Title :
Impact of Data Quality on Real-Time Locational Marginal Price
Author :
Liyan Jia ; Jinsub Kim ; Thomas, R.J. ; Lang Tong
Author_Institution :
Sch. of Electr. & Comput. Eng., Cornell Univ., Ithaca, NY, USA
Abstract :
The problem of characterizing impacts of data quality on real-time locational marginal price (LMP) is considered. Because the real-time LMP is computed from the estimated network topology and system state, bad data that cause errors in topology processing and state estimation affect real-time LMP. It is shown that the power system state space is partitioned into price regions of convex polytopes. Under different bad data models, the worst case impacts of bad data on real-time LMP are analyzed. Numerical simulations are used to illustrate worst case performance for IEEE-14 and IEEE-118 networks.
Keywords :
convex programming; data analysis; geometry; power markets; power system state estimation; IEEE-118 network; IEEE-14 network; LMP; bad data analysis; convex polytopes; data models; data quality impact; deregulated electricity market; network topology estimation; numerical simulations; power system state space; real-time locational marginal price; system state estimation; Data models; Network topology; Power systems; Real-time systems; State estimation; Topology; Vectors; Bad data detection; cyber security of smart grid; locational marginal price (LMP); power system state estimation; real-time market;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2013.2286992
