Probabilistic framework for transient stability assessment of power systems with high penetration of renewable generation

Papadopoulos, Panagiotis N. and Milanović, Jovica V. (2017) Probabilistic framework for transient stability assessment of power systems with high penetration of renewable generation. IEEE Transactions on Power Systems, 32 (4). pp. 3078-3088. ISSN 0885-8950 (https://doi.org/10.1109/TPWRS.2016.2630799)

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Abstract

This paper introduces a probabilistic framework for transient stability assessment (TSA) of power systems with high penetration of renewable generation. The critical generators and areas of the system are identified using a method based on hierarchical clustering. Furthermore, statistical analysis of several transient stability indices is performed to assess their suitability for TSA of reduced inertia systems. The proposed framework facilitates robust assessment of transient stability of uncertain power systems with reduced inertia.

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  Item type:	Article
  ID code:	62609
  Dates:	Date Event 1 July 2017 Published 18 November 2016 Published Online 12 November 2016 Accepted
  Notes:	(c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
  Subjects:	Technology > Electrical engineering. Electronics Nuclear engineering
  Department:	Faculty of Engineering > Electronic and Electrical Engineering
  Depositing user:	Pure Administrator
  Date deposited:	14 Dec 2017 12:08
  Last modified:	08 Apr 2024 23:41
  Related URLs:	Journal or Publication https://www.research.manchester.ac.uk/po...
  URI:	https://strathprints.strath.ac.uk/id/eprint/62609