Title :
Evolutionary programming-based maintenance scheduling of power generating units
Author :
El-Sharkh, M.Y. ; El-Keib, A.A. ; Choi, J. ; Elagtal, I.
Author_Institution :
Dept. of Electr. & Comput. Eng., Alabama Univ., Tuscaloosa, AL
Abstract :
This paper presents an evolutionary programming (EP)-based technique to solve for the optimal maintenance schedule (MS) of power generating units. The proposed technique decomposes the maintenance model into two interrelated subproblems namely; the maintenance and the power system subproblems. The paper reports test results on IEEE 30-bus system with 6 generating units. Compared with the results obtained using the method of complementary decision variables (CDV) structure, test results using the proposed technique are encouraging and indicate improvement
Keywords :
evolutionary computation; maintenance engineering; power generation scheduling; complementary decision variables; evolutionary programming; maintenance scheduling; optimal maintenance schedule; power generating units; Costs; Dynamic programming; Genetic programming; Linear programming; Maintenance; Power generation; Power system modeling; Power transmission lines; Production; Reliability;
Conference_Titel :
Probabilistic Methods Applied to Power Systems, 2004 International Conference on
Print_ISBN :
0-9761319-1-9
