimal dispatch with transmission switching. The model is a mixed integer program (MIP) with binary variables representing the state of the transmission element (line or transformer) and the model can be used for planning and/or operations. We then attempt to find solutions to this problem using the IEEE 118-bus and the RTS 96 system test cases. The IEEE 118-bus test case is analyzed at varying load levels. Using simple heuristics, we demonstrate that these networks can be operated to satisfy N-1 standards while cutting costs by incorporating transmission switching into the dispatch. In some cases, the percent savings from transmission switching was higher with an N-1 DCOPF formulation than with a DCOPF formulation.
%B IEEE Transactions on Power Systems
%V 24
%P 1577 - 1586
%8 08/2009
%N 3
%! IEEE Trans. Power Syst.
%R 10.1109/TPWRS.2009.2020530
%0 Journal Article
%J IEEE Transactions on Power Systems
%D 2008
%T Optimal Transmission Switchingâ€”Sensitivity Analysis and Extensions
%A Kory W. Hedman
%A Richard P. O'Neill
%A Emily Bartholome Fisher
%A Shmuel S. Oren
%K CERTS
%K power system economics
%K reliability and markets
%K RM08-001
%X In this paper, we continue to analyze optimal dispatch of generation and transmission topology to meet load as a mixed integer program (MIP) with binary variables representing the state of the transmission element (line or transformer). Previous research showed a 25% savings by dispatching the IEEE 118-bus test case. This paper is an extension of that work. It presents how changing the topology affects nodal prices, load payment, generation revenues, cost, and rents, congestion rents, and flowgate prices. Results indicate that changing the topology to cut costs typically results in lower load payments and higher generation rents for this network. Computational issues are also discussed.
%B IEEE Transactions on Power Systems
%V 23
%P 1469 - 1479
%8 08/2008
%N 3
%! IEEE Trans. Power Syst.
%R 10.1109/TPWRS.2008.926411