NDLI: Radial distribution system characterization based on the probability of wind turbine sustainable islanding

Content Provider	IEEE Xplore Digital Library
Author	El-khattam, W.
Copyright Year	2009
Description	Author affiliation: Department of Electrical and Computer Engineering, University of Western Ontario, London, Ontario, N6A 5B9, Canada (El-khattam, W.)
Abstract	Local distribution companies (LDCs) aim at preventing sustainable islanding in their territories to protect electric equipments and the public. To contribute to the characterization of the LDC system, in this paper, the probability of sustainable islanding in an actual radial distribution system equipped with a large penetration of wind turbines (WTs) is explored to provide the worst case probability value based on demand-generation matching events. The impact of varying the load and the WTs power factors, as well as the WTs installed capacity on the probability value is investigated. Due to the uncertainty of wind characteristic variations and the WTs generation, actual demand power measurements were used along with a calculated WTs power generation based on actual wind characteristic measurements for three consecutive years. The calculated three years probability values were compared with a fourth-year probability estimated from actual installed WTs measurements. The obtained probability results are presented and discussed.
Starting Page	1
Ending Page	7
File Size	855347
Page Count	7
File Format	PDF
ISBN	9781424442416
ISSN	19449925
DOI	10.1109/PES.2009.5275599
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-07-26
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wind turbines Wind power generation Wind energy generation Power measurement Probability Protection Reactive power Capacity planning Character generation Power generation and wind turbine radial distribution systems sustainable islanding
Content Type	Text
Resource Type	Article

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