References
[1]. Ahmad, A., Singh, N., & Varshney, T. (2011). A New
Approach for Solving Economic Load Dispatch Problem.
MIT International Journal of Electrical and
Instrumentation Engineering, 1(2), 93-98.
[2]. Bakirtzis, A., Petridis, V., & Kazarlis, S. (1994). Genetic
Algorithm Solution to the Economic Dispatch Problem. IEE
Proc. Generation, Transmission, and Distribution, 141(4),
377-382.
[3]. Chang, S., Chen, C., FongI, & Luh, P. B. (1990).
Hydroelectric generation scheduling with an effective
differential programming. IEEE Transactions PWRS, 5(3),
737-743.
[4]. Danaraj, R. M. S., & Gajendran F. (2005). Quadratic
Programming Solution to Emission and Economic
Dispatch Problems. Journal of the Institution of Engineers
(India), 86(p), 129-132.
[5]. Gaing, Z. L. (2003). Particle Swarm Optimization to
Solving the Economic Dispatch considering the
Generator Constraints. IEEE Transactions on Power
Systems, 18(3), 1187-1195.
[6]. Gupta, S. K., Malik, M., & Gupta, D. (2017).
Application of Accelerated PSO and ANN for optimal
Scheduling of Hydrothermal system. Journal of Power
Electronics & Power Systems, 6(3), 42-52.
[7]. Gupta, S. K., & Chawala, P. (2015). Economic Load
Dispatch in Thermal Power Plant considering Additional
Constraints using Curve Fitting and ANN. Review of Energy
Technologies and Policy Research, 2(1), 16-28.
[8]. Hardiansyah, Junaidi, Yohannes, M. S. (2012). Solving
Economic Load Dispatch Problem using Particle Swarm
Optimization Technique. I. J. Intelligent Systems and
Applications, 12, 12-18.
[9]. Kennedy, J., & Eberhart, R. C. (1995). Particle Swarm
Optimization. Proceedings of IEEE International
Conference on Neural Networks (ICNN'95), (Vol.4,
pp.1942-1948).
[10]. LeeK, Y., Sode-Yome, A., & Park, J. H. (1998).
Adaptive Hopfield Neural Network for Economic Load
Dispatch. IEEE Trans. on Power Systems, 13(2), 519-526.
[11]. Liang, Z. X., & Glover, J. D. (1992). A Zoom Feature for
a Dynamic Programming Solution to Economic Dispatch
Including Transmission Losses. IEEE Transactions on Power
Systems, 7(2), 544-550.
[12]. Lim, S. Y., Montakhab, M., & Nouri, H. (2009).
Economic Dispatch of Power System using Particle Swarm
Optimization with Constriction Factor. International Journal
of Innovations in Energy Systems and Power, 4(2), 29-34.
[13]. Park, J. B., Lee, K. S., Shin, J. R., & Lee, K. Y. (2005). A
Particle Swarm Optimization for Economic Dispatch with
Non smooth Cost Functions. IEEE Transactions on Power Systems, 20(1), 34-42.
[14]. Pavlyukevich I. (2007). Levy flight, non-local search
and simulated annealing. J. Comput. Phys., 226(1), 1830-
1844.
[15]. Saadat H. (2002). Power System Analysis. Tata
McGraw Hill Publishing Company, New Delhi.
[16]. Sudhakaran, M., Ajay, P., Raj, D. V., & Palanivelu, T. G.
(2007). Application of Particle Swarm Optimization for
Economic Load Dispatch Problems. The 14th International
Conference on Intelligent System Applications to Power
Systems. pp.668-674, Kaohsiung, Taiwan.
[17]. Vanitha, M., & Tanushkodi, K. (2011). Solution to
Economic Dispatch Problem By Differential Evolution Algorithm considering Linear Equality and Inequality
Constraints. International Journal of Research and Reviews
in Electrical and Computer Engineering, 1(1), 21-26.
[18]. Walters, D., Sheble, C., & Gerald, B. (1993). Genetic
Algorithm solution of Economic Dispatch with Valve Point-
Loading. IEEE Transactions on Power System, 8.
[19]. Wood, A. J., & Wollenberg, B. F. (1984). Power
Generation, Operation, and Control. John Wiley and
Sons, New York.
[20]. Yang, X. (2012). Flower Pollination Algorithm for
Global Optimization. In Springer, Heidelberg. Durand-
Lose, J., Jonoska, N. (Eds.) UCNC 2012. LNCS, 7445, 240-
249.
