Title :
Severity Index for Estimating the Impact of Wind Generation on System Vulnerability
Author :
El-Arroudi, Khalil ; Joós, Géza ; McGillis, Donald ; Brearl, Reginald
Author_Institution :
Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, QC
Abstract :
This paper proposes a severity index for estimating the impact of penetration of wind energy on the vulnerability of a power system. This index is the risk of not meeting the load and is in fact the risk of failure of the probability distributions of the system load and the system generation including the wind penetration. This probabilistic approach is appropriate for a system with large wind generation installation due to the random nature of the wind generation output. The severity index is proposed to recognize the possible existence of an area of vulnerability at the point of common coupling (PCC). This approach does not preclude applying this methodology to a specific PCC bus in order to verify the impact on the security at each PCC bus in the planning stage and to alert the system operator of any possible shortfall of generation. A case study is provided to demonstrate the proposed approach.
Keywords :
power generation faults; power generation planning; power generation reliability; power system security; risk analysis; statistical distributions; wind power plants; failure risk; generation planning; point-of-common coupling; power system vulnerability; probability distribution; severity index estimation; wind energy generation; wind energy penetration; wind generation installation; Power generation; Power system measurements; Power system planning; Power system reliability; Probability distribution; Security; Spinning; Uncertainty; Wind energy; Wind energy generation; Adequacy Evaluation; Generation Systems; Power System Reliability; Power systems; Wind Power;
Conference_Titel :
Power Engineering Society General Meeting, 2007. IEEE
Conference_Location :
Tampa, FL
Print_ISBN :
1-4244-1296-X
Electronic_ISBN :
1932-5517
DOI :
10.1109/PES.2007.386052