%0 Journal Article
%J IEEE Transactions on Power Systems
%D 2014
%T Impact of Data Quality on Real-Time Locational Marginal Price
%A Liyan Jia
%A Kim, Jinsub
%A Robert J. Thomas
%A Lang Tong
%K electricity markets
%K locational marginal pricing
%K reliability and markets
%K RM11-003
%X 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.
%B IEEE Transactions on Power Systems
%V 29
%P 627 - 636
%8 03/2014
%N 2
%! IEEE Trans. Power Syst.
%R 10.1109/TPWRS.2013.2286992
%0 Conference Paper
%B 2012 45th Hawaii International Conference on System Sciences (HICSS)
%D 2012
%T Impacts of Malicious Data on Real-Time Price of Electricity Market Operations
%A Liyan Jia
%A Robert J. Thomas
%A Lang Tong
%K electricity markets
%K real-time pricing
%K reliability and markets
%K RM11-003
%K smart grid security
%X Impacts of malicious data data attack on the real-time electricity market are studied. It is assumed that an adversary has access to a limited number of meters and has the ability to construct data attack based on what it observes. Different observation models are considered. A geometric framework is introduced based on which upper and lower bounds on the optimal data attack are obtained and evaluated in simulations.
%B 2012 45th Hawaii International Conference on System Sciences (HICSS)
%I IEEE
%C Maui, HI, USA
%P 1907 - 1914
%8 01/2012
%@ 978-1-4577-1925-7
%R 10.1109/HICSS.2012.313