Event Details
A Multi-layer Data-driven Advanced Reasoning Tool for Intelligent Data Mining and Analysis for Smart Grids
Presenter: Dr. Ning Lu, Pacific Northwest National Laboratory
Supervisor:
Date: Wed, February 8, 2012
Time: 11:00:00 - 12:00:00
Place: ECS 660
ABSTRACT
Abstract
In this presentation, Dr. Lu will present a multi-layer, data-driven advanced reasoning tool (M-DART). This tool is a proof-of-principle decision support tool for improved power system operation. M-DART will cross-correlate and examine different data sources to assess anomalies, infer root causes, and anneal data into actionable information. Residential smart meter data analysis is used as an example to demonstrate how the tool works. Meter measurements of 50 houses at 15-minute intervals were used to derive a few key signatures for several target applications such as identifying demand response potentials, detecting abnormal load behavior, and diagnosing faults. The results show that different applications require different communication bandwidths, data storage capabilities, and data processing sophistication. Therefore, it is important to build a dynamic signature database and optimize the distribution of data processing capabilities between local devices and control centers to avoid communication congestion and to identify possible problems quickly. The results also demonstrate that high-resolution smart meter data can make distribution power grid operation more economical, reliable, and resilient.
Biography
Dr. Ning Lu is a senior research engineer with Pacific Northwest National Laboratory. Dr. Lu has over 18 years of experience in electric power engineering. She has conducted and managed research projects in modeling and analysis of power system load behaviors, wide area energy storage management systems, renewable integration, climate impact on power grids, and smart grid modeling and diagnosis. Dr. Lu is a senior member of the Institute of Electrical and Electronics Engineers. She has authored or co-authored more than 60 publications, including journal articles, conference proceedings, and technical reports.
For further information, contact:
Dr. Hong-Chuan Yang (hy@uvic.ca) or Lin Cai (cai@uvic.ca)