Title :
A Rule-Based Genetic Algorithm for the Inter-Feeder Load Transfer in the Multiple Outages of Electrical Distribution Systems
Author :
Wu, Jaw-shyang ; Lee, T.E. ; Lin, Yi-Jiun
Author_Institution :
Tajen Univ., Pingtung
Abstract :
In electrical distribution systems multiple outages are usually occurred in severe weather conditions and the out-of-service areas should be restored as soon as possible. This paper presents an application of evolutionary algorithm that is effectively improved by heuristic rules to find the optimal scheme of multiple-objective problem of inter-feeder load transfer in the cases of multiple outages. Constraints of discrete radial feeder configuration, nonlinear time-variant load patterns, voltage drop, and feeder current rating are considered in the problem. The effectiveness of the proposed approach is demonstrated by conducting the simulation of a practical distribution system in Taiwan power distribution system.
Keywords :
genetic algorithms; power distribution faults; Taiwan power distribution system; discrete radial feeder configuration constraints; electrical distribution system outages; evolutionary algorithm; feeder current rating; heuristic rules; inter-feeder load transfer; multiple-objective problem; nonlinear time-variant load patterns; out-of-service areas; rule-based genetic algorithm; severe weather conditions; voltage drop; Circuit faults; Convergence; Databases; Evolutionary computation; Fault diagnosis; Genetic algorithms; Genetic mutations; Power distribution; Power system restoration; Voltage;
Conference_Titel :
Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
Conference_Location :
Kumamoto
Print_ISBN :
0-7695-2882-1
DOI :
10.1109/ICICIC.2007.85