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http://hdl.handle.net/10603/37825
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DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Joint optimization of radial distribution Network through hybrid fuzzy and Opposition based differential Evolution algorithm | en_US |
dc.date.accessioned | 2015-03-23T08:13:13Z | - |
dc.date.available | 2015-03-23T08:13:13Z | - |
dc.date.issued | 2015-03-23 | - |
dc.identifier.uri | http://hdl.handle.net/10603/37825 | - |
dc.description.abstract | Power distribution networks are built as interconnected systems newlineThey are constructed by one of the three types radial open loop and network newlineThey are usually arranged to be radial in operation to simplify over current newlineProtection Usually distribution systems are designed to be most efficient at newlinepeak load demand Utilities are constantly looking for newer technologies that newlineenhance power delivery performance One of the several important issues is newlinethe control of power loss newlineSeveral strategies can be employed to minimize power losses in a newlinedistribution network They are feeder reconfiguration inclusion of capacitor newlinebanks placement of AVRs placement of DSTATCOM balancing of newlinedistribution system etc Generally different methods have been used for newlinedistribution system optimization with common objective of loss reduction newlineFeeder reconfiguration and Capacitor Placement are the two popular methods newlinein vogue to reduce the power losses and to improve voltage at the buses of the newlinefeeder newlineThe reconfiguration of a distribution system is a process which newlinealters the feeder topological structure by changing the open close status of the newlineswitches in the distribution system Mostly reconfiguration guarantees the newlineloss reduction regardless of the characteristics of the distribution system newline newline | en_US |
dc.format.extent | xxviii, 173p. | en_US |
dc.language | English | en_US |
dc.relation | p163-172. | en_US |
dc.rights | university | en_US |
dc.title | Joint optimization of radial distribution Network through hybrid fuzzy and Opposition based differential Evolution algorithm | en_US |
dc.title.alternative | en_US | |
dc.creator.researcher | Muthukumar R | en_US |
dc.subject.keyword | Capacitor Placement | en_US |
dc.subject.keyword | Power delivery performance | en_US |
dc.subject.keyword | Power distribution networks | en_US |
dc.description.note | reference p163-172. | en_US |
dc.contributor.guide | Thanushkodi K | en_US |
dc.publisher.place | Chennai | en_US |
dc.publisher.university | Anna University | en_US |
dc.publisher.institution | Faculty of Electrical and Electronics Engineering | en_US |
dc.date.registered | n.d. | en_US |
dc.date.completed | 01/10/2014 | en_US |
dc.date.awarded | 30/10/2014 | en_US |
dc.format.dimensions | 23cm | en_US |
dc.format.accompanyingmaterial | None | en_US |
dc.source.university | University | en_US |
dc.type.degree | Ph.D. | en_US |
Appears in Departments: | Faculty of Electrical and Electronics Engineering |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 36.37 kB | Adobe PDF | View/Open |
02_certificate.pdf | 920.09 kB | Adobe PDF | View/Open | |
03_abstract.pdf | 24.65 kB | Adobe PDF | View/Open | |
04_acknowledgement.pdf | 26.67 kB | Adobe PDF | View/Open | |
05_content.pdf | 75.63 kB | Adobe PDF | View/Open | |
06_chapter1.pdf | 202.12 kB | Adobe PDF | View/Open | |
07_chapter2.pdf | 570.54 kB | Adobe PDF | View/Open | |
08_chapter3.pdf | 311.38 kB | Adobe PDF | View/Open | |
09_chapter4.pdf | 533.39 kB | Adobe PDF | View/Open | |
10_chapter5.pdf | 385.72 kB | Adobe PDF | View/Open | |
11_chapter6.pdf | 83.32 kB | Adobe PDF | View/Open | |
12_chapter7.pdf | 18.83 kB | Adobe PDF | View/Open | |
13_reference.pdf | 274.76 kB | Adobe PDF | View/Open | |
14_publication.pdf | 31.93 kB | Adobe PDF | View/Open |
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