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Article:Artificial Bee Colony Algorithm to Generator Maintenance Scheduling in Competitive Market

by R. Anandhakumar, S. Subramanian, S. Ganesan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 31 - Number 9
Year of Publication: 2011
Authors: R. Anandhakumar, S. Subramanian, S. Ganesan
10.5120/3856-5374

R. Anandhakumar, S. Subramanian, S. Ganesan . Article:Artificial Bee Colony Algorithm to Generator Maintenance Scheduling in Competitive Market. International Journal of Computer Applications. 31, 9 ( October 2011), 44-53. DOI=10.5120/3856-5374

@article{ 10.5120/3856-5374,
author = { R. Anandhakumar, S. Subramanian, S. Ganesan },
title = { Article:Artificial Bee Colony Algorithm to Generator Maintenance Scheduling in Competitive Market },
journal = { International Journal of Computer Applications },
issue_date = { October 2011 },
volume = { 31 },
number = { 9 },
month = { October },
year = { 2011 },
issn = { 0975-8887 },
pages = { 44-53 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume31/number9/3856-5374/ },
doi = { 10.5120/3856-5374 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:17:44.890801+05:30
%A R. Anandhakumar
%A S. Subramanian
%A S. Ganesan
%T Article:Artificial Bee Colony Algorithm to Generator Maintenance Scheduling in Competitive Market
%J International Journal of Computer Applications
%@ 0975-8887
%V 31
%N 9
%P 44-53
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper proposes an Artificial Bee Colony (ABC) algorithm to Generator Maintenance Scheduling (GMS) in competitive market. In the regulated market the problem of generating optimal maintenance schedules of generating units for the purpose of maximizing economic benefits and improving reliable operation of a power system, subject to satisfying system constraints. In case of deregulated market, the self-governing generation company GENCO prepares GMS aims to maximize their revenue with less consideration on reliability. The Independent System Operator (ISO) receives the maintenance schedules from GENCO and compares with ISO schedules for sanction. This paper proposes an ABC algorithm to solve the GMS in GENCO to maximize their revenue without considering expected renewal cost. Numerical examples on 4 and 32 unit power producers are utilized to demonstrate the effectiveness of the proposed ABC algorithm.

References
  1. Wood, A.J. and Wollenberg, B.F. 1996. Power generation operation and control. 2nd edn, Wiley, New York.
  2. Wang, X and Mcdonald, J.R. 1994. Modern power system planning. McGraw-Hill, London.
  3. Mukerji, R., Merrill, H. M., Erickson, B.W. and Parker, J.H. 1991. Power plant maintenance scheduling: Optimizing economics and reliability. IEEE Trans. Power Systems. 6, 476-483.
  4. Satoh, T. and Nara, K. 1991. Maintenance scheduling by using simulated annealing method. IEEE Trans. Power Systems. 6, 850-857.
  5. Wang, Y. and Handschin, E. 2000. A new genetic algorithm for preventive unit maintenance scheduling of power systems. Int. J. Electrical Power. Energy Systems. 22, 343-348.
  6. Ibrahim El-Amin, Duffuaa, S. and Abbas, M. 2000. A Tabu search algorithm for maintenance scheduling of generating units. Electric Power Systems Research. 54, 91- 99.
  7. Yare, Y., Venayagamoorthy, G.K. and Aliyu, U.O. 2008. Optimal generator maintenance scheduling using a modified discrete PSO. IET Generation Transmission Distribution. 2, 834-846.
  8. Marwali, M.K.C. and Shahidehpour, S.M. 1999. Long-term transmission and generation maintenance scheduling with network, fuel and emission constraints. IEEE Trans. power systems.14, 3, 1160-1165.
  9. Billinton, R. and Abdulwhab, A. 2003. Short-term generating unit maintenance scheduling in a deregulated power system using a probabilistic approach. IEE Proc. Generation, Transmission and Distribution. 150, 4, 463-468.
  10. Roy Billinton and Ran Mo. 2005. Composite system maintenance coordination in a deregulated environment. IEEE Trans. power systems. 20, 1, 485-492.
  11. Jin-Ho Kim, Jong-Bae Park, Jong-Keun Park, and Kim Balho H. 2003. A new game – theoretic framework for maintenance strategy analysis. IEEE Trans. power systems. 18, 2, 698-706.
  12. Lei Wu, Mohammad Shahidehpour, and Tao Li. 2008. GENCO’s risk-based maintenance outage scheduling. IEEE Trans. power systems. 23, 1, 127-136.
  13. Lu, G., Chung, C.Y., Wong, K.P. and Wen, F. 2008. Unit maintenance scheduling coordination mechanism in electricity market environment. IET Generation, Transmission Distribution. 2, 5, 646-654.
  14. Hemantkumar Barot and Kankar Bhattacharya. 2008. Security coordinated maintenance scheduling in deregulation based on genco contribution to unserved energy. IEEE Trans. Power Systems. 23, 4, 1871-1882.
  15. Eshraghnia, R., Modir Shanechi, M.H. and Rajabi Mashhadi. 2006. Generation maintenance scheduling in power market based on genetic algorithm. IEEE PES, Power Systems Conference and Exposition (PSCE). 1814- 1819.
  16. Feng1, C., Wang1, X. and Li2, F. 2009. Optimal maintenance scheduling of power producers considering unexpected unit failure. IET Generation, Transmission Distribution. 3, 5, 460-471.
  17. Changyou Feng and Xifan Wang. 2010. A competitive mechanism of unit maintenance scheduling in a deregulated environment. IEEE Trans. power systems. 25, 1, 351-359.
  18. Karaboga, D. and Basturk, B. 2008. On the performance of Artificial Bee Colony (ABC) Algorithm. Applied Soft Computing. 8, 687-697.
  19. Changsheng, Z., Dantong, O. and Jiaxu, N. 2010. An artificial bee colony approach for clustering. Expert Systems with Applications. 37, 4761-4767.
  20. Bilal, A. 2010. Chaotic bee colony algorithms for global numerical optimization. Expert Systems with Applications. 37, 5682-5687.
  21. Sabat, S.L., Udgata, S.K. and Abraham, A. 2010. Artificial bee colony algorithm for small signal model , Engineering Applications of Artificial Intelligence. 23, 689-694.
Index Terms

Computer Science
Information Sciences

Keywords

Deregulation generator maintenance scheduling artificial bee colony algorithm generation scheduling market clearing price

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