Title :
Application of genetic based fuzzy systems to hydroelectric generation scheduling
Author :
Huang, Shyh-Jier
Author_Institution :
Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
fDate :
9/1/1999 12:00:00 AM
Abstract :
An application of genetic based fuzzy systems to hydroelectric generation scheduling is presented in this paper. In the proposed approach, the system was fuzzified with respect to objectives and constraints. A genetic algorithm was included to further enhance the process of tuning membership functions. By this way, membership mappings for those important parameters can be optimally adjusted. The computational performance is thus improved. The proposed approach has been tested on the Taiwan Power System (Taipower) through the utility data. Test results have demonstrated the feasibility and effectiveness of the proposed approach for the applications
Keywords :
fuzzy systems; genetic algorithms; hydroelectric power stations; power generation planning; power generation scheduling; Taiwan; computational performance; constraints; genetic based fuzzy systems; hydroelectric generation scheduling; membership functions tuning process; membership mappings; objectives; Fuzzy systems; Genetic algorithms; Hydroelectric power generation; Hydroelectric-thermal power generation; Power generation; Power generation economics; Power systems; Processor scheduling; Reservoirs; Simulated annealing;
Journal_Title :
Energy Conversion, IEEE Transactions on
