OPTIMIZING HYDRO POWER RESERVOIR SYSTEM USING HYBRID OPTIMIZATION APPROACH

Wu R.N. & Lee T.H. & Hill E.F. : An investigation of the accuracy and the characteristics of the peak-shaving method applied to production cost calculations. IEEE Trans Power Syst, vol. 4(3), pp. 1043–9, 1989.

Tang J. & Luh P.B. : Hydrothermal scheduling via extended differential dynamic programming and mixed coordination. IEEE Trans Power Syst, vol. 10(4), pp. 2021 –8, 1995.

Li C. & Jap P.J. & Streiffert D.L.: Implementation of network flow programming to the hydrothermal coordination in an energy management system. IEEE Trans Power Syst, vol. 8(3), pp. 1045–53, 1993.

Nilsson O. & Sjelvgren D.: Mixed-integer programming applied to short-term planning of a hydro-thermal system. IEEE Trans Power Syst, vol. 11(1), pp. 281 –6, 1996.

Wong K.P. & Wong Y.W. : Short-term hydrothermal scheduling. Part-I: Simulated annealing approach, in IEE Proc. Generation, Transmission and Distribution. Vol. 141, No. 5, pp. 497-501. 1994.

Gil E. & Bustos J. & Rudnick H.: Short-term hydrothermal generation scheduling model using a genetic algorithm. IEEE Trans Power Syst. vol. 18(4), pp. 1256 –64, 2003.

Zoumas C.E. & Bakirtzis A.G. & Theocharis J.B. & Petridis V.: A genetic algorithm solution approach to the hydrothermal coordination problem. IEEE Trans Power Syst, vol. 19(2), pp. 1356–64, 2004.

Sinha N. & Chakrabarti R. & Chattopadhyay P. K.: Fast evolutionary programming techniques for short-term hydrothermal scheduling. IEEE Trans Power Syst, vol. 18(1), pp. 214-19, 2003.

Yu B. & Yuan X. & Wang J.: Short-term hydro-thermal scheduling using particle swarm optimization method. Energy Conversion and Management, Vol. 48(7), pp. 1902–08, 2007.

Simopoulos D. & Kavatza S. & Vournas C.: An enhanced peak shaving method for short term hydrothermal scheduling. Energy Conversion and Management, vol.48, pp. 3018-24, 2007. [1 1] Goldberg D.E.: Genetic Algorithms in Search. Optimization and Machine Learning. New York, Addison-Wesley, 1989. [1 2] Reis L.F.R. & Bessler F.T. & Walters G.A. & Savic D.:Water Supply Reservoir Operation by Combined Genetic Algorithm – Linear Programming Approach. Water Resources Management, vol. 20, pp. 227-55, 2006.

Wu R.N. & Lee T.H. & Hill E.F. : An investigation of the accuracy and the characteristics of the peak-shaving method applied to production cost calculations. IEEE Trans Power Syst, vol. 4(3), pp. 1043–9, 1989.

Tang J. & Luh P.B. : Hydrothermal scheduling via extended differential dynamic programming and mixed coordination. IEEE Trans Power Syst, vol. 10(4), pp. 2021 –8, 1995.

Li C. & Jap P.J. & Streiffert D.L.: Implementation of network flow programming to the hydrothermal coordination in an energy management system. IEEE Trans Power Syst, vol. 8(3), pp. 1045–53, 1993.

Nilsson O. & Sjelvgren D.: Mixed-integer programming applied to short-term planning of a hydro-thermal system. IEEE Trans Power Syst, vol. 11(1), pp. 281 –6, 1996.

Wong K.P. & Wong Y.W. : Short-term hydrothermal scheduling. Part-I: Simulated annealing approach, in IEE Proc. Generation, Transmission and Distribution. Vol. 141, No. 5, pp. 497-501. 1994.

Gil E. & Bustos J. & Rudnick H.: Short-term hydrothermal generation scheduling model using a genetic algorithm. IEEE Trans Power Syst. vol. 18(4), pp. 1256 –64, 2003.

Zoumas C.E. & Bakirtzis A.G. & Theocharis J.B. & Petridis V.: A genetic algorithm solution approach to the hydrothermal coordination problem. IEEE Trans Power Syst, vol. 19(2), pp. 1356–64, 2004.

Sinha N. & Chakrabarti R. & Chattopadhyay P. K.: Fast evolutionary programming techniques for short-term hydrothermal scheduling. IEEE Trans Power Syst, vol. 18(1), pp. 214-19, 2003.

Yu B. & Yuan X. & Wang J.: Short-term hydro-thermal scheduling using particle swarm optimization method. Energy Conversion and Management, Vol. 48(7), pp. 1902–08, 2007.

Simopoulos D. & Kavatza S. & Vournas C.: An enhanced peak shaving method for short term hydrothermal scheduling. Energy Conversion and Management, vol.48, pp. 3018-24, 2007. [1 1] Goldberg D.E.: Genetic Algorithms in Search. Optimization and Machine Learning. New York, Addison-Wesley, 1989. [1 2] Reis L.F.R. & Bessler F.T. & Walters G.A. & Savic D.:Water Supply Reservoir Operation by Combined Genetic Algorithm – Linear Programming Approach. Water Resources Management, vol. 20, pp. 227-55, 2006.