Application of genetic based fuzzy systems to hydroelectric generation scheduling
Journal Article
·
· IEEE Transactions on Energy Conversion (Institute of Electrical and Electronics Engineers)
OSTI ID:20001184
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 computation performance is thus improved. The proposed approach has been tested on Taiwan Power System (Taipower) through the utility data. Test results have demonstrated are feasibility and effectiveness of the proposed approach for the applications.
- Research Organization:
- National Cheng Kung Univ., Tainan (TW)
- OSTI ID:
- 20001184
- Journal Information:
- IEEE Transactions on Energy Conversion (Institute of Electrical and Electronics Engineers), Journal Name: IEEE Transactions on Energy Conversion (Institute of Electrical and Electronics Engineers) Journal Issue: 3 Vol. 14; ISSN 0018-9383; ISSN ITCNE4
- Country of Publication:
- United States
- Language:
- English
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