Title :
Annual Risk Assessment for Overload Security
Author :
Dai, Yun ; McCalley, James D. ; Abi-Samra, N. ; Vittal, Vijay
Author_Institution :
Iowa State University, Ames, IA; Electric Power Research Institute, Palo Alto, CA
Abstract :
This paper presents an approach to assess the cumulative risk associated with overload security for the purposes of midterm power system planning. The work is motivated by a need to refine bulk power system reliability assessment to meet the needs of the restructured industry. There are two main contributions to the work. First, the assessment is performed over a year-long trajectory of hourly operating conditions, resulting in reliability assessment of all expected conditions and not just a limited number of snapshots. Secondly, the assessment is quantified by a risk index comprised of summed products of probability and consequence. This index is a good indicator of the actual reliability level, it is decomposable, and it can be effectively integrated into economic decision-making paradigms. The work is illustrated using the 1996 IEEE Reliability Test System.
Keywords :
Decision making; Economic indicators; Power generation economics; Power system economics; Power system planning; Power system reliability; Power system security; Refining; Risk management; System testing; Overload security; decision; planning; probabilistic risk; reliability; sequential trajectory;
Journal_Title :
Power Engineering Review, IEEE
DOI :
10.1109/MPER.2001.4311085