Automatic generation control of multi-area power system using multi-objective non-dominated sorting genetic algorithm-II

International Journal of Electrical Power and Energy Systems

Volumn 53, Issue 1, 2013, Pages 54-63

  Panda, Sidhartha ^a   Yegireddy, Narendra Kumar ^a  

^a VEER SURENDRA SAI UNIVERSITY OF TECHNOLOGY   (India)

Author keywords

Automatic Generation Control (AGC); controller; Governor dead band non linearity; Multi area power system; Non dominated Sorting Genetic Algorithm (NSGA II) algorithm; Pareto solution set; Proportional Integral Derivative (PID)

Indexed keywords

AUTOMATIC GENERATION CONTROL; GOVERNOR DEAD BANDS; MULTI AREA POWER SYSTEMS; NSGA-II; PARETO SOLUTION; PROPORTIONAL INTEGRAL DERIVATIVES;

CONTROLLERS; DESIGN; EIGENVALUES AND EIGENFUNCTIONS; ELECTRIC POWER SYSTEM INTERCONNECTION; GOVERNORS; PARETO PRINCIPLE; PARTICLE SWARM OPTIMIZATION (PSO); PROPORTIONAL CONTROL SYSTEMS; SIGNAL PROCESSING;

GENETIC ALGORITHMS;

EID: 84877763421     PISSN: 01420615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijepes.2013.04.003     Document Type: Article

References (22)

1. P. Kundur Power system stability and control 1994 Mc-Grall Hill New York
2. O.I. Elgerd Electric energy systems theory an introduction 1983 Tata McGraw-Hill New Delhi
3. Ibraheem, P. Kumar, and D.P. Kothari Recent philosophies of automatic generation control strategies in power systems IEEE Trans Power Syst 20 2005 346 357
4. R.R. Shoults, and J.A.J. Ibarra Multi area adaptive LFC developed for a comprehensive AGC simulation IEEE Trans Power Syst 8 1993 541 547
5. D.K. Chaturvedi, P.S. Satsangi, and P.K. Kalra Load frequency control: a generalized neural network approach Elect Power Energy Syst 21 1999 405 415
6. S.P. Ghosal Optimization of PID gains by particle swarm optimization in fuzzy based automatic generation control Electr Power Syst Res 72 2004 203 212
7. T.P.I. Ahamed, P.S.N. Rao, and P.S. Sastry A reinforcement learning approach to automatic generation control Electr Power Syst Res 63 2002 9 26
8. S.R. Khuntia, and S. Panda Simulation study for automatic generation control of a multi-area power system by ANFIS approach Appl Soft Comput 12 2012 333 341
9. L.C. Saikia, J. Nanda, and S. Mishra Performance comparison of several classical controllers in AGC for multi-area interconnected thermal system Int J Elect Power Energy Syst 33 2011 394 401
10. J. Nanda, S. Mishra, and L.C. Saikia Maiden application of bacterial foraging based optimization technique in multiarea automatic generation control IEEE Trans Power Syst 24 2009 602 609
11. E.S. Ali, and S.M. Abd-Elazim Bacteria foraging optimization algorithm based load frequency controller for interconnected power system Int J Elect Power Energy Syst 33 2011 633 638
12. H. Gozde, and M.C. Taplamacioglu Automatic generation control application with craziness based particle swarm optimization in a thermal power system Int J Elect Power Energy Syst 33 2011 8 16
13. S. Panda, B.K. Sahu, and P.K. Mohanty Design and performance analysis of PID controller for automatic voltage regulator system using simplified particle swarm optimization J Franklin Inst 349 2012 2609 2625
14. C.A.C. Coello A comprehensive survey of evolutionary-based multi-objective optimization Knowl Inform Syst 1 1999 269 308
15. K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan A fast elitist multi-objective genetic algorithm: NSGA-II IEEE Trans Evol Comput 6 2002 182 197
16. D.E. Goldberg Genetic algorithms in search, optimization, and machine learning 1989 Addison-Wesley Boston
17. N. Srinivas, and K. Deb Multi-objective optimization using non-dominated sorting in genetic algorithms IEEE Trans Evol Comput 2 1994 221 248
18. S. Panda, and P.I.D. Multi-objective Controller tuning for a FACTS-based damping Stabilizer using non-dominated sorting genetic algorithm-II Int J Electr Power Energy Syst 33 2011 1296 1308
19. H. Gozde, M.C. Taplamacioglu, and I. Kocaarslan Comparative performance analysis of Artificial Bee Colony algorithm in automatic generation control for interconnected reheat thermal power system Int J Elect Power Energy Syst 42 2012 167 178
20. K.P.S. Parmar, S. Majhi, and D.P. Kothari Load frequency control of a realistic power system with multi-source power generation Int J Elect Power Energy Syst 42 2012 426 433
21. R.K. Sahu, S. Panda, and U.K. Rout DE optimized parallel 2-DOF PID controller for load frequency control of power system with governor dead-band nonlinearity Int J Elect Power Energy Syst 49 2013 19 33
22. H. Bevrani Robust power system frequency control 1st ed. 2009 Springer New York