Network Flow Optimization by Genetic Algorithm and Load Flow Analysis by Newton Raphson Method in Power System
This thesis is the accumulation of our work on the Optimal Power Flow problem of Power system in the past one year. In this adventurous ride to our first ever step to scientific research we were greatly assisted by some very supportive and extremely sagacious persons in respective fields. We are...
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| Autors principals: | , , |
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| Format: | Other |
| Idioma: | anglès |
| Publicat: |
Military Institute of Science and Technology
2015
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| Matèries: | |
| Accés en línia: | http://hdl.handle.net/123456789/237 |
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| Sumari: | This thesis is the accumulation of our work on the Optimal Power Flow problem of
Power system in the past one year. In this adventurous ride to our first ever step to
scientific research we were greatly assisted by some very supportive and extremely
sagacious persons in respective fields. We are using this opportunity to express our
gratitude to everyone who supported us through the course of time.
First and Foremost, we have to thank our thesis supervisor, Dr. M. Shamim Kaiser,
Assistant Professor, Institute of Information Technology, Jahangirnagar University.
Without his kind assistance and dedicated involvement in every step throughout the
process, this paper would have never been accomplished. We would like to thank you
very much for your help and understanding over the past year.
In the same fashion, we are lucky to have Capt M Mahbubur Rahman (BN) and Gp
Capt Dr Hossam-E-Haider as the Dean, Faculty of Electrical and Computer
Science,MIST and Head of the Department, Department of EECE, respectively.
Getting through the dissertation required more than academic support. We cannot begin
to express our gratitude and appreciation to Mostafa Kamal Tareq, Hasib Ahmed
Majumdar, Oyickotan-E-Dilshad, Nurul Islam Shihab, who have been unwavering in
their personal and technical support during the time. We are thankful to everyone above
as well as Maj Saleh Ahmed (BA), Capt Shueb Al Hasan (BA), SLt Manzurul Alam (BN)
and SLt Nur Mohammad (BN) for their invaluably constructive criticism and friendly
advice regarding the thesis work. We are sincerely grateful to them for sharing their
truthful and illuminating views on a number of issues related to the thesis.
Last but not the least; we are indebted to our families for their continuous support
through the ups and downs. Words fall short to express our deep sense of gratitude for
their sincere encouragement and inspiration throughout the academic and nonacademic
life. We owe everything to them and without their assistance we could not
have come this far let alone completed this thesis work. This dissertation stands as a
testament to your unconditional love and encouragement. |
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