An improved moth-flame optimization algorithm for solving optimal power flow problem
暂无分享,去创建一个
Salah Kamel | Mohamed Ebeed | Francisco Jurado | Mahrous A. Taher | F. Jurado | S. Kamel | Mohamed Ebeed | M. Taher
[1] Chongqing Kang,et al. Solving OPF using linear approximations: fundamental analysis and numerical demonstration , 2017 .
[2] Patrick Siarry,et al. A survey on optimization metaheuristics , 2013, Inf. Sci..
[3] Dervis Karaboga,et al. A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm , 2007, J. Glob. Optim..
[4] C. D. Gelatt,et al. Optimization by Simulated Annealing , 1983, Science.
[5] Hany M. Hasanien,et al. Optimal power flow solution in power systems using a novel Sine-Cosine algorithm , 2018, International Journal of Electrical Power & Energy Systems.
[6] Christian Blum,et al. Hybrid metaheuristics in combinatorial optimization: A survey , 2011, Appl. Soft Comput..
[7] Shuai Lu,et al. Improved DC power flow method based on empirical knowledge of the system , 2010, IEEE PES T&D 2010.
[8] C. K. Babulal,et al. Fuzzy harmony search algorithm based optimal power flow for power system security enhancement , 2016 .
[9] Mojtaba Ghasemi,et al. An improved teaching–learning-based optimization algorithm using Lévy mutation strategy for non-smooth optimal power flow , 2015 .
[10] Long Li,et al. Differential evolution based on covariance matrix learning and bimodal distribution parameter setting , 2014, Appl. Soft Comput..
[11] H. Glavitsch,et al. Estimating the Voltage Stability of a Power System , 1986, IEEE Transactions on Power Delivery.
[12] Qingfu Zhang,et al. Differential Evolution With Composite Trial Vector Generation Strategies and Control Parameters , 2011, IEEE Transactions on Evolutionary Computation.
[13] Scott Kirkpatrick,et al. Optimization by simulated annealing: Quantitative studies , 1984 .
[14] Mojtaba Ghasemi,et al. Multi-objective optimal power flow considering the cost, emission, voltage deviation and power losses using multi-objective modified imperialist competitive algorithm , 2014 .
[15] R. Adapa,et al. A review of selected optimal power flow literature to 1993. I. Nonlinear and quadratic programming approaches , 1999 .
[16] Ibrahim Eksin,et al. A new optimization method: Big Bang-Big Crunch , 2006, Adv. Eng. Softw..
[17] E. Prempain,et al. An improved particle swarm optimization for optimal power flow , 2004, 2004 International Conference on Power System Technology, 2004. PowerCon 2004..
[18] Di Shi,et al. Impact of assumptions on DC power flow model accuracy , 2012, 2012 North American Power Symposium (NAPS).
[19] J. Lavaei,et al. Convex relaxation for optimal power flow problem: Mesh networks , 2013, 2013 Asilomar Conference on Signals, Systems and Computers.
[20] O. Alsaç,et al. DC Power Flow Revisited , 2009, IEEE Transactions on Power Systems.
[21] John H. Holland,et al. Cognitive systems based on adaptive algorithms , 1977, SGAR.
[22] Xin Yao,et al. Evolutionary programming made faster , 1999, IEEE Trans. Evol. Comput..
[23] Shumeet Baluja,et al. A Method for Integrating Genetic Search Based Function Optimization and Competitive Learning , 1994 .
[24] K. Vaisakh,et al. Genetic evolving ant direction HDE for OPF with non-smooth cost functions and statistical analysis , 2011, Expert Syst. Appl..
[25] Hossein Nezamabadi-pour,et al. GSA: A Gravitational Search Algorithm , 2009, Inf. Sci..
[26] Seyed Mohammad Mirjalili,et al. Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm , 2015, Knowl. Based Syst..
[27] Taher Niknam,et al. A new hybrid algorithm for optimal power flow considering prohibited zones and valve point effect , 2012 .
[28] David H. Wolpert,et al. No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..
[29] Qingfu Zhang,et al. Enhancing the search ability of differential evolution through orthogonal crossover , 2012, Inf. Sci..
[30] F. Galiana,et al. Economic Dispatch Using the Reduced Hessian , 1982, IEEE Power Engineering Review.
[31] S. R. Spea,et al. Optimal power flow using differential evolution algorithm , 2010 .
[32] R. Venkata Rao,et al. Teaching-learning-based optimization: A novel method for constrained mechanical design optimization problems , 2011, Comput. Aided Des..
[33] Vivekananda Mukherjee,et al. Solution of optimal power flow using chaotic krill herd algorithm , 2015 .
[34] Ali Husseinzadeh Kashan,et al. League Championship Algorithm (LCA): An algorithm for global optimization inspired by sport championships , 2014, Appl. Soft Comput..
[35] K. Lee,et al. A United Approach to Optimal Real and Reactive Power Dispatch , 1985, IEEE Transactions on Power Apparatus and Systems.
[36] James A. Momoh,et al. A generalized quadratic-based model for optimal power flow , 1989, Conference Proceedings., IEEE International Conference on Systems, Man and Cybernetics.
[37] D. Sun,et al. Optimal Power Flow Based Upon P-Q Decomposition , 1982, IEEE Transactions on Power Apparatus and Systems.
[38] S. Deb,et al. Elephant Herding Optimization , 2015, 2015 3rd International Symposium on Computational and Business Intelligence (ISCBI).
[39] Hardiansyah. A Modified Particle Swarm Optimization Technique for Economic Load Dispatch with Valve-Point Effect , 2013 .
[40] Steffen Rebennack,et al. Optimal power flow: a bibliographic survey I , 2012, Energy Systems.
[41] O. Alsac,et al. Optimal Load Flow with Steady-State Security , 1974 .
[42] R.J. Thomas,et al. On Computational Issues of Market-Based Optimal Power Flow , 2007, IEEE Transactions on Power Systems.
[43] Russell C. Eberhart,et al. A new optimizer using particle swarm theory , 1995, MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science.
[44] Q. Henry Wu,et al. Group Search Optimizer: An Optimization Algorithm Inspired by Animal Searching Behavior , 2009, IEEE Transactions on Evolutionary Computation.
[45] Belkacem Mahdad,et al. Blackout risk prevention in a smart grid based flexible optimal strategy using Grey Wolf-pattern search algorithms , 2015 .
[46] Chongqing Kang,et al. Fundamental Review of the OPF Problem: Challenges, Solutions, and State-of-the-Art Algorithms , 2018 .
[47] M. A. Abido. Environmental/economic power dispatch using multiobjective evolutionary algorithms , 2003 .
[48] Jan K. Sykulski,et al. A hybrid GA–PS–SQP method to solve power system valve-point economic dispatch problems , 2010 .
[49] Dan Simon,et al. Biogeography-Based Optimization , 2022 .
[50] Abdullah Abusorrah,et al. Optimal Power Flow Using Adapted Genetic Algorithm with Adjusting Population Size , 2012 .
[51] Eric Hobson,et al. Power System Security Control Calculations Using Linear Programming, Part II , 1978, IEEE Transactions on Power Apparatus and Systems.
[52] Ragab A. El-Sehiemy,et al. Optimal power flow using an Improved Colliding Bodies Optimization algorithm , 2016, Appl. Soft Comput..
[53] Tarek H. M. Abou-El-Enien,et al. Modified Moth-Flame Optimization Algorithms for Terrorism Prediction , 2016 .
[54] Abdolreza Hatamlou,et al. Black hole: A new heuristic optimization approach for data clustering , 2013, Inf. Sci..
[55] V. Cerný. Thermodynamical approach to the traveling salesman problem: An efficient simulation algorithm , 1985 .
[56] Rainer Storn,et al. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..
[57] Kit Po Wong,et al. Evolutionary programming based optimal power flow algorithm , 1999 .
[58] R. Venkata Rao,et al. Teaching-Learning-Based Optimization: An optimization method for continuous non-linear large scale problems , 2012, Inf. Sci..
[59] J. Lavaei,et al. Physics of power networks makes hard optimization problems easy to solve , 2012, 2012 IEEE Power and Energy Society General Meeting.
[60] Sahand Ghavidel,et al. A novel hybrid algorithm of imperialist competitive algorithm and teaching learning algorithm for optimal power flow problem with non-smooth cost functions , 2014, Eng. Appl. Artif. Intell..