| dc.contributor.author |
Iftekher Ali, Fahmid |
|
| dc.contributor.author |
Monjurul Alam Rizvi, Md |
|
| dc.contributor.author |
Razuan Hossain, Md |
|
| dc.date.accessioned |
2015-12-01T04:20:12Z |
|
| dc.date.available |
2015-12-01T04:20:12Z |
|
| dc.date.issued |
2014-12 |
|
| dc.identifier.uri |
http://hdl.handle.net/123456789/237 |
|
| dc.description |
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. |
en_US |
| dc.description.abstract |
The optimal power flow within a system network is a pronounced problem now a day.
Basically power cannot be generated without considering the cost. Thereby it is always
necessary to keep a relation between the generation of power and the total system cost.
Here our objective is to simulate an objective function to get the optimum power flow
within the optimizing cost and also make a load flow analysis of the system.
There are a lot of techniques of optimization such as Classical optimization technique,
Advanced Optimization Techniques, Simulated annealing Techniques, Interior Point (IP)
method, Artificial Neural Network (ANN), Fuzzy Logic (FL) method, Genetic Algorithm
method etc. Also there are several methods of load flow analysis for example Fast
Decoupled Method, Newton Raphson Method, Bisection Method, Secant Method, False
Position method etc. Among of them we have chosen Genetic Algorithm method for
optimization and Newton Raphson Method for the load flow analysis.
By the approach of genetic algorithm we tried to find out per unit cost and the total cost
of the 9 bus system. And here we also have taken an approach to find out the load flow
analysis by simulation of a program where we have shown generation, injection in the
buses and also the system losses etc. Both the methodological techniques were
simulated in the MATLAB. |
en_US |
| dc.description.sponsorship |
Department of Electrical, Electronic and Communication Engineering
Military Institute of Science and Technology |
en_US |
| dc.language.iso |
en |
en_US |
| dc.publisher |
Military Institute of Science and Technology |
en_US |
| dc.subject |
Network Flow. Optimization, Genetic Algorithm, Load Flow Analysis, Newton Raphson Method, Power System |
en_US |
| dc.title |
Network Flow Optimization by Genetic Algorithm and Load Flow Analysis by Newton Raphson Method in Power System |
en_US |
| dc.type |
Other |
en_US |
