Network Flow Optimization by Genetic Algorithm and Load Flow Analysis by Newton Raphson Method in Power System

Iftekher Ali, Fahmid; Monjurul Alam Rizvi, Md; Razuan Hossain, Md

Network Flow Optimization by Genetic Algorithm and Load Flow Analysis by Newton Raphson Method in Power System

Date

2014-12

Authors

Iftekher Ali, Fahmid

Monjurul Alam Rizvi, Md

Razuan Hossain, Md

Publisher

Military Institute of Science and Technology

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.

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.