Hybridization of modified particle swarm optimization with gravitational search algorithm for solving optimal power flow including wind generation in isolated Adrar region

This paper proposes a new hybrid particle swarm optimization with gravitational search algorithm to solve the economic/environment optimal power flow dispatching incorporating wind power generations into the isolated Adrar Algerian power system. Taking into account the intermittent of the wind speed, the maximum probable active wind power generation is estimated by computing the wind speed carried maximum energy. The simulation results obtained from the proposed algorithm shows that this algorithm is capable to give higher quality solutions to solve a real optimal power flow dispatching problem with a fast convergence.

[1]  P. S. Kulkarni, A. G. Kothari, D. P. Kothari.  Combined Economic and Emission Dispatch Using Improved Backpropagation Neural Network , 2000 .

[2]  Narayana Prasad Padhy,et al.  Comparison and application of evolutionary programming techniques to combined economic emission dispatch with line flow constraints , 2003 .

[3]  A. Celik.  A statistical analysis of wind power density based on the Weibull and Rayleigh models at the southern region of Turkey , 2004 .

[4]  Riccardo Poli,et al.  Particle swarm optimization , 1995, Swarm Intelligence.

[5]  David C. Yu,et al.  An Economic Dispatch Model Incorporating Wind Power , 2008, IEEE Transactions on Energy Conversion.

[6]  J.M. Ramirez,et al.  Optimal Power Flow Subject to Security Constraints Solved With a Particle Swarm Optimizer , 2008, IEEE Transactions on Power Systems.

[7]  Hossein Nezamabadi-pour,et al.  GSA: A Gravitational Search Algorithm , 2009, Inf. Sci..

[8]  S. Mirjalili,et al.  A new hybrid PSOGSA algorithm for function optimization , 2010, 2010 International Conference on Computer and Information Application.

[9]  Y. X. Ni,et al.  Optimal power flow with consideration of wind generation cost , 2010, 2010 International Conference on Power System Technology.

[10]  Serhat Duman,et al.  Application of gravitational search algorithm for optimal reactive power dispatch problem , 2011, 2011 International Symposium on Innovations in Intelligent Systems and Applications.

[11]  J. G. Kassakian,et al.  Forward Pass: Policy Challenges and Technical Opportunities on the U.S. Electric Grid , 2012, IEEE Power and Energy Magazine.

[12]  Aniruddha Bhattacharya,et al.  Solution of multi-objective optimal power flow using gravitational search algorithm , 2012 .

[13]  Chen Wang,et al.  Optimal Power Flow Solution Incorporating Wind Power , 2012, IEEE Systems Journal.

[14]  M. Kalantar,et al.  Economic Dispatch incorporating wind power plant using Particle Swarm Optimization , 2012, 2012 Second Iranian Conference on Renewable Energy and Distributed Generation.

[15]  Nima Amjady,et al.  Solution of large-scale security constrained optimal power flow by a new bi-level optimisation approach based on enhanced gravitational search algorithm , 2013 .