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http://hdl.handle.net/10603/38611
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DC Field | Value | Language |
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dc.coverage.spatial | Investigations on application of Various evolutionary programming Techniques for optimal power flow Problem including facts and dg devices | en_US |
dc.date.accessioned | 2015-04-06T04:35:02Z | - |
dc.date.available | 2015-04-06T04:35:02Z | - |
dc.date.issued | 2015-04-06 | - |
dc.identifier.uri | http://hdl.handle.net/10603/38611 | - |
dc.description.abstract | newlineThe Optimal Power Flow OPF problem is a non linear newlineprogramming and highly constrained optimization problem The goal of OPF newlineis to find the optimal settings of a given power system network that optimizes newlinethe systems objective functions such as total generation cost system loss bus newlinevoltage deviation while satisfying its power flow equations system security newlineand equipment operating limits newlineWith the evolution of Flexible AC Transmission FACTS devices newlineit is made easy to control the power flow in a bus system FACTS devices newlinesuch as Thyristor Controlled Series Compensator TCSC Static VAr newlineCompensators SVC provides flexibility in control of real power and reactive newlinepower in transmission line The use of the FACTS device allows the newlinetransmission line to increase the voltage and stability limits newlineThis research work solves the Optimal Power Flow for fuel cost newlineminimization with the power flow constraints through effective application of newlineGravitational Search Algorithm GSA for OPF problem and optimal type newlinesizing and allocation of FACTS devices using Genetic Algorithm GA newlineconsidering the power flow equations as the equality constraints limits on the newlineactive and reactive power generations of the units and voltage magnitude newline newline | en_US |
dc.format.extent | xxv, 166p. | en_US |
dc.language | English | en_US |
dc.relation | p154-164. | en_US |
dc.rights | university | en_US |
dc.title | Investigations on application of Various evolutionary programming Techniques for optimal power flow Problem including facts and dg devices | en_US |
dc.title.alternative | en_US | |
dc.creator.researcher | Belwin edward J | en_US |
dc.subject.keyword | Flexible AC Transmission | en_US |
dc.subject.keyword | Genetic Algorithm | en_US |
dc.subject.keyword | Gravitational Search Algorithm | en_US |
dc.subject.keyword | Optimal Power Flow | en_US |
dc.subject.keyword | Static VAr Compensators | en_US |
dc.subject.keyword | Thyristor Controlled Series Compensator | en_US |
dc.description.note | appendix p147-153, reference p154-164. | en_US |
dc.contributor.guide | Rajaram M | 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 | 01/01/2014 | en_US |
dc.date.awarded | 30/01/2014 | 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 | |
---|---|---|---|---|
01_title.pdf | Attached File | 28.67 kB | Adobe PDF | View/Open |
02_certificate.pdf | 936.28 kB | Adobe PDF | View/Open | |
03_abstract.pdf | 9.84 kB | Adobe PDF | View/Open | |
04_acknowledgement.pdf | 5.59 kB | Adobe PDF | View/Open | |
05_content.pdf | 89.45 kB | Adobe PDF | View/Open | |
06_chapter1.pdf | 159.38 kB | Adobe PDF | View/Open | |
07_chapter2.pdf | 185.55 kB | Adobe PDF | View/Open | |
08_chapter3.pdf | 366.86 kB | Adobe PDF | View/Open | |
10_chapter5.pdf | 742.78 kB | Adobe PDF | View/Open | |
11_chapter6.pdf | 775.73 kB | Adobe PDF | View/Open | |
12_chapter7.pdf | 137.63 kB | Adobe PDF | View/Open | |
13_appendix.pdf | 301.76 kB | Adobe PDF | View/Open | |
14_reference.pdf | 602.28 kB | Adobe PDF | View/Open | |
15_publication.pdf | 36.92 kB | Adobe PDF | View/Open |
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