원문정보
보안공학연구지원센터(IJGDC)
International Journal of Grid and Distributed Computing
Vol.9 No.7
2016.07
pp.33-42
피인용수 : 0건 (자료제공 : 네이버학술정보)
목차
Abstract
1. Introduction
2. Distribution Network Containing Distributed Generation
2.1 The Influence of Distributed Generation Access on Fault Location
2.2 Fault Function of Distribution Network with Distributed Generation
3. RBF Neural Network Theory
3.1 RBF Neural Network Structure
3.2 Network Parameters of Learning Algorithm
4. RBF Network Training based on Improved Genetic Algorithm
4.1 Determination of Fitness Function
4.2 Replication and Selection Operation
4.3. Adaptive Crossover Operation
4.4. Non-uniform Adaptive Mutation Operation
4.5. Algorithm Implementation
5. Test System Description and Results Analysis
6. Conclusion
Acknowledgments
References
1. Introduction
2. Distribution Network Containing Distributed Generation
2.1 The Influence of Distributed Generation Access on Fault Location
2.2 Fault Function of Distribution Network with Distributed Generation
3. RBF Neural Network Theory
3.1 RBF Neural Network Structure
3.2 Network Parameters of Learning Algorithm
4. RBF Network Training based on Improved Genetic Algorithm
4.1 Determination of Fitness Function
4.2 Replication and Selection Operation
4.3. Adaptive Crossover Operation
4.4. Non-uniform Adaptive Mutation Operation
4.5. Algorithm Implementation
5. Test System Description and Results Analysis
6. Conclusion
Acknowledgments
References
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자료제공 : 네이버학술정보