Short-Term Hydrothermal Scheduling Based on Harmony Search Algorithm

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Abstract:

In this paper, the nonlinear optimal control problem is formulated as a multi-objective mathematical optimization problem. Harmony search (HS) algorithm is one of the new heuristic algorithms. The harmony search (HS) optimization algorithm is introduced for the first time in solving the optimal short-term hydrothermal scheduling in power systems. A case on consisting of 9 buses, 11 transmission lines, four thermal plants and three hydro plants in Indian utility system is presented to show the methodology’s feasibility and efficiency. Compared with the optimal short-term hydrothermal scheduling of power systems, the search time of the HS optimization algorithm is shorter and the result is close to the ideal solution.

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Advanced Materials Research (Volumes 1044-1045)

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1507-1510

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October 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Wood AJ, Wollenberg BF. Power generation, operation & control. 2nd ed. John Wiley & Sons, Inc.; (2003).

Google Scholar

[2] Li C-A, Jap PJ, Streiffert DL. Implementation of network flow programming to the hydrothermal coordination in energy management systems. IEEE Trans Power Syst 1993; 8: 1045–53.

DOI: 10.1109/59.260895

Google Scholar

[3] Sjelvgren D, Brannlund H, Dillon TS. Large-scale non-linear programming applied to operations planning. Int J Elec Power Energy Syst 1989; 11: 213–7.

DOI: 10.1016/0142-0615(89)90030-6

Google Scholar

[4] Mohan MR, Kuppusamy K, Khan MA. Optimal short-term hydro-thermal scheduling using decomposition approach and linear programming method. Int J Elect Power Energy Syst 1992; 14: 39–44.

DOI: 10.1016/0142-0615(92)90007-v

Google Scholar

[5] Geem ZW, Kim JH, et al. A new heuristic optimization algorithm: harmony search. Simulation 2001(76): 60–68.

DOI: 10.1177/003754970107600201

Google Scholar

[6] Fesanghary M, Mahdavi M, Minary-Jolandan M, Alizadeh Y. Hybridizing harmony search algorithm with sequential quadratic programming for engineering optimization problems. Comput Methods Appl Mech Eng 2008(197): 3080–3091.

DOI: 10.1016/j.cma.2008.02.006

Google Scholar

[7] V. Senthil Kumar , M.R. Mohan. A genetic algorithm solution to the optimal short-term hydrothermal scheduling. Electrical Power and Energy Systems 2011(33): 827-835.

DOI: 10.1016/j.ijepes.2010.11.008

Google Scholar

[8] S. Sivasubramani, K.S. Swarup. Multi-objective harmony search algorithm for optimal power flow problem, Electrical Power and Energy Systems 2011(33): 745-752.

DOI: 10.1016/j.ijepes.2010.12.031

Google Scholar