DocumentCode
3485344
Title
Research on multi-objective optimum model of unit maintenance scheduling under the condition of electricity market
Author
Peng, Wang ; Rui, Ma ; Tao, Xu ; Huachun, Yang ; Renmu, He
Author_Institution
Sch. of Electr. Eng., North China Electr. Power Univ., Beijing, China
Volume
1
fYear
2004
fDate
5-8 April 2004
Firstpage
196
Abstract
The authority of unit maintenance scheduling belongs to PX and not to each generates company in China electricity market. It is a considerable problem for PX to make maintenance scheduling to play fair, to balance the declaring demand between generate companies and to undertake the reliability of grid. The benefit bodies classify into n+2 kinds: n generate companies, the grid company and "society". According to this analysis, the maintenance scheduling model is represented as multi-objective optimum problem. The objects are so much that the mathematics solution is difficult. If weighting average method is adapted to shift these to single object, the physical meaning of the weighting is not clear. On the basis of analyzing the gain and loss of all economic entities, n+2 objective functions are changed to 2 objective functions and weighting average method is adapted to realize the single objective function optimum. The physical meaning of the weighting is explained as the compromise between the efficiency and fair.
Keywords
maintenance engineering; power generation economics; power generation reliability; power generation scheduling; power markets; electricity market; multiobjective optimum model; unit maintenance scheduling; weighting average method; Economic forecasting; Electricity supply industry; Maintenance; Mesh generation; Power generation; Power generation economics; Power system economics; Power system management; Power system planning; Power system reliability;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Utility Deregulation, Restructuring and Power Technologies, 2004. (DRPT 2004). Proceedings of the 2004 IEEE International Conference on
Print_ISBN
0-7803-8237-4
Type
conf
DOI
10.1109/DRPT.2004.1338492
Filename
1338492
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