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2008 Eighth International Conference on Intelligent Systems Design and Applications
A New Algorithm for Power System Scheduling Problems
November 26-November 28
ISBN: 978-0-7695-3382-7
| ASCII Text | x | ||
| Huo-Ching Sun, Yann-Chang Huang, Kun-Yuan Huang, "A New Algorithm for Power System Scheduling Problems," Intelligent Systems Design and Applications, International Conference on, vol. 1, pp. 36-40, 2008 Eighth International Conference on Intelligent Systems Design and Applications, 2008. | |||
| BibTex | x | ||
| @article{ 10.1109/ISDA.2008.200, author = {Huo-Ching Sun and Yann-Chang Huang and Kun-Yuan Huang}, title = {A New Algorithm for Power System Scheduling Problems}, journal ={Intelligent Systems Design and Applications, International Conference on}, volume = {1}, year = {2008}, isbn = {978-0-7695-3382-7}, pages = {36-40}, doi = {http://doi.ieeecomputersociety.org/10.1109/ISDA.2008.200}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Intelligent Systems Design and Applications, International Conference on TI - A New Algorithm for Power System Scheduling Problems SN - 978-0-7695-3382-7 SP36 EP40 A1 - Huo-Ching Sun, A1 - Yann-Chang Huang, A1 - Kun-Yuan Huang, PY - 2008 VL - 1 JA - Intelligent Systems Design and Applications, International Conference on ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ISDA.2008.200
This paper presents a parallel-refined simulated annealing (PRSA) approach for the generator maintenance scheduling (GMS) problem to maximize profit objective function. The merit of simulated annealing (SA) is preserved and the deficiency is pruned away in the proposed PRSA. The proposed PRSA is an effective method because the multiple search trajectories parallel and refined in each stage. The near optimal solution for each trajectory in current state can be derived from the local optimal solutions by using the parallel optimization process. The proposed parallel searching strategy can obtain optimal or near-optimal solution for the GMS problem. This paper has demonstrated the effectiveness and feasibility of applying the proposed approach for the 50-unit GMS problem.
Citation:
Huo-Ching Sun, Yann-Chang Huang, Kun-Yuan Huang, "A New Algorithm for Power System Scheduling Problems," isda, vol. 1, pp.36-40, 2008 Eighth International Conference on Intelligent Systems Design and Applications, 2008
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