TY - JOUR
T1 - Generator maintenance scheduling
T2 - A fuzzy system approach with genetic enhancement
AU - Huang, Shyh Jier
N1 - Funding Information:
The author would like to express his thanks for the financial support given by the National Science Council of the Republic of China under contract number NSC86-2213-E-214-010 and the technical support from Taiwan Power Company.
PY - 1997/6
Y1 - 1997/6
N2 - A fuzzy system approach with genetic enhancement that has been applied to generator maintenance scheduling is presented in this paper. In the proposed approach, the fuzzy system was formulated with respect to multiple objectives and soft constraints. This includes a formulation process that was enhanced with a genetic search for tuning membership functions in the fuzzy sets. By this way, those parameters related to membership functions can be optimally adjusted. The computational performance is also improved. The proposed approach has been tested on a practical Taiwan Power system (Taipower) through the utility data. The results demonstrate the feasibility and effectiveness of the approach for generator maintenance scheduling applications.
AB - A fuzzy system approach with genetic enhancement that has been applied to generator maintenance scheduling is presented in this paper. In the proposed approach, the fuzzy system was formulated with respect to multiple objectives and soft constraints. This includes a formulation process that was enhanced with a genetic search for tuning membership functions in the fuzzy sets. By this way, those parameters related to membership functions can be optimally adjusted. The computational performance is also improved. The proposed approach has been tested on a practical Taiwan Power system (Taipower) through the utility data. The results demonstrate the feasibility and effectiveness of the approach for generator maintenance scheduling applications.
UR - https://www.scopus.com/pages/publications/0031164204
UR - https://www.scopus.com/pages/publications/0031164204#tab=citedBy
U2 - 10.1016/s0378-7796(96)01194-7
DO - 10.1016/s0378-7796(96)01194-7
M3 - Article
AN - SCOPUS:0031164204
SN - 0378-7796
VL - 41
SP - 233
EP - 239
JO - Electric Power Systems Research
JF - Electric Power Systems Research
IS - 3
ER -