Online load frequency control in wind integrated power systems using modified Jaya optimization
The Jaya optimization algorithm is recognized as a simple and faster population-based heuristic search algorithm. However, due to the absence of algorithm-specified parameter, its performance may degrade in terms of convergence speed and obtain the optimal value for the real-world complex optimizati...
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| Vydáno v: | Engineering applications of artificial intelligence Ročník 77; s. 212 - 228 |
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| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Elsevier Ltd
01.01.2019
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| ISSN: | 0952-1976, 1873-6769 |
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| Abstract | The Jaya optimization algorithm is recognized as a simple and faster population-based heuristic search algorithm. However, due to the absence of algorithm-specified parameter, its performance may degrade in terms of convergence speed and obtain the optimal value for the real-world complex optimization problems which are usually nonlinear and non-differentiable in nature. To deal with the aforesaid scenarios, a modified Jaya optimization algorithm (MJOA) is proposed by considering a weight parameter in the search process. Two methods are proposed on the basis of the selection of weight parameter, one is a linear weight (LW) and the other is a fuzzy logic based mechanism. It is found that MJOA is quite accurate and faster in convergence for complex problems. The proposed MJOA has used for online tuning the controller parameters of automatic generation control (AGC) of wind integrated power system. Further, a frequency deviation tolerance concept is proposed to reduce the number of executions of MJOA. The proposed methodology helps in recovering the frequency excursions of the power system with a faster convergence performance and requirements of less computational burden. Such features are very important in smart-grid operational necessities for improving its stability performance. The real-time simulation studies are carried out on an embedded platform using xPC target board of the wind farm integrated IEEE-39 bus test system.
•Modified the JAYA optimization algorithm (MJOA) by embedding weight parameter.•Linear weight and fuzzy-based methods are implemented to vary the weight parameter.•The MJOA is successfully tested for online load frequency control in power system.•Frequency deviation tolerance concept to reduce the number of executions of MJOA. |
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| AbstractList | The Jaya optimization algorithm is recognized as a simple and faster population-based heuristic search algorithm. However, due to the absence of algorithm-specified parameter, its performance may degrade in terms of convergence speed and obtain the optimal value for the real-world complex optimization problems which are usually nonlinear and non-differentiable in nature. To deal with the aforesaid scenarios, a modified Jaya optimization algorithm (MJOA) is proposed by considering a weight parameter in the search process. Two methods are proposed on the basis of the selection of weight parameter, one is a linear weight (LW) and the other is a fuzzy logic based mechanism. It is found that MJOA is quite accurate and faster in convergence for complex problems. The proposed MJOA has used for online tuning the controller parameters of automatic generation control (AGC) of wind integrated power system. Further, a frequency deviation tolerance concept is proposed to reduce the number of executions of MJOA. The proposed methodology helps in recovering the frequency excursions of the power system with a faster convergence performance and requirements of less computational burden. Such features are very important in smart-grid operational necessities for improving its stability performance. The real-time simulation studies are carried out on an embedded platform using xPC target board of the wind farm integrated IEEE-39 bus test system.
•Modified the JAYA optimization algorithm (MJOA) by embedding weight parameter.•Linear weight and fuzzy-based methods are implemented to vary the weight parameter.•The MJOA is successfully tested for online load frequency control in power system.•Frequency deviation tolerance concept to reduce the number of executions of MJOA. |
| Author | Pradhan, Chittaranjan Bhende, Chandrashekhar N. |
| Author_xml | – sequence: 1 givenname: Chittaranjan surname: Pradhan fullname: Pradhan, Chittaranjan – sequence: 2 givenname: Chandrashekhar N. surname: Bhende fullname: Bhende, Chandrashekhar N. email: cnb@iitbbs.ac.in |
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| Cites_doi | 10.1016/j.est.2017.05.009 10.1109/TEC.2005.853757 10.1080/15325008.2011.647239 10.1109/TII.2015.2496309 10.1016/j.ijepes.2006.07.005 10.1080/23311916.2016.1151612 10.1007/BFb0040810 10.1016/j.asoc.2010.08.022 10.1016/j.enconman.2004.02.022 10.1016/j.engappai.2017.01.008 10.1109/JSYST.2011.2163028 10.1109/TPWRS.2009.2016588 10.1016/j.engappai.2017.04.007 10.1049/iet-cta.2015.1021 10.1016/j.ijepes.2012.04.040 10.1109/TPWRS.2004.840438 10.1109/TSTE.2013.2290126 10.1109/TPWRS.2016.2537984 10.1016/j.rser.2017.02.064 10.1016/j.ijepes.2012.03.039 10.1016/j.rser.2013.04.029 10.1109/TSG.2016.2582804 10.1080/15325008.2013.809824 10.1016/j.swevo.2017.05.002 10.1109/3477.584952 10.1016/j.robot.2016.07.005 10.1016/j.epsr.2007.10.007 10.1016/j.ijepes.2011.01.029 10.1016/j.renene.2017.08.065 10.1016/j.ijepes.2015.05.050 10.1016/j.swevo.2017.04.008 10.1016/j.renene.2011.08.035 10.1080/15325008.2012.675802 10.1016/j.rser.2017.01.053 10.1016/j.ijepes.2015.07.025 10.1016/j.ijepes.2016.01.037 10.1080/15325008.2016.1183153 |
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| Keywords | Fuzzy logic Wind integrated power system Real-time optimization Jaya optimization algorithm Load frequency control |
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| References | Kothari, Nagrath (b26) 2009 Dong, Tang, He, Sun (b13) 2017; 32 Pandey, Mohanty, Kishor (b33) 2013; 25 Xu, Xu (b48) 2016 Liu, Kong, Lee (b27) 2016; 80 Hosseini, Etemadi (b21) 2008; 78 Liu, Kong, Lee (b28) 2016; 10 Pradhan, Bhende (b37) 2016; 44 Shankar, Pradhan, Chatterjee, Mandal (b43) 2017; 76 Yao (b52) 1999 Cam, Kocaarslan (b9) 2005; 46 Ibraheem, Hasan, Nizamuddin (b24) 2012; 40 Nanda, Mangla, Suri (b31) 2006; 21 Babahajiani, Shafiee, Bevrani (b3) 2018; 9 . Ibraheem, Kumar, Kothari (b25) 2005; 20 Pradhan, Bhende (b38) 2017; 32 Chaer, Bishop, Ghosh (b10) 1997; 27 Bevrani, Daneshmand, Daneshfar (b7) 2010 Shi, Y., Eberhart, R.C., 2001. Fuzzy Adaptive Particle Swarm Optimization. In: Proc. of the 2001 Congress on Evolutionary Computation, Seoul, Vol. 1, pp. 101-106. Singh, Prakash, Singh, Babu (b46) 2017; 60 Gao, Zhang, Sadollah, Lentzakis, Su (b17) 2017; 37 Elsisia, Solimana, Aboelelab, Mansoura (b14) 2017; 12 Yang, Deb (b51) 2010; 1 Pradhan, Bhende, Samanta (b39) 2018; 115 Chandra Sekhar, Sahu, Baliarsingh, Panda (b11) 2016; 74 Gupta, Saxena (b19) 2016; 3 Rao (b40) 2016; 7 Bevrani, Daneshmand, Babahajyani, Mitani, Hiyama (b6) 2014; 5 Nanda, Mishra, Saikia (b32) 2009; 24 Yang (b49) 2008 Gozde, Taplamacioglu, Kocaarslan (b18) 2012; 42 Demiroren, Zeynelgil (b12) 2007; 29 Fister, Safaric (b16) 2016; 84 Yang (b50) 2010 Bhatt, Ghoshal, Roy (b8) 2012; 40 Pappachen, Fathima (b34) 2017; 76 Bevrani, Daneshmand (b5) 2012; 6 Liu, Liu, Chung, Cartes (b29) 2011; 11 Saikia, Mishra, Sinha, Nanda (b42) 2011; 33 Abdelaziz, Ali (b2) 2015; 73 Wen, Hu, Hu, Shi, Chen (b47) 2016; 12 Pradhan, Bhende (b36) 2015 Shi, Y.H., Eberhart, R.C., 1998. Parameter selection in particle swarm optimization, Annual Conf. on Evolutionary Programming, San Diego, 591-600. Elyas (b15) 2012; 40 MatlabTutorial Huang, Xianzhong, Zang (b23) 2013; 41 Aarts, Korst (b1) 1989 Hamza, Yap, Choudhury (b20) 2017; 62 Parmar, Majhi, Kothari (b35) 2012; 42 Rao, Saroj (b41) 2017; 37 Bevrani (b4) 2009 Liu (10.1016/j.engappai.2018.10.003_b29) 2011; 11 Elyas (10.1016/j.engappai.2018.10.003_b15) 2012; 40 Yang (10.1016/j.engappai.2018.10.003_b50) 2010 10.1016/j.engappai.2018.10.003_b30 Hosseini (10.1016/j.engappai.2018.10.003_b21) 2008; 78 Bhatt (10.1016/j.engappai.2018.10.003_b8) 2012; 40 Kothari (10.1016/j.engappai.2018.10.003_b26) 2009 Fister (10.1016/j.engappai.2018.10.003_b16) 2016; 84 Yao (10.1016/j.engappai.2018.10.003_b52) 1999 Babahajiani (10.1016/j.engappai.2018.10.003_b3) 2018; 9 Pradhan (10.1016/j.engappai.2018.10.003_b36) 2015 Bevrani (10.1016/j.engappai.2018.10.003_b6) 2014; 5 Liu (10.1016/j.engappai.2018.10.003_b27) 2016; 80 Parmar (10.1016/j.engappai.2018.10.003_b35) 2012; 42 Cam (10.1016/j.engappai.2018.10.003_b9) 2005; 46 Aarts (10.1016/j.engappai.2018.10.003_b1) 1989 Dong (10.1016/j.engappai.2018.10.003_b13) 2017; 32 Chandra Sekhar (10.1016/j.engappai.2018.10.003_b11) 2016; 74 10.1016/j.engappai.2018.10.003_b22 Pradhan (10.1016/j.engappai.2018.10.003_b37) 2016; 44 Chaer (10.1016/j.engappai.2018.10.003_b10) 1997; 27 Pradhan (10.1016/j.engappai.2018.10.003_b38) 2017; 32 Gao (10.1016/j.engappai.2018.10.003_b17) 2017; 37 Ibraheem (10.1016/j.engappai.2018.10.003_b24) 2012; 40 Wen (10.1016/j.engappai.2018.10.003_b47) 2016; 12 Pappachen (10.1016/j.engappai.2018.10.003_b34) 2017; 76 Yang (10.1016/j.engappai.2018.10.003_b51) 2010; 1 Gupta (10.1016/j.engappai.2018.10.003_b19) 2016; 3 Gozde (10.1016/j.engappai.2018.10.003_b18) 2012; 42 Pradhan (10.1016/j.engappai.2018.10.003_b39) 2018; 115 Rao (10.1016/j.engappai.2018.10.003_b40) 2016; 7 Bevrani (10.1016/j.engappai.2018.10.003_b4) 2009 Singh (10.1016/j.engappai.2018.10.003_b46) 2017; 60 Bevrani (10.1016/j.engappai.2018.10.003_b5) 2012; 6 Nanda (10.1016/j.engappai.2018.10.003_b32) 2009; 24 Demiroren (10.1016/j.engappai.2018.10.003_b12) 2007; 29 Liu (10.1016/j.engappai.2018.10.003_b28) 2016; 10 Yang (10.1016/j.engappai.2018.10.003_b49) 2008 Hamza (10.1016/j.engappai.2018.10.003_b20) 2017; 62 Saikia (10.1016/j.engappai.2018.10.003_b42) 2011; 33 Bevrani (10.1016/j.engappai.2018.10.003_b7) 2010 Elsisia (10.1016/j.engappai.2018.10.003_b14) 2017; 12 Xu (10.1016/j.engappai.2018.10.003_b48) 2016 10.1016/j.engappai.2018.10.003_b45 10.1016/j.engappai.2018.10.003_b44 Abdelaziz (10.1016/j.engappai.2018.10.003_b2) 2015; 73 Nanda (10.1016/j.engappai.2018.10.003_b31) 2006; 21 Huang (10.1016/j.engappai.2018.10.003_b23) 2013; 41 Ibraheem (10.1016/j.engappai.2018.10.003_b25) 2005; 20 Pandey (10.1016/j.engappai.2018.10.003_b33) 2013; 25 Shankar (10.1016/j.engappai.2018.10.003_b43) 2017; 76 Rao (10.1016/j.engappai.2018.10.003_b41) 2017; 37 |
| References_xml | – volume: 11 start-page: 2556 year: 2011 end-page: 2564 ident: b29 article-title: real-time particle swarm optimization based parameter identification applied to permanent magnet synchronous machine publication-title: Appl. Soft Comput. – volume: 10 start-page: 1653 year: 2016 end-page: 1664 ident: b28 article-title: Distributed model predictive control for load frequency control with dynamic fuzzy valve position modelling for hydro–thermal power system publication-title: IET Control Theory Appl. – volume: 12 start-page: 69 year: 2016 end-page: 78 ident: b47 article-title: Frequency regulation of source-grid load systems: a compound control strategy publication-title: IEEE Trans. Ind. Inf. – volume: 9 start-page: 1282 year: 2018 end-page: 1291 ident: b3 article-title: Intelligent demand response contribution in frequency control of multi-area power systems publication-title: IEEE Trans. Smart Grid – reference: Shi, Y.H., Eberhart, R.C., 1998. Parameter selection in particle swarm optimization, Annual Conf. on Evolutionary Programming, San Diego, 591-600. – volume: 40 start-page: 40 year: 2012 end-page: 50 ident: b8 article-title: Coordinated control of TCPS and SMES for frequency regulation of interconnected restructured power systems with dynamic participation from DFIG based wind farm publication-title: Renew. Energy – volume: 33 start-page: 101 year: 2011 end-page: 1108 ident: b42 article-title: Automatic generation control of a multi area hydrothermal system using reinforced learning neural network controller publication-title: Int. J. Electr. Power Energy Syst. – reference: Shi, Y., Eberhart, R.C., 2001. Fuzzy Adaptive Particle Swarm Optimization. In: Proc. of the 2001 Congress on Evolutionary Computation, Seoul, Vol. 1, pp. 101-106. – start-page: 65 year: 2010 end-page: 74 ident: b50 article-title: A new metaheuristic bat-inspired algorithm publication-title: Nature Inspired Cooperative Strategies for Optimization ( NICSO 2010) – volume: 3 start-page: 1 year: 2016 end-page: 20 ident: b19 article-title: Grey wolf optimizer based regulator design for automatic generation control of interconnected power system publication-title: Cogent Eng. – volume: 37 start-page: 1 year: 2017 end-page: 26 ident: b41 article-title: A self-adaptive multi-population based Jaya algorithm for engineering optimization publication-title: Swarm Evol. Comput. – volume: 27 start-page: 452 year: 1997 end-page: 464 ident: b10 article-title: A mixture-of-experts framework for adaptive kalman filtering publication-title: IEEE Trans. Syst. Man. Cybern. B – volume: 40 start-page: 977 year: 2012 end-page: 994 ident: b24 article-title: Suboptimal automatic generation control of interconnected power system using output vector feedback control strategy publication-title: Elect. Power Compon. Syst. – volume: 21 start-page: 187 year: 2006 end-page: 193 ident: b31 article-title: Some findings on automatic generation control of an interconnected hydrothermal system with conventional controllers publication-title: IEEE Trans. Energy Convers. – volume: 5 start-page: 655 year: 2014 end-page: 662 ident: b6 article-title: Intelligent LFC concerning high penetration of wind power: synthesis and real-time application publication-title: IEEE Trans. Sustain. Energy – volume: 44 start-page: 1669 year: 2016 end-page: 1682 ident: b37 article-title: Enhancement in primary frequency regulation of wind generator using fuzzy-based control publication-title: Electr. Power Compon. Syst. – volume: 20 start-page: 346 year: 2005 end-page: 357 ident: b25 article-title: Recent philosophies of automatic generation control strategies in power systems publication-title: IEEE Trans. Power Syst. – volume: 74 start-page: 195 year: 2016 end-page: 211 ident: b11 article-title: Load frequency control of power system under deregulated environment using optimal firefly algorithm publication-title: Int. J Electr. Power Energy Syst. – volume: 24 start-page: 602 year: 2009 end-page: 609 ident: b32 article-title: Maiden application of bacterial foraging based optimization technique in multiarea automatic generation control publication-title: IEEE Trans. Power Syst. – volume: 73 start-page: 632 year: 2015 end-page: 647 ident: b2 article-title: Cuckoo search algorithm based load frequency controller design for nonlinear interconnected power system publication-title: Int. J Electr. Power Energy Syst. – volume: 42 start-page: 426 year: 2012 end-page: 433 ident: b35 article-title: Load frequency control of a realistic power system with multi-source power generation publication-title: Int. J. Electr. Power Energy Syst. – year: 2009 ident: b4 article-title: Robust Power System Frequency Control – volume: 76 start-page: 163 year: 2017 end-page: 177 ident: b34 article-title: Critical research areas on load frequency control issues in a deregulated power system: a state-of-the-art-of-review publication-title: Renewable Sustainable Energy Rev. – volume: 32 start-page: 1016 year: 2017 end-page: 1029 ident: b38 article-title: Frequency sensitivity analysis of load damping co-efficient in wind integrated power system publication-title: IEEE Trans. Power Syst. – volume: 76 start-page: 1185 year: 2017 end-page: 1207 ident: b43 article-title: A comprehensive state of the art literature survey on LFC mechanism for power system publication-title: Renewable Sustainable Energy Rev. – volume: 1 start-page: 330 year: 2010 end-page: 343 ident: b51 article-title: Engineering optimisation by cuckoo search publication-title: Int. J. Math. Modell. Numer. Optim. – volume: 40 start-page: 513 year: 2012 end-page: 533 ident: b15 article-title: Intelligent linear-quadratic optimal output feedback regulator for a deregulated automatic generation control system publication-title: Elect. Power Compon. Syst. – volume: 115 start-page: 558 year: 2018 end-page: 574 ident: b39 article-title: Adaptive virtual inertia-based frequency regulation in wind power systems publication-title: Renew. Energy – volume: 12 start-page: 311 year: 2017 end-page: 318 ident: b14 article-title: Optimal design of model predictive control with superconducting magnetic energy storage for load frequency control of nonlinear hydrothermal power system using bat inspired algorithm publication-title: J. Energy Storage – volume: 37 start-page: 58 year: 2017 end-page: 72 ident: b17 article-title: Jaya, harmony search and water cycle algorithms for solving large-scale real-life urban traffic light scheduling problem publication-title: Swarm Evol. Comput. – year: 1999 ident: b52 article-title: Evolutionary Computation: Theory and Applications – volume: 78 start-page: 1230 year: 2008 end-page: 1239 ident: b21 article-title: Adaptive neuro-fuzzy inference system based automatic generation control publication-title: Electr. Power Syst. Res. – year: 2016 ident: b48 article-title: GPS: Theory, Algorithms and Applications – start-page: 407 year: 2010 end-page: 437 ident: b7 article-title: Intelligent power system frequency regulation concerning the integration of wind power units publication-title: Wind Pow. System: Application of Computational Intelligence – reference: MatlabTutorial: – start-page: 13 year: 2015 end-page: 18 ident: b36 article-title: Enhancement in primary frequency contribution using dynamic deloading of wind turbines publication-title: 9th IFAC Symposium on Control of Power and Energy Systems ( CPES), Vol. 48, no. 30 – volume: 6 start-page: 173 year: 2012 end-page: 180 ident: b5 article-title: Fuzzy logic-based load-frequency control concerning high penetration of wind turbines publication-title: IEEE Syst. J. – volume: 42 start-page: 167 year: 2012 end-page: 178 ident: b18 article-title: Comparative performance analysis of artificial bee colony algorithm in automatic generation control for interconnected reheat thermal power system publication-title: Int. J. Electr. Power Energy Syst. – volume: 60 start-page: 35 year: 2017 end-page: 44 ident: b46 article-title: Analytic hierarchy process based automatic generation control of multi-area interconnected power system using Jaya algorithm publication-title: Eng. Appl. Artif. Intell. – volume: 80 start-page: 52 year: 2016 end-page: 63 ident: b27 article-title: Automatic generation control of a multi-area system using ant lion optimizer algorithm based PID plus second order derivative controller publication-title: Int. J. Electr. Power Energy Syst. – year: 2009 ident: b26 article-title: Modern Power System Analysis – volume: 25 year: 2013 ident: b33 article-title: Nanda kishor a literature survey on load–frequency control for conventional and distribution generation power systems publication-title: Renewable Sustainable Energy Rev. – volume: 62 start-page: 134 year: 2017 end-page: 151 ident: b20 article-title: Cuckoo search algorithm based design of interval Type-2 Fuzzy PID Controller for Furuta pendulum system publication-title: Eng. Appl. Artif. Intell. – reference: . – year: 2008 ident: b49 article-title: Nature-inspired Metaheuristic Algorithms – volume: 7 start-page: 19 year: 2016 end-page: 34 ident: b40 article-title: Jaya: a simple and new optimization algorithm for solving constrained and unconstrained optimization problems publication-title: Int. J. Ind. Eng. Comput. – volume: 32 start-page: 581 year: 2017 end-page: 589 ident: b13 article-title: An event-triggered approach for load frequency control with supplementary ADP publication-title: IEEE Trans. Power Syst. – volume: 46 start-page: 233 year: 2005 end-page: 243 ident: b9 article-title: Load frequency control in two area power systems using fuzzy logic controller publication-title: Energy Convers. Manage. – volume: 41 start-page: 1075 year: 2013 end-page: 1099 ident: b23 article-title: Robust load frequency controller design based on a new strict model publication-title: Elect. Power Compon. Syst. – year: 1989 ident: b1 article-title: Simulated Annealing and Boltzmann Machines – volume: 84 start-page: 64 year: 2016 end-page: 75 ident: b16 article-title: Parameter tuning of PID controller with reactive natured-inspired algorithms publication-title: Robot. Auton. Syst. – volume: 29 start-page: 230 year: 2007 end-page: 240 ident: b12 article-title: GA application to optimization of AGC in three area power system after deregulation publication-title: Int. J. Electr. Power Energy Syst. – volume: 12 start-page: 311 year: 2017 ident: 10.1016/j.engappai.2018.10.003_b14 article-title: Optimal design of model predictive control with superconducting magnetic energy storage for load frequency control of nonlinear hydrothermal power system using bat inspired algorithm publication-title: J. Energy Storage doi: 10.1016/j.est.2017.05.009 – ident: 10.1016/j.engappai.2018.10.003_b22 – volume: 21 start-page: 187 issue: 1 year: 2006 ident: 10.1016/j.engappai.2018.10.003_b31 article-title: Some findings on automatic generation control of an interconnected hydrothermal system with conventional controllers publication-title: IEEE Trans. Energy Convers. doi: 10.1109/TEC.2005.853757 – volume: 7 start-page: 19 year: 2016 ident: 10.1016/j.engappai.2018.10.003_b40 article-title: Jaya: a simple and new optimization algorithm for solving constrained and unconstrained optimization problems publication-title: Int. J. Ind. Eng. Comput. – volume: 40 start-page: 513 issue: 5 year: 2012 ident: 10.1016/j.engappai.2018.10.003_b15 article-title: Intelligent linear-quadratic optimal output feedback regulator for a deregulated automatic generation control system publication-title: Elect. Power Compon. Syst. doi: 10.1080/15325008.2011.647239 – volume: 12 start-page: 69 issue: 1 year: 2016 ident: 10.1016/j.engappai.2018.10.003_b47 article-title: Frequency regulation of source-grid load systems: a compound control strategy publication-title: IEEE Trans. Ind. Inf. doi: 10.1109/TII.2015.2496309 – volume: 29 start-page: 230 issue: 3 year: 2007 ident: 10.1016/j.engappai.2018.10.003_b12 article-title: GA application to optimization of AGC in three area power system after deregulation publication-title: Int. J. Electr. Power Energy Syst. doi: 10.1016/j.ijepes.2006.07.005 – year: 2009 ident: 10.1016/j.engappai.2018.10.003_b4 – volume: 3 start-page: 1 issue: 1 year: 2016 ident: 10.1016/j.engappai.2018.10.003_b19 article-title: Grey wolf optimizer based regulator design for automatic generation control of interconnected power system publication-title: Cogent Eng. doi: 10.1080/23311916.2016.1151612 – ident: 10.1016/j.engappai.2018.10.003_b44 doi: 10.1007/BFb0040810 – volume: 11 start-page: 2556 issue: 2 year: 2011 ident: 10.1016/j.engappai.2018.10.003_b29 article-title: real-time particle swarm optimization based parameter identification applied to permanent magnet synchronous machine publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2010.08.022 – year: 1989 ident: 10.1016/j.engappai.2018.10.003_b1 – year: 2008 ident: 10.1016/j.engappai.2018.10.003_b49 – volume: 46 start-page: 233 issue: 2 year: 2005 ident: 10.1016/j.engappai.2018.10.003_b9 article-title: Load frequency control in two area power systems using fuzzy logic controller publication-title: Energy Convers. Manage. doi: 10.1016/j.enconman.2004.02.022 – volume: 60 start-page: 35 year: 2017 ident: 10.1016/j.engappai.2018.10.003_b46 article-title: Analytic hierarchy process based automatic generation control of multi-area interconnected power system using Jaya algorithm publication-title: Eng. Appl. Artif. Intell. doi: 10.1016/j.engappai.2017.01.008 – volume: 6 start-page: 173 issue: 1 year: 2012 ident: 10.1016/j.engappai.2018.10.003_b5 article-title: Fuzzy logic-based load-frequency control concerning high penetration of wind turbines publication-title: IEEE Syst. J. doi: 10.1109/JSYST.2011.2163028 – volume: 24 start-page: 602 issue: 2 year: 2009 ident: 10.1016/j.engappai.2018.10.003_b32 article-title: Maiden application of bacterial foraging based optimization technique in multiarea automatic generation control publication-title: IEEE Trans. Power Syst. doi: 10.1109/TPWRS.2009.2016588 – ident: 10.1016/j.engappai.2018.10.003_b45 – year: 2009 ident: 10.1016/j.engappai.2018.10.003_b26 – volume: 62 start-page: 134 year: 2017 ident: 10.1016/j.engappai.2018.10.003_b20 article-title: Cuckoo search algorithm based design of interval Type-2 Fuzzy PID Controller for Furuta pendulum system publication-title: Eng. Appl. Artif. Intell. doi: 10.1016/j.engappai.2017.04.007 – volume: 10 start-page: 1653 year: 2016 ident: 10.1016/j.engappai.2018.10.003_b28 article-title: Distributed model predictive control for load frequency control with dynamic fuzzy valve position modelling for hydro–thermal power system publication-title: IET Control Theory Appl. doi: 10.1049/iet-cta.2015.1021 – volume: 42 start-page: 426 issue: 1 year: 2012 ident: 10.1016/j.engappai.2018.10.003_b35 article-title: Load frequency control of a realistic power system with multi-source power generation publication-title: Int. J. Electr. Power Energy Syst. doi: 10.1016/j.ijepes.2012.04.040 – volume: 20 start-page: 346 issue: 1 year: 2005 ident: 10.1016/j.engappai.2018.10.003_b25 article-title: Recent philosophies of automatic generation control strategies in power systems publication-title: IEEE Trans. Power Syst. doi: 10.1109/TPWRS.2004.840438 – volume: 5 start-page: 655 issue: 2 year: 2014 ident: 10.1016/j.engappai.2018.10.003_b6 article-title: Intelligent LFC concerning high penetration of wind power: synthesis and real-time application publication-title: IEEE Trans. Sustain. Energy doi: 10.1109/TSTE.2013.2290126 – volume: 32 start-page: 581 issue: 1 year: 2017 ident: 10.1016/j.engappai.2018.10.003_b13 article-title: An event-triggered approach for load frequency control with supplementary ADP publication-title: IEEE Trans. Power Syst. doi: 10.1109/TPWRS.2016.2537984 – volume: 76 start-page: 1185 year: 2017 ident: 10.1016/j.engappai.2018.10.003_b43 article-title: A comprehensive state of the art literature survey on LFC mechanism for power system publication-title: Renewable Sustainable Energy Rev. doi: 10.1016/j.rser.2017.02.064 – year: 1999 ident: 10.1016/j.engappai.2018.10.003_b52 – volume: 42 start-page: 167 issue: 1 year: 2012 ident: 10.1016/j.engappai.2018.10.003_b18 article-title: Comparative performance analysis of artificial bee colony algorithm in automatic generation control for interconnected reheat thermal power system publication-title: Int. J. Electr. Power Energy Syst. doi: 10.1016/j.ijepes.2012.03.039 – volume: 25 year: 2013 ident: 10.1016/j.engappai.2018.10.003_b33 article-title: Nanda kishor a literature survey on load–frequency control for conventional and distribution generation power systems publication-title: Renewable Sustainable Energy Rev. doi: 10.1016/j.rser.2013.04.029 – volume: 9 start-page: 1282 issue: 2 year: 2018 ident: 10.1016/j.engappai.2018.10.003_b3 article-title: Intelligent demand response contribution in frequency control of multi-area power systems publication-title: IEEE Trans. Smart Grid doi: 10.1109/TSG.2016.2582804 – volume: 41 start-page: 1075 issue: 11 year: 2013 ident: 10.1016/j.engappai.2018.10.003_b23 article-title: Robust load frequency controller design based on a new strict model publication-title: Elect. Power Compon. Syst. doi: 10.1080/15325008.2013.809824 – volume: 37 start-page: 58 year: 2017 ident: 10.1016/j.engappai.2018.10.003_b17 article-title: Jaya, harmony search and water cycle algorithms for solving large-scale real-life urban traffic light scheduling problem publication-title: Swarm Evol. Comput. doi: 10.1016/j.swevo.2017.05.002 – volume: 27 start-page: 452 issue: 3 year: 1997 ident: 10.1016/j.engappai.2018.10.003_b10 article-title: A mixture-of-experts framework for adaptive kalman filtering publication-title: IEEE Trans. Syst. Man. Cybern. B doi: 10.1109/3477.584952 – volume: 84 start-page: 64 year: 2016 ident: 10.1016/j.engappai.2018.10.003_b16 article-title: Parameter tuning of PID controller with reactive natured-inspired algorithms publication-title: Robot. Auton. Syst. doi: 10.1016/j.robot.2016.07.005 – ident: 10.1016/j.engappai.2018.10.003_b30 – start-page: 407 year: 2010 ident: 10.1016/j.engappai.2018.10.003_b7 article-title: Intelligent power system frequency regulation concerning the integration of wind power units – volume: 78 start-page: 1230 issue: 7 year: 2008 ident: 10.1016/j.engappai.2018.10.003_b21 article-title: Adaptive neuro-fuzzy inference system based automatic generation control publication-title: Electr. Power Syst. Res. doi: 10.1016/j.epsr.2007.10.007 – volume: 33 start-page: 101 issue: 4 year: 2011 ident: 10.1016/j.engappai.2018.10.003_b42 article-title: Automatic generation control of a multi area hydrothermal system using reinforced learning neural network controller publication-title: Int. J. Electr. Power Energy Syst. doi: 10.1016/j.ijepes.2011.01.029 – start-page: 65 year: 2010 ident: 10.1016/j.engappai.2018.10.003_b50 article-title: A new metaheuristic bat-inspired algorithm – volume: 115 start-page: 558 year: 2018 ident: 10.1016/j.engappai.2018.10.003_b39 article-title: Adaptive virtual inertia-based frequency regulation in wind power systems publication-title: Renew. Energy doi: 10.1016/j.renene.2017.08.065 – volume: 73 start-page: 632 year: 2015 ident: 10.1016/j.engappai.2018.10.003_b2 article-title: Cuckoo search algorithm based load frequency controller design for nonlinear interconnected power system publication-title: Int. J Electr. Power Energy Syst. doi: 10.1016/j.ijepes.2015.05.050 – volume: 37 start-page: 1 year: 2017 ident: 10.1016/j.engappai.2018.10.003_b41 article-title: A self-adaptive multi-population based Jaya algorithm for engineering optimization publication-title: Swarm Evol. Comput. doi: 10.1016/j.swevo.2017.04.008 – volume: 40 start-page: 40 issue: 1 year: 2012 ident: 10.1016/j.engappai.2018.10.003_b8 article-title: Coordinated control of TCPS and SMES for frequency regulation of interconnected restructured power systems with dynamic participation from DFIG based wind farm publication-title: Renew. Energy doi: 10.1016/j.renene.2011.08.035 – volume: 40 start-page: 977 issue: 9 year: 2012 ident: 10.1016/j.engappai.2018.10.003_b24 article-title: Suboptimal automatic generation control of interconnected power system using output vector feedback control strategy publication-title: Elect. Power Compon. Syst. doi: 10.1080/15325008.2012.675802 – volume: 76 start-page: 163 year: 2017 ident: 10.1016/j.engappai.2018.10.003_b34 article-title: Critical research areas on load frequency control issues in a deregulated power system: a state-of-the-art-of-review publication-title: Renewable Sustainable Energy Rev. doi: 10.1016/j.rser.2017.01.053 – volume: 74 start-page: 195 year: 2016 ident: 10.1016/j.engappai.2018.10.003_b11 article-title: Load frequency control of power system under deregulated environment using optimal firefly algorithm publication-title: Int. J Electr. Power Energy Syst. doi: 10.1016/j.ijepes.2015.07.025 – start-page: 13 year: 2015 ident: 10.1016/j.engappai.2018.10.003_b36 article-title: Enhancement in primary frequency contribution using dynamic deloading of wind turbines – volume: 1 start-page: 330 issue: 4 year: 2010 ident: 10.1016/j.engappai.2018.10.003_b51 article-title: Engineering optimisation by cuckoo search publication-title: Int. J. Math. Modell. Numer. Optim. – volume: 80 start-page: 52 year: 2016 ident: 10.1016/j.engappai.2018.10.003_b27 article-title: Automatic generation control of a multi-area system using ant lion optimizer algorithm based PID plus second order derivative controller publication-title: Int. J. Electr. Power Energy Syst. doi: 10.1016/j.ijepes.2016.01.037 – volume: 44 start-page: 1669 issue: 15 year: 2016 ident: 10.1016/j.engappai.2018.10.003_b37 article-title: Enhancement in primary frequency regulation of wind generator using fuzzy-based control publication-title: Electr. Power Compon. Syst. doi: 10.1080/15325008.2016.1183153 – volume: 32 start-page: 1016 issue: 2 year: 2017 ident: 10.1016/j.engappai.2018.10.003_b38 article-title: Frequency sensitivity analysis of load damping co-efficient in wind integrated power system publication-title: IEEE Trans. Power Syst. – year: 2016 ident: 10.1016/j.engappai.2018.10.003_b48 |
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| Title | Online load frequency control in wind integrated power systems using modified Jaya optimization |
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