Application of genetic based fuzzy systems to hydroelectric generation scheduling

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.