Abstract
An optimal preventive generator maintenance scheduling (GMS) in a smart grid environment comprising wind-hydrothermal energy resources is presented in this paper. GMS problem is solved with the aim of maximizing economic benefits subject to satisfying system constraints. This GMS formulation becomes a challenging problem because of the variability and intermittency of wind speed and the incorporation of uncertainty in wind generation. the objective is to perform preventive GMS in such a manner that the annual generation cost is minimized, the annual cost saving is increased while all operating constraints are satisfied in the presence of uncertainty in wind generation. Discrete modified particle swarm optimization (MPSO-D) algorithm is used to solve this problem. the results presented on a typical Nigerian power system show the potential and benefits obtainable from increasing wind power penetration. ©2010 IEEE.
Recommended Citation
Y. Yare and G. K. Venayagamoorthy, "GMS Considering Uncertainty in Wind Power in a Wind-hydrothermal Power System," IEEE PES General Meeting, PES 2010, article no. 5589802, Institute of Electrical and Electronics Engineers, Dec 2010.
The definitive version is available at https://doi.org/10.1109/PES.2010.5589802
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Cost saving; Economic cost function; Generator maintenance scheduling; Smart grid; Uncertainty in wind generation
International Standard Book Number (ISBN)
978-142448357-0
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
06 Dec 2010
