Title: Probabilistic Risk Assessment Method for Smart Grids Speaker ...
Title: Probabilistic Risk Assessment Method for Smart Grids Speaker ...
Title: Probabilistic Risk Assessment Method for Smart Grids Speaker ...
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<strong>Title</strong>: <br />
<strong>Probabilistic</strong> <strong>Risk</strong> <strong>Assessment</strong> <strong>Method</strong> <strong>for</strong> <strong>Smart</strong> <strong>Grids</strong> <br />
<strong>Speaker</strong>: <br />
Dr. Pei Zhang <br />
Director <br />
Greater China on <strong>Smart</strong> Grid <br />
Accenture <br />
Date : <br />
Time: <br />
Venue: <br />
Friday, 13 January 2012 <br />
11:00 am -‐ 12:30 pm <br />
Lecture Theatre A, Chow Yei Ching Building <br />
Abstract: <br />
EPRI has developed a <strong>Probabilistic</strong> <strong>Risk</strong> <strong>Assessment</strong> (PRA) method under Power <br />
Delivery Reliability Initiative, which has been successfully implemented by various <br />
energy companies in planning studies of growing complexity. Unlike the traditional <br />
deterministic contingency analysis, PRA combines a probabilistic measure of the <br />
likelihood of undesirable events with a measure of the consequence of the events <br />
(that is, the impact) into a single index – <strong>Probabilistic</strong> <strong>Risk</strong> Index (PRI). EPRI internally <br />
developed the PRA program that uses contingency analysis results as well as the <br />
transmission facility outage in<strong>for</strong>mation as input to compute and graphically display <br />
the risk indices. Kansas City Power & Light (KCP&L), Tri-‐State Generation and <br />
Transmission Association (TRI-‐STATE), and New York Power Authority (NYPA) have <br />
adopted PRA method and utilized PRA program to assess their transmission systems. <br />
These research studies have demonstrated that the PRA method significantly <br />
improves the ability of conducting effective transmission operational planning, <br />
long-‐term transmission expansion planning, and transmission project prioritization. <br />
Biography of the speaker: <br />
Pei Zhang is the Director leading smart grid activities at Accenture. He was the <br />
Program Manager responsible <strong>for</strong> Grid Operation and Planning areas at Electric <br />
Power Research Institute (EPRI). Be<strong>for</strong>e joining EPRI, he worked at National Grid <br />
Company in United Kingdom (UK). He received his Ph. D. degree from Imperial <br />
College of Science, Technology and Medicine, University of London, U.K. His current
esearch interests include power system stability and control, reliability and security <br />
assessment, and application of probabilistic methods to power systems. <br />
Organizer: <br />
Dr. Y. Hou
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