- Title
- Post-disturbance transient stability assessment of power systems by a self-adaptive intelligent system
- Creator
- Zhang, Rui; Xu, Yan; Dong, Zhao Yang; Wong, Kit Po
- Relation
- ARC.LP120100302 http://purl.org/au-research/grants/arc/LP120100302
- Relation
- IET Generation, Transmission and Distribution Vol. 9, Issue 3, p. 296-305
- Publisher Link
- http://dx.doi.org/10.1049/iet-gtd.2014.0264
- Publisher
- Institution of Engineering and Technology
- Resource Type
- journal article
- Date
- 2015
- Description
- Intelligent system (IS) using synchronous phasor measurements for transient stability assessment (TSA) has received continuous interests recently. For post-disturbance TSA, one pivotal concern is the response time, which was reported in the literature as a fixed value ranging from 4 cycles to 3 s after fault clearance. Since transient instability can develop very fast, there is a pressing need for faster response speed. This paper develops a novel IS to balance the response speed and accuracy requirements. A set of classifiers are sequentially organised, each is an ensemble of extreme learning machines (ELMs), whose inputs are post-disturbance generator voltage trajectories and outputs are the classification on the stable/unstable status of the post-disturbance system and an evaluation of the credibility of the classification. A self-adaptive TSA decision-making mechanism is designed to progressively adjust the response time, such that the IS can do the classification faster, thereby allowing more time for emergency controls. The ELM ensemble classifiers can also be updated by on-line pre-disturbance TSA results due to its very fast learning speed. Case studies on the New England system and IEEE 50-machine system have validated the high efficiency and accuracy of the IS.
- Subject
- intelligent systems; transient stability assessment; response time; transient instability
- Identifier
- http://hdl.handle.net/1959.13/1332671
- Identifier
- uon:26916
- Identifier
- ISSN:1751-8687
- Rights
- This paper is a postprint of a paper submitted to and accepted for publication in IET Generation, Transmission and Distribution and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at the IET Digital Library.
- Language
- eng
- Full Text
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