Implementation of the pumped-storage unit on static transmission network expansion planning problem considering emission

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Chandrakant Rathore

Abstract

This paper presents the impact of the pumped-storage (PS) unit on the static transmission network expansion planning problem (STNEP). The aim of this work is to minimize the total cost and emission produced by the CO>/sub<2. The total cost is the summation of the transmission line cost and the fuel cost of the generating units. In growing power industry the generation sources are the main equipment, as there are various types of the generating sources. Their selections are done to achieve a more eco-friendly and economical. Hence, the impact of emissions on the STNEP needs to be analyzed. The proposed problem is tested on the IEEE 24-bus system and the gbest-guided artificial bee colony (GABC) optimization algorithm is applied to this problem. The results obtained indicate that the PS unit is effective to reduce the total cost and CO>/sub<2>/sub< emission level.

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How to Cite
Rathore, C. (2015). Implementation of the pumped-storage unit on static transmission network expansion planning problem considering emission. Power Research - A Journal of CPRI, 483–492. Retrieved from https://node6473.myfcloud.com/~geosocin/CPRI/index.php/pr/article/view/705

References

  1. R Hemmati, R A Hooshmand, and A Khodabakhshian, Comprehensive review of generation and transmission expansion planning, IET Gener. Transm. Distri., Vol. 7, pp. 955-964, 2013.
  2. G C Oliveira, S Binato and M V Pereira, Value-based transmission expansion planning of hydrothermal systems under uncertainty, IEEE Trans. PS, Vol. 22, pp. 1429-1435, 2007.
  3. L L Garver, Transmission network estimation using linear programming, IEEE Trans. PAS, Vol. 89, pp. 1688–1697, 1970.
  4. Y P Dusonchet and A H El-Abiad, Transmission planning using discrete dynamic optimization, IEEE Trans. PAS, Vol. 92, pp. 1358-1371, 1973.
  5. A O Ekwue and B J Cory, Transmission system expansion planning by interactive methods, IEEE Trans. PAS, Vol. 103, pp. 1583-1591, 1984.
  6. R Romero and A Monticelli, A hierarchical decomposition approach for transmission network expansion planning, IEEE Trans. PAS, Vol. 9, pp. 373-380, 1994.
  7. R Romero, R A Gallego and A Monticelli, Transmission expansion planning by simulated annealing, IEEE Trans. PAS, Vol. 11, pp. 364-369, 1996.
  8. M J Rider, A V Gracia and R Romero, Power system transmission network expansion planning using AC model, IET Gener. Transm. Distri., Vol. 1, pp. 731-742, 2007.
  9. R Romero, E N Asada, E Carreno and C Rocha, Constructive heuristic algorithm in a branch-and-bound applied to transmission network expansion planning, IET Gener. Transm. Distri., Vol. 1, pp. 318-323, 2007.
  10. M J Rider, A V Garica and R Romero, Transmission system expansion planning by a branch-and-bound algorithm, IET Gener. Transm. Distri., Vol. 2, pp. 90-99, 2008.
  11. A S Tawfiq and E A Ibrahim, The application of artificial intelligent tools to the transmission expansion problem, Electr. Power Syst. Res., Vol. 62, pp 117-126, 2002.
  12. A S Sousa and E N Asada, Combined heuristic with fuzzy systems to transmission system expansion planning, Electr. Power Syst. Res, Vol. 81, pp. 123-128, 2011.
  13. Y X Jin, H Z Cheng, J Y Yan and L Zhang, New discrete method for particle swarm optimization and its application in transmission network expansion planning, Electr. Power Syst. Res., Vol. 77, pp. 227233, 2007.
  14. A Eshragh, J Feliar and A Nazar, A projection-adapted cross entropy (PACE) method for transmission network planning, Int. J Electr. Power Energy Syst, Vol. 2, pp. 189-208, 2011.
  15. A Verma, B K Panigrahi and P R Bijwe, Harmony search algorithm for transmission network expansion planning, IET Gener. Transm. Distri., Vol. 4, pp. 663-673, 2010.
  16. T S lm, G A Taylor, M R Lrving and Y H Song, Differential evolution algorithm for static and multistage transmission expansion planning, IET Proc. Gener. Trans. Distrib., Vol. 3, pp. 365-384, 2009.
  17. A K Kazerooni and J Mutale, Transmission network planning under security and environmental constraints, IEEE Trans. PS, Vol. 25, pp. 1169-1178, 2010.
  18. C A Correa, R A Bolanos and A Garces, Environmental Transmission Expansion Planning using non-linear programming and evolutionary techniques. In Proc. IEEE Int. Symposium Alter. Energies and Energy Quality, pp. 1-5, October 2012.
  19. M E Nazari, M M Ardehali and S Jafari, Pumped-storage unit commitment with considerations for energy demand, economics, and environmental constraints, Energy, Vol. 35, pp. 4092-4101, 2010.
  20. Z Hongwei, F Yuzhao, Z Xiaoqing and R Zhen, Hydro-thermal unit commitment considering pumped storage stations, In Proc. of IEEE Int. Confer. Power Syst. Tech., , Vol. 1, pp. 576-580, Aug. 1998.
  21. P T Mary, C H R Jethmalani and S P Simon, Thermal unit commitment considering pumped storage hydro electricity plants, In Proc. of IEEE Int. Confer. Energy Efficient Tech. for Sust., India, pp. 964-969, April. 2013.
  22. W Gao, S Liu, and L Huang, A global best artificial bee colony algorithm for global optimization, J Comput. Appl. Math., Vol. 236, pp. 2741-2753, 2012.
  23. G Zhu, and S Kwong, Gbest-guided artificial bee colony algorithm for numerical function optimization, Appl. Math. Comput., Vol. 217, pp. 3166-3173, 2010.
  24. R Romero, A Monticelli, A Garcia and S Haffner, Test systems and mathematical models for transmission network expansion planning, IET Proc. Gener. Trans. Distrib., Vol. 149, pp. 27-36, 2002.
  25. [Online].Available, http://pscal.ece.gatech.edu/archive/testsys/generators.html.
  26. B Basturk, and D Karaboga, A powerful and efficient algorithm for numerical function optimization, artificial bee colony (ABC) algorithm, J Global Opt., Vol. 39, pp. 459471, 2007.
  27. R Romero, E N Asada, E Carreno, and C Rocha, Constructive heuristic algorithm in a branch-and-bound applied to transmission network expansion planning, IET Proc. Gener. Trans. Distrib., Vol. 1, pp. 318-323, 2007.
  28. R Romero, C Rocha, J R S Mantovani, and I G Sanchez, Constructive heuristic algorithm for the DC model in network transmission expansion planning, IET Proc. Gener. Trans. Distrib., Vol. 152, pp. 277-282, 2005.
  29. R Fang, and D J Hill, A new strategy for transmission expansion in competitive electricity markets, IEEE Trans. PS, Vol. 18, pp. 374-380, 2003.
  30. I J Silva, M J Rider, R Romero, A V Garcia, and C A Murari, Transmission network expansion planning with security constraints, IET Proc. Gener. Trans. Distrib., Vol. 152, pp. 828-836, 2005.