NDLI: Reliability oriented optimal displacement of conventional generators by using Particle Swarm Optimization

Content Provider	IEEE Xplore Digital Library
Author	Yingxun Zhou Lo, K.L.
Copyright Year	2008
Description	Author affiliation: Power Syst. Res. Group, Univ. of Strathclyde, Glasgow (Yingxun Zhou; Lo, K.L.)
Abstract	Major benefit expected from wind generation is reducing the consumption of fossil resources and consequentially reducing the emission of green-house gas. Such reduction is realized by having some of the conventional generators entirely displaced or part-loaded, the generation capacity is then replaced by wind. However, due to intermittent nature of wind energy, the displacement will reduce the reliable continuity of generation in the system. Particle swarm optimization (PSO) is applied in this research work to compute the optimal displacement allocation among the connected generators when the significant wind energy penetrates into the system to displace the conventional units. The objective function is the generation outage probability. It is expected that by applying PSO the optimal allocation of displaced amount can be found in the manner that it minimizes the effect to the system reliability.
Starting Page	1
Ending Page	8
File Size	421583
Page Count	8
File Format	PDF
ISBN	9780733427152
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-14
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Univ of New South Wales
Subject Keyword	Wind energy generation Wind energy Computational modeling Probability Linear programming Power system reliability Particle swarm optimization Power system modeling Power generation Capacity planning
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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