Security constrained optimal power flow solution using new adaptive partitioning flower pollination algorithm
暂无分享,去创建一个
[1] M. Tripathy,et al. Security constrained optimal power flow solution of wind-thermal generation system using modified bacteria foraging algorithm , 2015 .
[2] T. Niknam,et al. A modified teaching–learning based optimization for multi-objective optimal power flow problem , 2014 .
[3] E. S. Ali,et al. Combined economic and emission dispatch solution using Flower Pollination Algorithm , 2016 .
[4] Amer Draa,et al. On the performances of the flower pollination algorithm - Qualitative and quantitative analyses , 2015, Appl. Soft Comput..
[5] Bhimrao S. Umre,et al. Reactive power control using dynamic Particle Swarm Optimization for real power loss minimization , 2012 .
[6] P. Ajay D. Vimal Raj,et al. Adaptive biogeography based predator–prey optimization technique for optimal power flow , 2014 .
[7] V. Quintana,et al. Improving an interior-point-based OPF by dynamic adjustments of step sizes and tolerances , 1999 .
[8] Mohd Herwan Sulaiman,et al. Using the gray wolf optimizer for solving optimal reactive power dispatch problem , 2015, Appl. Soft Comput..
[9] Francisco D. Galiana,et al. A survey of the optimal power flow literature , 1991 .
[10] A. Lashkar Ara,et al. A hybrid of ant colony optimization and artificial bee colony algorithm for probabilistic optimal placement and sizing of distributed energy resources , 2015 .
[11] Xin-She Yang,et al. Flower Pollination Algorithm for Global Optimization , 2012, UCNC.
[12] William F. Tinney,et al. Optimal Power Flow Solutions , 1968 .
[13] Sahand Ghavidel,et al. Application of imperialist competitive algorithm with its modified techniques for multi-objective optimal power flow problem: A comparative study , 2014, Inf. Sci..
[14] R. Yokoyama,et al. Improved genetic algorithms for optimal power flow under both normal and contingent operation states , 1997 .
[15] Dalia Yousri,et al. Flower Pollination Algorithm based solar PV parameter estimation , 2015 .
[16] A. M. Jubril,et al. Solving Multi-Objective Economic Dispatch Problem Via Semidefinite Programming , 2013, IEEE Transactions on Power Systems.
[17] Amir Hossein Gandomi,et al. Firefly Algorithm for solving non-convex economic dispatch problems with valve loading effect , 2012, Appl. Soft Comput..
[18] Bijaya K. Panigrahi,et al. Optimal Power Flow Solution Using Self-Evolving Brain-Storming Inclusive Teaching-Learning-Based Algorithm , 2013, ICSI.
[19] Rainer Storn,et al. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..
[20] Yuhui Shi,et al. Brain Storm Optimization Algorithm , 2011, ICSI.
[21] M. A. Abido,et al. Multiobjective particle swarm optimization for environmental/economic dispatch problem , 2009 .
[22] R. Adapa,et al. A review of selected optimal power flow literature to 1993. II. Newton, linear programming and interior point methods , 1999 .
[23] S. R. Spea,et al. Optimal power flow using differential evolution algorithm , 2010 .
[24] M. A. Abido,et al. Optimal power flow using particle swarm optimization , 2002 .
[25] Gonggui Chen,et al. Chaotic improved PSO-based multi-objective optimization for minimization of power losses and L index in power systems , 2014 .
[26] O. Alsac,et al. Optimal Load Flow with Steady-State Security , 1974 .
[27] B. Mahdad,et al. Optimal power flow of the algerian network using genetic algorithm/fuzzy rules , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.
[28] Bijaya K. Panigrahi,et al. A Biologically Inspired Modified Flower Pollination Algorithm for Solving Economic Dispatch Problems in Modern Power Systems , 2015, Cognitive Computation.
[29] Abhishek Rajan,et al. Optimal reactive power dispatch using hybrid Nelder–Mead simplex based firefly algorithm , 2015 .
[30] H. Happ,et al. Quadratically Convergent Optimal Power Flow , 1984, IEEE Transactions on Power Apparatus and Systems.
[31] Rahmat-Allah Hooshmand,et al. Congestion management by determining optimal location of series FACTS devices using hybrid bacterial foraging and Nelder-Mead algorithm , 2015, Appl. Soft Comput..
[32] Vassilios Petridis,et al. Optimal power flow by enhanced genetic algorithm , 2002 .
[33] E. S. Ali,et al. Optimal sizing and locations of capacitors in radial distribution systems via flower pollination optimization algorithm and power loss index , 2016 .
[34] Narayana Prasad Padhy,et al. Optimal location and controller design of STATCOM for power system stability improvement using PSO , 2008, J. Frankl. Inst..
[35] A. Karami,et al. Artificial bee colony algorithm for solving multi-objective optimal power flow problem , 2013 .
[36] Belkacem Mahdad,et al. Multi objective large power system planning under sever loading condition using learning DE-APSO-PS strategy , 2014 .
[37] Mohammad Ali Abido,et al. Differential evolution algorithm for optimal reactive power dispatch , 2011 .
[38] Belkacem Mahdad,et al. Solving practical power system problems using hierarchical interactive PSO strategy considering SVC controllers , 2014, J. Intell. Fuzzy Syst..
[39] Bijay Ketan Panigrahi,et al. Hybrid flower pollination algorithm with time-varying fuzzy selection mechanism for wind integrated multi-objective dynamic economic dispatch , 2015 .
[40] Mahmood Joorabian,et al. Optimal power flow under both normal and contingent operation conditions using the hybrid fuzzy particle swarm optimisation and Nelder-Mead algorithm (HFPSO-NM) , 2014, Appl. Soft Comput..
[41] Steffen Rebennack,et al. Optimal power flow: a bibliographic survey I , 2012, Energy Systems.
[42] A. Rezaee Jordehi,et al. Brainstorm optimisation algorithm (BSOA): An efficient algorithm for finding optimal location and setting of FACTS devices in electric power systems , 2015 .
[43] M. A. Abido,et al. Optimal power flow using Teaching-Learning-Based Optimization technique , 2014 .
[44] R. Venkata Rao,et al. Teaching-learning-based optimization: A novel method for constrained mechanical design optimization problems , 2011, Comput. Aided Des..
[45] Jan K. Sykulski,et al. A hybrid GA–PS–SQP method to solve power system valve-point economic dispatch problems , 2010 .
[46] M. A. Abido,et al. Optimal power flow using the league championship algorithm: A case study of the Algerian power system , 2014 .
[47] Abdullah Abusorrah,et al. Optimal Power Flow Using Adapted Genetic Algorithm with Adjusting Population Size , 2012 .
[48] Serhat Duman,et al. Optimal power flow using gravitational search algorithm , 2012 .
[49] Andrew Lewis,et al. Grey Wolf Optimizer , 2014, Adv. Eng. Softw..
[50] Belkacem Mahdad,et al. Blackout risk prevention in a smart grid based flexible optimal strategy using Grey Wolf-pattern search algorithms , 2015 .
[51] Rui Zhang,et al. A contingency partitioning approach for preventive-corrective security-constrained optimal power flow computation , 2016 .
[52] Sahand Ghavidel,et al. Multi-objective optimal electric power planning in the power system using Gaussian bare-bones imperialist competitive algorithm , 2015, Inf. Sci..
[53] C. K. Babulal,et al. Maximum loadability limit of power system using hybrid differential evolution with particle swarm optimization , 2012 .
[54] Yuhui Shi,et al. Particle swarm optimization: developments, applications and resources , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).
[55] R. Storn,et al. Differential Evolution - A simple and efficient adaptive scheme for global optimization over continuous spaces , 2004 .
[56] C. K. Babulal,et al. Fuzzy harmony search algorithm based optimal power flow for power system security enhancement , 2016 .
[57] R. Mota-Palomino,et al. Sparse Reactive Power Scheduling by a Penalty Function - Linear Programming Technique , 1986, IEEE Transactions on Power Systems.
[58] Mohammad Javad Morshed,et al. Hybrid imperialist competitive-sequential quadratic programming (HIC-SQP) algorithm for solving economic load dispatch with incorporating stochastic wind power: A comparative study on heuristic optimization techniques , 2014 .