1999 Volume 11 Issue 6 Pages 1098-1106
Distribution system loss minimization problem is to accomplish an optimal loss reduction of power distribution system by changing the open/closed states of the sectionalizing switches. This problem is a combinatorial optimization problem, and the number of possible system configurations is extremely huge in practical applications. For this problem, we have already proposed a method based on genetic algorithms(GA), in which the number of infeasible offsprings generated in genetic operations can be decreased, considering four necessary conditions of feasible solutions. However, when the method is applied to large-scale problems, it has a tendency to decrease the probability of obtaining optimal solution. In this paper, we introduce dynamic parameter adaptation technique into our method described above. A variety of genetic parameters, such as crossover rate, mutation rate, and population size, can be automatically tuned by means of fuzzy reasoning rules for the purpose of effective searching in solution space. Experimental results are shown to demonstrate that the proposed method can also solve practical large-scale problems effectively.
