Impact of Data Quality on Real-Time Locational Marginal Price
Impact of Data Quality on Real-Time Locational Marginal Price
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DOI：
10.1109/tpwrs.2013.2286992
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发表时间：
2014-03-01
影响因子：
6.6
通讯作者：
Tong, Lang
中科院分区：
文献类型：
--
作者：
Jia, Liyan;Kim, Jinsub;Tong, Lang
研究了数据质量对实时区位边际价格影响的表征问题。由于实时LMP是根据估计的网络拓扑和系统状态来计算的，因此导致拓扑处理和状态估计错误的不良数据会影响实时LMP。结果表明，电力系统状态空间被划分为凸多面体的价格区域。在不同的坏数据模型下，分析了坏数据对实时LMP的最坏影响。数值模拟用于说明IEEE-14和IEEE-118网络的最坏情况性能。
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.