Improved bees algorithm for dynamic economic dispatch considering prohibited operating zones

The proposed improved bees algorithm (IBA) finds a trustworthy solution to the dynamic economic dispatch (DED) problem considering the prohibited operating zones. Additional techniques such as constraint handling, adaptive patch size, and limited search space are integrated with general bees algorithm, making significant improvement in the overall performance of the proposed technique. The DED problem under consideration is performed over the whole dispatch period while satisfying the operational constraints such as transmission losses, ramp rate limits, system load demand, prohibited operating zones, and spinning reserve. Simulations were performed for testing the proposed method for the DED problem with a six-unit system. The results obtained for proposed algorithm are compared with the other candidates, i.e. particle swarm optimization, genetic algorithms, and the general bees algorithm. The results obtained from the distribution and the convergence graph show that the proposed IBA has enough potential to achieve a good quality solution together with the better computational efficiency.

[1]  P. Rastgoufard,et al.  Dynamic economic dispatch using the extended security constrained economic dispatch algorithm , 1997 .

[2]  Rajesh Kumar,et al.  Economic Power Dispatch with Valve Point Effects Using Bee Optimization Algorithm , 2009 .

[3]  G. Sheblé,et al.  Genetic algorithm solution of economic dispatch with valve point loading , 1993 .

[4]  Zwe-Lee Gaing,et al.  Particle swarm optimization to solving the economic dispatch considering the generator constraints , 2003 .

[5]  A. Bagchi,et al.  Economic dispatch with network and ramping constraints via interior point methods , 1998 .

[6]  K. Deb An Efficient Constraint Handling Method for Genetic Algorithms , 2000 .

[7]  Daniel S. Kirschen,et al.  What is spinning reserve , 2005 .

[8]  Zwe-Lee Gaing,et al.  Constrained dynamic economic dispatch solution using particle swarm optimization , 2004, IEEE Power Engineering Society General Meeting, 2004..

[9]  Lale Özbakir,et al.  Bees algorithm for generalized assignment problem , 2010, Appl. Math. Comput..

[10]  D.T. Pham,et al.  Application of the Bees Algorithm to the Training of Learning Vector Quantisation Networks for Control Chart Pattern Recognition , 2006, 2006 2nd International Conference on Information & Communication Technologies.

[11]  Xiaohua Xia,et al.  Optimal dynamic economic dispatch of generation: A review , 2010 .

[12]  Menglin Zhang,et al.  A new hybrid algorithm for economic dispatch considering the generator constraints , 2013, 2013 IEEE International Conference of IEEE Region 10 (TENCON 2013).