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Content Provider | IEEE Xplore Digital Library |
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Author | Karki, B. Billinton, R. Karki, R. Gokaraju, R. |
Copyright Year | 2008 |
Description | Author affiliation: Power Syst. Res. Group, Univ. of Saskatchewan, Saskatoon, SK, Canada (Karki, B.; Billinton, R.; Karki, R.; Gokaraju, R.) |
Abstract | Wind power is a valuable renewable source of electrical energy. Due to its stochastic nature, wind power is usually considered as an energy source rather than as a power contributor to the system generating capacity. Worldwide installation of wind power is expected to continue to grow in the coming years. It is therefore necessary to recognize the operating capacity value of the added wind power. This paper presents an approach to predicting short term wind speed distributions that can be used in a probabilistic analysis of the unit commitment risk. The development of performance indices such as the Peak Load Carrying Capability (PLCC) and the PLCC benefit ratio in wind integrated power systems is demonstrated using two published test systems. |
Starting Page | 1 |
Ending Page | 8 |
File Size | 378933 |
Page Count | 8 |
File Format | |
ISBN | 9781424442836 |
DOI | 10.1109/NAPS.2008.5307339 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2008-09-28 |
Publisher Place | Canada |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Power systems Wind energy Wind energy generation Power generation Power system interconnection Power system modeling Capacity planning System testing Power system reliability Power system planning Peak Load Carrying Capability benefit ratio Operating capacity risk assessment wind power probability models Load Carrying Capability |
Content Type | Text |
Resource Type | Article |
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