Title :
Smart Flexible Just-in-Time Transmission and Flowgate Bidding
Author :
Hedman, Kory W. ; O´Neill, Richard P. ; Fisher, Emily Bartholomew ; Oren, Shmuel S.
Author_Institution :
Dept. of Ind. Eng. & Oper. Res., Univ. of California at Berkeley, Berkeley, CA, USA
Abstract :
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.
Keywords :
power generation dispatch; power transmission economics; smart power grids; Federal Energy Regulatory Commission; NYISO networks; SPP networks; dispatch cost reduction; flowgate bidding; generation cooptimization; large-scale ISO network models; line flow; network efficiency; network topology; optimal transmission switching model; smart flexible just-in-time transmission; smart grid-advanced technology; transmission asset modeling; Integer programming; power generation dispatch; power system economics; power transmission control; power transmission economics;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2010.2047660