Impact of Data Quality on Real-Time Locational Marginal Price
Numerical Analysis
2013-09-02 v2
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
Cite
@article{arxiv.1212.6662,
title = {Impact of Data Quality on Real-Time Locational Marginal Price},
author = {Liyan Jia and Jinsub Kim and Robert J. Thomas and Lang Tong},
journal= {arXiv preprint arXiv:1212.6662},
year = {2013}
}
Comments
Compared to the first version, the authors added in Section IV-E details about the computational issue of the proposed analysis