Efficient probabilistic contingency analysis through a stability measure considering wind perturbation
Hua, Ke Qian, Vahidnia, Arash, Mishra, Yateendra, & Ledwich, Gerard (2016) Efficient probabilistic contingency analysis through a stability measure considering wind perturbation. IET Generation, Transmission and Distribution, 10(4), pp. 897-905.
The integration of stochastic wind power has accentuated a challenge for power system stability assessment. Since the power system is a time-variant system under wind generation fluctuations, pure time-domain simulations are difficult to provide real-time stability assessment. As a result, the worst-case scenario is simulated to give a very conservative assessment of system transient stability. In this study, a probabilistic contingency analysis through a stability measure method is proposed to provide a less conservative contingency analysis which covers 5-min wind fluctuations and a successive fault. This probabilistic approach would estimate the transfer limit of a critical line for a given fault with stochastic wind generation and active control devices in a multi-machine system. This approach achieves a lower computation cost and improved accuracy using a new stability measure and polynomial interpolation, and is feasible for online contingency analysis.
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|Item Type:||Journal Article|
|Keywords:||wind power plants, power system controls, time-domain simulations, power system transient stability, polynomial approximation|
|Subjects:||Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Power and Energy Systems Engineering (excl. Renewable Power) (090607)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Renewable Power and Energy Systems Engineering (excl. Solar Cells) (090608)
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2016 The Institution of Engineering and Technology|
|Deposited On:||24 Mar 2016 00:50|
|Last Modified:||29 Mar 2016 00:31|
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