A review on optimization algorithms and application to wind energy integration to grid
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[1] M. Y. Hussaini,et al. Placement of wind turbines using genetic algorithms , 2005 .
[2] Ahmed Bensenouci,et al. PID controllers design for a power plant using Bacteria Foraging Algorithm , 2011, 2011 Saudi International Electronics, Communications and Photonics Conference (SIECPC).
[3] A MohamedImran,et al. Optimal size and siting of multiple distributed generators in distribution system using bacterial foraging optimization , 2014, Swarm Evol. Comput..
[4] R. Ramakumar,et al. An approach to quantify the technical benefits of distributed generation , 2004, IEEE Transactions on Energy Conversion.
[5] Mohamed Cherkaoui,et al. PITCH ANGLE CONTROL FOR VARIABLE SPEED WIND TURBINES USING GENETIC ALGORITHM CONTROLLER , 2012 .
[6] Palle Andersen,et al. Comparing PI and Robust Pitch Controllers on a 400kw Wind Turbine by full scale Tests , 1997 .
[7] Katsuhiko Ogata,et al. Modern Control Engineering , 1970 .
[8] Mohamed Maaroufi,et al. Probabilistic economic/environmental power dispatch of power system integrating renewable energy sources , 2014 .
[9] Chih-Wen Liu,et al. Non-smooth/non-convex economic dispatch by a novel hybrid differential evolution algorithm , 2007 .
[10] J. Sadeh,et al. Optimal sizing of hybrid wind/photovoltaic/battery considering the uncertainty of wind and photovoltaic power using Monte Carlo , 2012, 2012 11th International Conference on Environment and Electrical Engineering.
[11] A. Bensenouci,et al. Simulated Annealing Optimized and Neural Networks Self-Tuned PID Voltage Regulator for a Single-Machine Power System , 2006, IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics.
[12] James F. Manwell,et al. Algorithms for Offshore Wind Farm Layout Optimization , 2008 .
[13] Tore Hägglund,et al. Automatic Tuning and Adaptation for PID Controllers—A Survey , 1992 .
[14] Fuli Wang,et al. Hybrid genetic algorithm for economic dispatch with valve-point effect , 2008 .
[15] P. Attaviriyanupap,et al. A Hybrid EP and SQP for Dynamic Economic Dispatch with Nonsmooth Fuel Cost Function , 2002, IEEE Power Engineering Review.
[16] R. Lozi. UN ATTRACTEUR ÉTRANGE (?) DU TYPE ATTRACTEUR DE HÉNON , 1978 .
[17] Mauridhi Hery Purnomo,et al. Maximum Output Power Tracking of Wind Turbine Using Intelligent Control , 2011 .
[18] Rajesh Kumar,et al. A review on particle swarm optimization algorithms and their applications to data clustering , 2011, Artificial Intelligence Review.
[19] Javier Serrano González,et al. Optimization of wind farm turbines layout using an evolutive algorithm , 2010 .
[20] John K. Kaldellis,et al. The wind potential impact on the maximum wind energy penetration in autonomous electrical grids , 2008 .
[21] C.-L. Chiang,et al. Genetic-based algorithm for power economic load dispatch , 2007 .
[22] Serap Ulusam Seçkiner,et al. Design of wind farm layout using ant colony algorithm , 2012 .
[23] Z. N. Zakaria,et al. Firefly Algorithm technique for solving Economic Dispatch problem , 2012, 2012 IEEE International Power Engineering and Optimization Conference Melaka, Malaysia.
[24] Consolación Gil,et al. Optimization methods applied to renewable and sustainable energy: A review , 2011 .
[25] Thomas Stützle,et al. Ant Colony Optimization and Swarm Intelligence, 5th International Workshop, ANTS 2006, Brussels, Belgium, September 4-7, 2006, Proceedings , 2006, ANTS Workshop.
[26] Bryan A. Norman,et al. Heuristic methods for wind energy conversion system positioning , 2004 .
[27] Prakash Kumar Hota,et al. Gravitational Search Algorithm for Optimal Economic Dispatch , 2012 .
[28] H. Camblong. Digital robust control of a variable speed pitch regulated wind turbine for above rated wind speeds , 2008 .
[29] M. Sedighizadeh,et al. A particle swarm optimization for sitting and sizing of Distributed Generation in distribution network to improve voltage profile and reduce THD and losses , 2008, 2008 43rd International Universities Power Engineering Conference.
[30] R. Adapa,et al. A review of selected optimal power flow literature to 1993. I. Nonlinear and quadratic programming approaches , 1999 .
[31] Youxin Luo,et al. The controlling parameters tuning and its application of fractional order PID bacterial foraging-based oriented by particle swarm optimization , 2009, 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems.
[32] Kevin M. Passino,et al. Bacterial Foraging Optimization , 2010, Int. J. Swarm Intell. Res..
[33] Suresh Chandra Satapathy,et al. Modified Teaching-Learning-Based Optimization algorithm for global numerical optimization - A comparative study , 2014, Swarm Evol. Comput..
[34] Taher Niknam,et al. Probabilistic multiobjective wind-thermal economic emission dispatch based on point estimated method , 2012 .
[35] R. Venkata Rao,et al. Teaching-learning-based optimization: A novel method for constrained mechanical design optimization problems , 2011, Comput. Aided Des..
[36] M. E. El-Hawary,et al. Optimal Distributed Generation Allocation and Sizing in Distribution Systems via Artificial Bee Colony Algorithm , 2011, IEEE Transactions on Power Delivery.
[37] G. Joós,et al. Models for Quantifying the Economic Benefits of Distributed Generation , 2008, IEEE Transactions on Power Systems.
[38] Andrew Kusiak,et al. Dynamic control of wind turbines , 2010 .
[39] Sancho Salcedo-Sanz,et al. Offshore wind farm design with the Coral Reefs Optimization algorithm , 2014 .
[40] S. Muthukumar,et al. Estimator based neuro-fuzzy control for maximum power extraction from wind electrical power generation system , 2010, 2010 IEEE International Conference on Computational Intelligence and Computing Research.
[41] Hong-Tzer Yang,et al. Evolutionary programming based economic dispatch for units with non-smooth fuel cost functions , 1996 .
[42] P. Bhasaputra,et al. Multi-objective optimal distributed generation placement using simulated annealing , 2010, ECTI-CON2010: The 2010 ECTI International Confernce on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology.
[43] Ahmet Serdar Yilmaz,et al. Pitch angle control in wind turbines above the rated wind speed by multi-layer perceptron and radial basis function neural networks , 2009, Expert Syst. Appl..
[44] Xin-She Yang,et al. Firefly Algorithms for Multimodal Optimization , 2009, SAGA.
[45] Dervis Karaboga,et al. Artificial bee colony algorithm , 2010, Scholarpedia.
[46] Sancho Salcedo-Sanz,et al. A review of recent evolutionary computation-based techniques in wind turbines layout optimization problems , 2011, Central European Journal of Computer Science.
[47] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..
[48] Javier Serrano González,et al. A review and recent developments in the optimal wind-turbine micro-siting problem , 2014 .
[49] M. N. Mansouri,et al. Study of performance of a variable-speed wind turbine with pitch control based on a Permanent Magnet Synchronous Generator , 2011, Eighth International Multi-Conference on Systems, Signals & Devices.
[50] Yasuhiro Hayashi,et al. Application of tabu search to optimal placement of distributed generators , 2001, 2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194).
[51] Allen J. Wood,et al. Power Generation, Operation, and Control , 1984 .
[52] P. Aravindhababu,et al. Economic dispatch based on optimal lambda using radial basis function network , 2002 .
[53] E.A. DeMeo,et al. Wind plant integration [wind power plants] , 2005, IEEE Power and Energy Magazine.
[54] G. Sheblé,et al. Genetic algorithm solution of economic dispatch with valve point loading , 1993 .
[55] Leon O. Chua,et al. Practical Numerical Algorithms for Chaotic Systems , 1989 .
[56] S. Iniyan,et al. A review of wind energy technologies , 2007 .
[57] Jie Zhang,et al. Optimizing the arrangement and the selection of turbines for wind farms subject to varying wind conditions , 2013 .
[58] Aniruddha Bhattacharya,et al. Solution of multi-objective optimal power flow using gravitational search algorithm , 2012 .
[59] James Kennedy,et al. Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.
[60] Thomas Bäck,et al. An Overview of Evolutionary Algorithms for Parameter Optimization , 1993, Evolutionary Computation.
[61] J.A. Momoh,et al. An approach to determine Distributed Generation (DG) benefits in power networks , 2008, 2008 40th North American Power Symposium.
[62] Saeed Tavakoli,et al. Improved cuckoo search for reliability optimization problems , 2013, Comput. Ind. Eng..
[63] Leandro dos Santos Coelho,et al. Tuning of PID controller for an automatic regulator voltage system using chaotic optimization approach , 2009 .
[64] V. Ajjarapu,et al. Optimal allocation of dynamic VAR for enhancing stability and power quality , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.
[65] Hamed Shah-Hosseini,et al. Intelligent water drops algorithm: A new optimization method for solving the multiple knapsack problem , 2008, Int. J. Intell. Comput. Cybern..
[66] Carlos Cotta,et al. Memetic algorithms and memetic computing optimization: A literature review , 2012, Swarm Evol. Comput..
[67] Carmen L. T. Borges,et al. Optimal distributed generation allocation for reliability, losses, and voltage improvement , 2006 .
[68] J.O.P. Pinto,et al. Genetic algorithm based system identification and PID tuning for optimum adaptive control , 2005, Proceedings, 2005 IEEE/ASME International Conference on Advanced Intelligent Mechatronics..
[69] Intan Zaurah Mat Darus,et al. PID controller tuning using evolutionary algorithms , 2012 .
[70] S. C. Choube,et al. Distributed generation planning using differential evolution accounting voltage stability consideration , 2012 .
[71] Thai-Hoang Huynh,et al. A modified shuffled frog leaping algorithm for optimal tuning of multivariable PID controllers , 2008, 2008 IEEE International Conference on Industrial Technology.
[72] Fangxing Li,et al. Coordinated Tuning of DFIG-Based Wind Turbines and Batteries Using Bacteria Foraging Technique for Maintaining Constant Grid Power Output , 2012, IEEE Systems Journal.
[73] PenChen Chou,et al. Design of PID Controllers Using Genetic Algorithms Approach for Low Damping, Slow Response Plants , 2004, ISNN.
[74] Mohammad-R. Akbarzadeh-T,et al. Magnetic-inspired optimization algorithms: Operators and structures , 2014 .
[75] A. El Hajjaji,et al. Wind energy conversion systems control using T-S fuzzy modeling , 2010, 18th Mediterranean Conference on Control and Automation, MED'10.
[76] Amar Faiz Zainal Abidin,et al. Magnetic Optimization Algorithm Approach For Travelling Salesman Problem , 2012 .
[77] C. D. Gelatt,et al. Optimization by Simulated Annealing , 1983, Science.
[78] Xuefeng F. Yan,et al. Chaos-genetic algorithms for optimizing the operating conditions based on RBF-PLS model , 2003, Comput. Chem. Eng..
[79] Y. W. Wong,et al. Thermal generator scheduling using hybrid genetic/simulated-annealing approach , 1995 .
[80] Tong Heng Lee,et al. On the design of multivariable PID controllers via LMI approach , 2002, Autom..
[81] Janez Brest,et al. Self-Adapting Control Parameters in Differential Evolution: A Comparative Study on Numerical Benchmark Problems , 2006, IEEE Transactions on Evolutionary Computation.
[82] P. Chiradeja,et al. Benefit of Distributed Generation: A Line Loss Reduction Analysis , 2005, 2005 IEEE/PES Transmission & Distribution Conference & Exposition: Asia and Pacific.
[83] Kazem Zare,et al. A solution to the generation scheduling problem in power systems with large-scale wind farms using MICA , 2014 .
[84] M. Y. Hassan,et al. Allocation and sizing of DG using Cuckoo Search algorithm , 2012, 2012 IEEE International Conference on Power and Energy (PECon).
[85] R. C. Dugan,et al. Issues for distributed generation in the US , 2002, 2002 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.02CH37309).
[86] M.H. Tayarani-N,et al. Magnetic Optimization Algorithms a new synthesis , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[87] C. Y. Chung,et al. Coordinated Damping Control Design for DFIG-Based Wind Generation Considering Power Output Variation , 2012, IEEE Transactions on Power Systems.
[88] K. Tomsovic,et al. Placement of dispersed generation systems for reduced losses , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.
[89] Mokhtar S. Bazaraa,et al. Nonlinear Programming: Theory and Algorithms , 1993 .
[90] Taher Niknam,et al. Multi-objective stochastic distribution feeder reconfiguration problem considering hydrogen and thermal energy production by fuel cell power plants , 2012 .
[91] Zafer Bingul. A New PID Tuning Technique Using Differential Evolution for Unstable and Integrating Processes with Time Delay , 2004, ICONIP.
[92] Sancho Salcedo-Sanz,et al. Seeding evolutionary algorithms with heuristics for optimal wind turbines positioning in wind farms , 2011 .
[93] C. Kongnam,et al. A particle swarm optimization for wind energy control problem , 2010 .
[94] Seyed Ali Arefifar,et al. Optimal allocation of distributed generation and reactive sources considering tap positions of voltage regulators as control variables , 2007 .
[95] Thommy Ekelund. Modeling and Linear Quadratic Optimal Control of Wind Turbines , 1997 .
[96] P. K. Chattopadhyay,et al. Fast evolutionary programming techniques for short-term hydrothermal scheduling , 2003 .
[97] Nikolaos V. Sahinidis,et al. Derivative-free optimization: a review of algorithms and comparison of software implementations , 2013, J. Glob. Optim..
[98] Hossein Nezamabadi-pour,et al. GSA: A Gravitational Search Algorithm , 2009, Inf. Sci..
[99] Ali Safa Sadiq,et al. Magnetic Optimization Algorithm for training Multi Layer Perceptron , 2011, 2011 IEEE 3rd International Conference on Communication Software and Networks.
[100] Lingfeng Wang,et al. Reliability-Constrained Optimum Placement of Reclosers and Distributed Generators in Distribution Networks Using an Ant Colony System Algorithm , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[101] G. Sheblé,et al. Power generation operation and control — 2nd edition , 1996 .
[102] Chandrasekhar Yammani,et al. Multiobjective Optimization for Optimal Placement and Size of DG using Shuffled Frog Leaping Algorithm , 2012 .
[103] Xin-She Yang,et al. Engineering optimisation by cuckoo search , 2010 .
[104] K. Ravi,et al. Solving optimum power flow in dynamic environments to minimize tracking errors using dynamic bacterial foraging algorithm , 2013, 2013 International Conference on Advanced Computing and Communication Systems.
[105] Z. Geem. Music-Inspired Harmony Search Algorithm: Theory and Applications , 2009 .
[106] Devender Singh,et al. GA based Optimal Sizing and Placement of Distributed Generation for Loss Minimization , 2007 .
[107] Zwe-Lee Gaing,et al. Particle swarm optimization to solving the economic dispatch considering the generator constraints , 2003 .
[108] Hamed Shah-Hosseini,et al. The intelligent water drops algorithm: a nature-inspired swarm-based optimization algorithm , 2009, Int. J. Bio Inspired Comput..
[109] Steven H. Strogatz,et al. Nonlinear Dynamics and Chaos , 2024 .
[110] W. El-khattam,et al. Optimal investment planning for distributed generation in a competitive electricity market , 2004, IEEE Transactions on Power Systems.
[111] R. Mínguez,et al. Directional calibrated wind and wave reanalysis databases using instrumental data for optimal design of off-shore wind farms , 2011, OCEANS 2011 IEEE - Spain.
[112] Iulian Munteanu,et al. Optimization of variable speed wind power systems based on a LQG approach , 2005 .
[113] Roberto Mínguez,et al. Offshore wind farm layout optimization using mathematical programming techniques , 2013 .
[114] M. Pipattanasomporn,et al. Reliability benefits of distributed generation as a backup source , 2009, 2009 IEEE Power & Energy Society General Meeting.
[115] Ranjit Roy,et al. Economic load dispatch of a power system with wind energy using craziness based shuffled frog leaping algorithm , 2011, ISGT2011-India.
[116] Dervis Karaboga,et al. A modified Artificial Bee Colony algorithm for real-parameter optimization , 2012, Inf. Sci..
[117] Fred W. Glover,et al. A user's guide to tabu search , 1993, Ann. Oper. Res..
[118] H. Duan,et al. PID controller design based on Prey-Predator Pigeon-Inspired Optimization algorithm , 2014, 2014 IEEE International Conference on Mechatronics and Automation.
[119] S. Rao Rayapudi. An Intelligent Water Drop Algorithm for Solving Economic Load Dispatch Problem , 2011 .
[120] P. Paliwal,et al. A comprehensive survey of optimization techniques used for Distributed Generator siting and sizing , 2012, 2012 Proceedings of IEEE Southeastcon.
[121] Hossein Nezamabadi-pour,et al. Filter modeling using gravitational search algorithm , 2011, Eng. Appl. Artif. Intell..
[122] Caro Lucas,et al. Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition , 2007, 2007 IEEE Congress on Evolutionary Computation.
[123] J. Yorke,et al. Chaos: An Introduction to Dynamical Systems , 1997 .
[124] Kalyan Veeramachaneni,et al. Optimizing the Layout of 1000 Wind Turbines , 2011 .
[125] Koffka Khan,et al. An Intelligent Water Droplet-based Evaluation of Health Oriented Distance Learning , 2013 .
[126] F. Glover. HEURISTICS FOR INTEGER PROGRAMMING USING SURROGATE CONSTRAINTS , 1977 .
[127] A. Ebenezer Jeyakumar,et al. Hybrid PSO–SQP for economic dispatch with valve-point effect , 2004 .
[128] Markus Wagner,et al. A Fast and Effective Local Search Algorithm for Optimizing the Placement of Wind Turbines , 2012, ArXiv.
[129] Hamed Shah-Hosseini,et al. Optimization with the Nature-Inspired Intelligent Water Drops Algorithm , 2009 .
[130] Garret N. Vanderplaats,et al. Numerical Optimization Techniques for Engineering Design: With Applications , 1984 .
[131] Jan K. Sykulski,et al. Application of pattern search method to power system valve-point economic load dispatch , 2007 .
[132] Bijaya Ketan Panigrahi,et al. Adaptive particle swarm optimization approach for static and dynamic economic load dispatch , 2008 .
[133] Ahlstrom,et al. The future of wind forecasting and utility operations , 2005, IEEE Power and Energy Magazine.
[134] R. Minguez,et al. Component failure simulation tool for optimal electrical configuration and repair strategy design of off-shore wind farms , 2011, OCEANS 2011 IEEE - Spain.
[135] Andrew Kusiak,et al. Design of wind farm layout for maximum wind energy capture , 2010 .
[136] D. Karaboga,et al. On the performance of artificial bee colony (ABC) algorithm , 2008, Appl. Soft Comput..
[137] N. Deeb,et al. Simulated annealing in power systems , 1992, [Proceedings] 1992 IEEE International Conference on Systems, Man, and Cybernetics.
[138] Haibin Duan,et al. Pigeon-inspired optimization: a new swarm intelligence optimizer for air robot path planning , 2014, Int. J. Intell. Comput. Cybern..
[139] Malabika Basu. Artificial immune system for combined heat and power economic dispatch , 2012 .
[140] Jiang Wu,et al. Novel intelligent water drops optimization approach to single UCAV smooth trajectory planning , 2009 .
[141] Thomas Stützle,et al. Ant Colony Optimization and Swarm Intelligence, 6th International Conference, ANTS 2008, Brussels, Belgium, September 22-24, 2008. Proceedings , 2008, ANTS Conference.
[142] Ling Wang,et al. An effective differential harmony search algorithm for the solving non-convex economic load dispatch problems , 2013 .
[143] Ruijun Dong,et al. Differential Evolution Versus Particle Swarm Optimization for PID Controller Design , 2009, 2009 Fifth International Conference on Natural Computation.
[144] M.-R. Haghifam,et al. ACO Based Algorithm for Distributed Generation Sources Allocation and Sizing in Distribution Systems , 2007, 2007 IEEE Lausanne Power Tech.
[145] Carlo Poloni,et al. Optimization of wind turbine positioning in large windfarms by means of a genetic algorithm , 1994 .
[146] Rainer Storn,et al. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..
[147] S. C. Srivastava,et al. PSO based placement of multiple wind DGs and capacitors utilizing probabilistic load flow model , 2014, Swarm Evol. Comput..
[148] Serhat Duman,et al. GRAVITATIONAL SEARCH ALGORITHM FOR ECONOMIC DISPATCH WITH VALVE-POINT EFFECTS , 2010 .
[149] Mitra Basu,et al. Artificial immune system for fixed head hydrothermal power system , 2011 .
[150] Xiaoyi Che,et al. Tuning PID control parameters on hydraulic servo control system based on differential evolution algorithm , 2010, 2010 2nd International Conference on Advanced Computer Control.
[151] Jin-Sung Kim,et al. Auto Tuning PID Controller based on Improved Genetic Algorithm for Reverse Osmosis Plant , 2008 .
[152] Weerakorn Ongsakul,et al. Cuckoo search algorithm for non-convex economic dispatch , 2013 .
[153] Yue Yuan,et al. Analysis of the environmental benefits of Distributed Generation , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.
[154] R. Storn,et al. On the usage of differential evolution for function optimization , 1996, Proceedings of North American Fuzzy Information Processing.
[155] Francisco Jurado,et al. A binary SFLA for probabilistic three-phase load flow in unbalanced distribution systems with technical constraints , 2013 .
[156] Whei-Min Lin,et al. A New Elman Neural Network-Based Control Algorithm for Adjustable-Pitch Variable-Speed Wind-Energy Conversion Systems , 2011, IEEE Transactions on Power Electronics.
[157] Luciano Castillo,et al. Unrestricted wind farm layout optimization (UWFLO): Investigating key factors influencing the maximum power generation , 2012 .
[158] M. J. Balas,et al. Non-Linear and Linear Model Based Controller Design for Variable-Speed Wind Turbines , 1999 .
[159] Alagan Anpalagan,et al. Optimization classification, algorithms and tools for renewable energy: A review , 2014 .
[160] Abd Allah A. Mousa,et al. Hybrid ant optimization system for multiobjective economic emission load dispatch problem under fuzziness , 2014, Swarm Evol. Comput..
[161] James F. Manwell,et al. Offshore Wind Farm Layout Optimization (OWFLO) Project: Preliminary Results , 2006 .
[162] Antonio José Gil Mena,et al. Optimal distributed generation location and size using a modified teaching–learning based optimization algorithm , 2013 .