원문정보
보안공학연구지원센터(IJSEIA)
International Journal of Software Engineering and Its Applications
Vol.5 No.1
2011.01
pp.39-50
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
This paper concerns the Optimal Power Flow [OPF] in multi machine Power System with UPFC using Genetic Algorithm [GA]. The objective is to minimize the cost of the power system, to enhance the power flow in transmission lines and to maintain the voltages at the buses using UPFC. Using the proposed method, the optimal cost and real power losses of the power system with UPFC is achieved by developing a simple Genetic Algorithm and the location and rating of UPFC is also achieved by Newton Raphson’s load flow method. IEEE 9 bus system has been studied to show the effectiveness.
목차
Abstract
1. Introduction
2. Static Model of UPFC
3. Cost function
3.1 Generation cost function
3.2 Investment costs function of FACTS devices
4. Optimal Power Flow with UPFC
5. Algorithm for Optimal Power Flow with UPFC
5.1. Encoding
5.2. Initial Population
5.3. Decoding
5.4. Fitness function
5.5. Reproduction
5.6. Crossover
5.7. Mutation
6. Results
7. Conclusions
References
1. Introduction
2. Static Model of UPFC
3. Cost function
3.1 Generation cost function
3.2 Investment costs function of FACTS devices
4. Optimal Power Flow with UPFC
5. Algorithm for Optimal Power Flow with UPFC
5.1. Encoding
5.2. Initial Population
5.3. Decoding
5.4. Fitness function
5.5. Reproduction
5.6. Crossover
5.7. Mutation
6. Results
7. Conclusions
References
키워드
저자정보
참고문헌
자료제공 : 네이버학술정보