Hybrid genetic algorithm and particle swarm for optimal power flow with non-smooth fuel cost functions

Author:

Gacem Abdelmalek,Benattous Djilani

Publisher

Springer Science and Business Media LLC

Subject

Strategy and Management,Safety, Risk, Reliability and Quality

Reference17 articles.

1. Abido M (2002) Optimal power flow using particle swarm optimization. Electr Power Energy Syst 24:563–571

2. Acharjee P, Goswami S (2010) Multiple power flow solutions using particle swarm optimization with embedded local search technique. World Acad Sci Eng Technol 67:221–228

3. Benattous D, Labbi Y (2009) Particle swarm optimization based optimal power flow for units with non-smooth fuel cost functions. In: Eleco 6th International conference on electrical and electronics engineering papers, IEEE, Bursa

4. Esmaeili A, Esmaeili S, Goroohi A (2012) Optimal allocation of SVC and TCSC for improving voltage stability and reducing power system losses using hybrid binary genetic algorithm and particle swarm optimization, Canadian. J Electr Electron Eng 3:3

5. Kennedy J, Eberhart R (1995) Particle swarm optimisation. In: Proceedings IEEE international conference on Neural Networks, IEEE, Perth, pp 1942–1948

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