A Profit-Based Maintenance Scheduling of Thermal Power Units in Electricity Market
This paper presents one comprehensive modelling approach for maintenance scheduling problem of thermal power units in competitive market. This problem is formulated as a 0/1 mixedinteger linear programming model. Model incorporates long-term bilateral contracts with defined profiles of power and price, and weekly forecasted market prices for market auction. The effectiveness of the proposed model is demonstrated through case study with detailed discussion.
[1] K. W. Edwin and F. Curtius, "New maintenance scheduling method with
production cost minimization via integer linear programming ",
International Journal of Electric Power and Energy Systems, Vol. 12,
pp. 165-170, 1990.
[2] L. Chen and J. Toyoda, "Optimal generating unit maintenance
scheduling for multi-area system with network constraints", IEEE
Transactions on Power Systems, Vol. 6, No. 3, pp. 1168-1174, August
1991.
[3] M. K. C. Marwali and S. M. Shahidehpour, "Long-term transmission and
generation maintenance scheduling with network, fuel and emission
constraints", IEEE Transactions on Power Systems, Vol. 14, No. 3, pp.
1160-1165, August 1999.
[4] M. K. C. Marwali and S. M. Shahidehpour, "Integrated generation and
transmission maintenance scheduling with network constraints", IEEE
Transactions on Power Systems, Vol. 13, No. 3, pp. 1063-1068, August
1998.
[5] L. M. Moro and A. Ramos, "Goal programming approach to
maintenance scheduling of generating units in large scale power
systems", IEEE Transactions on Power Systems, Vol. 14, No. 3, pp.
1021-1028, August 1999.
[6] K. P. Dahal, C. J. Aldridge and J. R. McDonald, "Generator maintenance
scheduling using genetic algorithm with a fuzzy evaluation function",
ELSEVIER, Fuzzy Sets and Systems, No. 102, pp. 21-29, 1999.
[7] E. K. Burke, J. A. Clarke and A. J. Smith, "Four methods for
maintenance scheduling", in G. D. Smith, N. C. Steele and R. Albrecht
(eds.) Proceedings of Third International Conference Artifical Neural
Nets and Genetic Algorithms (ICANNGA '97), Springer-Varlag, pp.
265-270, Vienna, 1998.
[8] K. P. Dahal, G. M. Burt, J. R. McDonald and S. J. Galloway, "GA/SA
based hybrid techniques for the scheduling of generator maintenance in
power systems", Proceedings of Congress of Evolutionary Computation
(CEC2000), pp. 567-574, San Diego, USA, 2000.
[9] E. K. Burke and A. J. Smith, "Hybrid Evolutionary Techniques for the
Maintenance. Scheduling Problem", IEEE Transactions on Power
Systems, Vol. 15, No. 1, pp. 122-128, February 2000.
[10] I. El-Amin, S. Duffuaa and M. Abbas, "A tabu search algorithm for
maintenance scheduling of generating units", ELSEVIER, Electric
Power Systems Research, Vol. 54, No. 2, pp. 91-99, 2000.
[11] J. Sugimoto, H. Tajima, S. Machi, R. Yokoyama and V. V. R. Silva,
"Profit-based thermal unit maintenance scheduling under price volatility
in competitive environment", International Conference on Intelligent
Systems and Control - ISC, Cambridge, USA, October-November, 2005.
[12] H. S. Kim, S. P. Moon, J. S. Choi, S. Y. Lee, D. H. Do and M. M. Gupta,
"Generator maintenance scheduling considering air pollution based on
the fuzzy theory", IEEE International Fuzzy Systems Conference
Proceedings, Vol. III, pp. 1759-1764, Seoul, Korea, August 1999.
[13] H. S. Kim and J. S. Choi, "Development of a method for flexibile
generator maintenance scheduling using the fuzzy theory", Proceedings
of Asia Fuzzy System Symposium (AFSS2000), Tsukuba, Japan, May-
June, 2000.
[14] H. H. Zurn and V. H. Quintana, "Several objective criteria for optimal
generator preventive maintenance", IEEE Transactions on Power
Apparatus and Systems, Vol. PAS-96, No. 3, pp. 984-992, May/June
1977.
[15] M. Shahidehpour, H. Yamin and Z. Li, Market operations in electric
power systems: Forecasting, scheduling and risk management, First ed.,
New York, NY: John Wiley & Sons, 2002.
[16] A. J. Conejo, R. Bertrand and M. D. Salazar, "Generation maintenance
scheduling in restructured power systems", IEEE Transactions on Power
Systems, Vol. 20, No. 2, pp. 984-992, May 2005.
[17] R. Eshraghnia, M. H. M. Shanechi and H. R. Mashhadi, "A new
approach for maintenance scheduling of generating units in power
market", 9th International Conference on Probabilistic Methods Applied
to Power Systems, KTH, Stockholm, Sweden, June 2006.
[18] S. Bisanovic, M. Hajro, M. Dlakic, "Hydrothermal self-scheduling
problem in a day-ahead electricity market", Electric Power Systems
Research, Vol. 78, No. 9, pp 1579-1596.
[19] S. El Khatib and F. D. Galiana, "Negotiating bilateral contracts in
electricity markets", IEEE Transactions on Power Systems, Vol. 22, No.
2, pp. 553-562, May 2007.
[20] E. D. Andersen and K. D. Andersen, "The MOSEK interior point
optimizer for linear programming: An implementation of the
homogeneous algorithm", in H. Frenk, K. Roos, T. Terlaky, and S.
Zhang, editors, High Performance Optimization, pp 197-232, Kluwer
Academic Publishers, 2000.
[1] K. W. Edwin and F. Curtius, "New maintenance scheduling method with
production cost minimization via integer linear programming ",
International Journal of Electric Power and Energy Systems, Vol. 12,
pp. 165-170, 1990.
[2] L. Chen and J. Toyoda, "Optimal generating unit maintenance
scheduling for multi-area system with network constraints", IEEE
Transactions on Power Systems, Vol. 6, No. 3, pp. 1168-1174, August
1991.
[3] M. K. C. Marwali and S. M. Shahidehpour, "Long-term transmission and
generation maintenance scheduling with network, fuel and emission
constraints", IEEE Transactions on Power Systems, Vol. 14, No. 3, pp.
1160-1165, August 1999.
[4] M. K. C. Marwali and S. M. Shahidehpour, "Integrated generation and
transmission maintenance scheduling with network constraints", IEEE
Transactions on Power Systems, Vol. 13, No. 3, pp. 1063-1068, August
1998.
[5] L. M. Moro and A. Ramos, "Goal programming approach to
maintenance scheduling of generating units in large scale power
systems", IEEE Transactions on Power Systems, Vol. 14, No. 3, pp.
1021-1028, August 1999.
[6] K. P. Dahal, C. J. Aldridge and J. R. McDonald, "Generator maintenance
scheduling using genetic algorithm with a fuzzy evaluation function",
ELSEVIER, Fuzzy Sets and Systems, No. 102, pp. 21-29, 1999.
[7] E. K. Burke, J. A. Clarke and A. J. Smith, "Four methods for
maintenance scheduling", in G. D. Smith, N. C. Steele and R. Albrecht
(eds.) Proceedings of Third International Conference Artifical Neural
Nets and Genetic Algorithms (ICANNGA '97), Springer-Varlag, pp.
265-270, Vienna, 1998.
[8] K. P. Dahal, G. M. Burt, J. R. McDonald and S. J. Galloway, "GA/SA
based hybrid techniques for the scheduling of generator maintenance in
power systems", Proceedings of Congress of Evolutionary Computation
(CEC2000), pp. 567-574, San Diego, USA, 2000.
[9] E. K. Burke and A. J. Smith, "Hybrid Evolutionary Techniques for the
Maintenance. Scheduling Problem", IEEE Transactions on Power
Systems, Vol. 15, No. 1, pp. 122-128, February 2000.
[10] I. El-Amin, S. Duffuaa and M. Abbas, "A tabu search algorithm for
maintenance scheduling of generating units", ELSEVIER, Electric
Power Systems Research, Vol. 54, No. 2, pp. 91-99, 2000.
[11] J. Sugimoto, H. Tajima, S. Machi, R. Yokoyama and V. V. R. Silva,
"Profit-based thermal unit maintenance scheduling under price volatility
in competitive environment", International Conference on Intelligent
Systems and Control - ISC, Cambridge, USA, October-November, 2005.
[12] H. S. Kim, S. P. Moon, J. S. Choi, S. Y. Lee, D. H. Do and M. M. Gupta,
"Generator maintenance scheduling considering air pollution based on
the fuzzy theory", IEEE International Fuzzy Systems Conference
Proceedings, Vol. III, pp. 1759-1764, Seoul, Korea, August 1999.
[13] H. S. Kim and J. S. Choi, "Development of a method for flexibile
generator maintenance scheduling using the fuzzy theory", Proceedings
of Asia Fuzzy System Symposium (AFSS2000), Tsukuba, Japan, May-
June, 2000.
[14] H. H. Zurn and V. H. Quintana, "Several objective criteria for optimal
generator preventive maintenance", IEEE Transactions on Power
Apparatus and Systems, Vol. PAS-96, No. 3, pp. 984-992, May/June
1977.
[15] M. Shahidehpour, H. Yamin and Z. Li, Market operations in electric
power systems: Forecasting, scheduling and risk management, First ed.,
New York, NY: John Wiley & Sons, 2002.
[16] A. J. Conejo, R. Bertrand and M. D. Salazar, "Generation maintenance
scheduling in restructured power systems", IEEE Transactions on Power
Systems, Vol. 20, No. 2, pp. 984-992, May 2005.
[17] R. Eshraghnia, M. H. M. Shanechi and H. R. Mashhadi, "A new
approach for maintenance scheduling of generating units in power
market", 9th International Conference on Probabilistic Methods Applied
to Power Systems, KTH, Stockholm, Sweden, June 2006.
[18] S. Bisanovic, M. Hajro, M. Dlakic, "Hydrothermal self-scheduling
problem in a day-ahead electricity market", Electric Power Systems
Research, Vol. 78, No. 9, pp 1579-1596.
[19] S. El Khatib and F. D. Galiana, "Negotiating bilateral contracts in
electricity markets", IEEE Transactions on Power Systems, Vol. 22, No.
2, pp. 553-562, May 2007.
[20] E. D. Andersen and K. D. Andersen, "The MOSEK interior point
optimizer for linear programming: An implementation of the
homogeneous algorithm", in H. Frenk, K. Roos, T. Terlaky, and S.
Zhang, editors, High Performance Optimization, pp 197-232, Kluwer
Academic Publishers, 2000.
@article{"International Journal of Electrical, Electronic and Communication Sciences:61832", author = "Smajo Bisanovic and Mensur Hajro and Muris Dlakic", title = "A Profit-Based Maintenance Scheduling of Thermal Power Units in Electricity Market", abstract = "This paper presents one comprehensive modelling approach for maintenance scheduling problem of thermal power units in competitive market. This problem is formulated as a 0/1 mixedinteger linear programming model. Model incorporates long-term bilateral contracts with defined profiles of power and price, and weekly forecasted market prices for market auction. The effectiveness of the proposed model is demonstrated through case study with detailed discussion.
", keywords = "Maintenance scheduling, bilateral contracts, market prices, profit.", volume = "5", number = "3", pages = "475-9", }
