Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Fuzzy Control and Fuzzy Systems
Fuzzy Control and Fuzzy Systems
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This paper presents a fuzzy-genetic approach for reconfiguration of radial distribution systems (RDS) so as to maximize the voltage stability of the network for a specific set of loads. The function is chosen as the average of a voltage stability index of all the buses in the RDS. The fuzzy-genetic algorithm uses a suitable coding and decoding scheme for maintaining the radial nature of the network at every stage of genetic evolution and it also uses a fuzzy rule-based mutation controller for efficient search of the solution space. This method, tested on 69-bus system shows that the network losses are reduced when voltage stability is enhanced by network reconfiguration.