Solution of multi-objective optimal power flow using gravitational search algorithm

IET Generation, Transmission and Distribution

Volumn 6, Issue 8, 2012, Pages 751-763

  Bhattacharya, A ^a   Roy, P K ^a  

^a DR B C ROY ENGINEERING COLLEGE   (India)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVE POWER LOSS; CONVERGENCE SPEED; FUEL COST; GLOBAL SEARCH ABILITY; GRAVITATIONAL SEARCH ALGORITHMS; HEURISTIC TECHNIQUES; IEEE 118-BUS SYSTEM; MASS INTERACTION; MIXED INTEGER; MULTI OBJECTIVE; MULTI-OBJECTIVE OPTIMAL POWER FLOW; MULTI-OBJECTIVE PROBLEM; NEWTON'S LAWS; OPTIMISATIONS; PARTICLE SWARM OPTIMISATION; VOLTAGE DEVIATIONS;

ACOUSTIC GENERATORS; COMPUTER PROGRAMMING; COSTS; ELECTRIC LOAD FLOW; FUELS; HEURISTIC METHODS; LEARNING ALGORITHMS;

GRAVITATION;

EID: 84864758524     PISSN: 17518687     EISSN: None     Source Type: Journal    
DOI: 10.1049/iet-gtd.2011.0593     Document Type: Article

References (34)

1. Carpentier, J.: 'Contribution a l'Etude du Dispatching Economique', Bull. Soc. Franc. Electr., 1962, 3 431-474
2. Dommel, H., and Tinney, W.: 'Optimal power flow solution', IEEE Trans. Power Appar. Syst., 1968, PAS-87, (10) 1866-187610.1109/TPAS.1968.292150 0018-9510
3. Abou El-Ela, A.A., and Abido, M.A.: 'Optimal operation strategy for reactive power control modeling', Berger-Vachon, C., Gil Iafuente, A.M., 1992), Modelling Simulation and Control, A, AMSE Press, 41, 3 p. 19-40
4. Mota-Palomino, R., and Quintana, V.H.: 'Sparse reactive power scheduling by a penalty-function linear programming technique', IEEE Trans. Power Syst., 1986, 1, (3) 31-3910.1109/TPWRS.1986.4334951 0885-8950
5. Burchett, R.C., Happ, H.H., and Vierath, D.R.: 'Quadratically convergent optimal power flow', IEEE Trans. Power Appar. Syst, 1984, PAS-103, (11) 3267-327610.1109/TPAS.1984.318568 0018-9510
6. Sun, D.I., Ashley, B., Brewer, B., Hughes, A., and Tinney, W.F.: 'Optimal power flow by Newton approach', IEEE Trans. Power Appar. Syst., 1984, PAS-103, (10) 2864-287510.1109/TPAS.1984.318284 0018-9510
7. Santos Jr., A., and da Costa, G.R.M.: 'Optimal power flow solution by Newton's method applied to an augmented Lagrangian function', IEE Proc. Gener. Transm. Distrib., 1995, 142, (1) 33-3610.1049/ip-gtd:19951586 1350-2360
8. Yan, X., and Quintana, V.H.: 'Improving an interior point based OPF by dynamic adjustments of step sizes and tolerances', IEEE Trans. Power Syst., 1999, 14, (2) 709-71710.1109/59.761902 0885-8950
9. Yan, W., Yu, J., Yu, D.C., and Bhattarai, K.: 'A new optimal reactive power flow model in rectangular form and its solution by predictor corrector primal dual interior point method', IEEE Trans. Power Syst., 2006, 21, (1) 61-6710.1109/TPWRS.2005.861978 0885-8950
10. Wang, H., Murillo-Sánchez, C.E., Zimmerman, R.D., and Thomas, R.J.: 'On computational issues of market-based optimal power flow', IEEE Trans. Power Syst., 2007, 22, (3) 1185-119310.1109/TPWRS.2007.901301 0885-8950
11. Lai, L.L., and Ma, J.T.: 'Improved genetic algorithms for optimal power flow under both normal and contingent operation states', Int. J. Electr. Power Energy Syst., 1997, 19, (5) 287-29210.1016/S0142-0615(96)00051-8 0142-0615
12. Wu, Q.H., Cao, Y.J., and Wen, J.Y.: 'Optimal reactive power dispatch using an adaptive genetic algorithm', Int. J. Electr. Power Energy Syst., 1998, 20, (8) 563-56910.1016/S0142-0615(98)00016-7 0142-0615
13. Wu, Q.H., and Ma, J.T.: 'Power system optimal reactive dispatch using evolutionary programming', IEEE Trans. Power Syst., 1995, 10, (3) 1243-124910.1109/59.466531 0885-8950
14. Yuryevich, J., and Wong, K.P.: 'Evolutionary programming based optimal power flow algorithm', IEEE Trans. Power Syst., 1999, 14, (4) 1245-125010.1109/59.801880 0885-8950
15. Abido, M.A.: 'Optimal power flow using particle swarm optimization', Proc. Int. J. Electr. Power Energy Syst., 2002, 24, (7) 563-57110.1016/S0142-0615(01)00067-9
16. Chung, T.S., and Li, Y.Z.: 'A hybrid GA approach for OPF with consideration of FACTS devices', IEEE Power Eng. Rev., 2001, 21, (2) 47-5010.1109/39.896822 0272-1724
17. Bakirtzis, A.G., BiskasN., Zoumas, C.E., and Petridis, V.: 'Optimal power flow by enhanced genetic algorithm', IEEE Trans. Power Syst., 2002, 17, (2) 229-23610.1109/TPWRS.2002.1007886 0885-8950
18. Ongsakul, W., and Tantimaporn, T.: 'Optimal powers flow by improved evolutionary programming', Electr. Power Comput. Syst., 2006, 34, (1) 79-9510.1080/15325000691001458
19. Onate YumblaE., Ramirez, J.M., and Coello Coello, C.A.: 'Optimal power flow subject to security constraints solved with a particle swarm optimizer', IEEE Trans. Power Syst., 2008, 23, (1) 33-4010.1109/TPWRS.2007.913196 0885-8950
20. Cai, H.R., Chung, C.Y., and Wong, K.P.: 'Application of differential evolution algorithm for transient stability constrained optimal power flow', IEEE Trans. Power Syst., 2008, 23, (2) 719-72810.1109/TPWRS.2008.919241 0885-8950
21. Abou El Ela, A.A., and Abido, M.A.: 'Optimal power flow using differential evolution algorithm', Electr. Power Syst. Res., 2010, 80, (7) 878-88510.1016/j.epsr.2009.12.018 0378-7796
22. Sayah, S., and Zehar, K.: 'Modified differential evolution algorithm for optimal power flow with non-smooth cost functions', Int. J. Energy Convers. Manage., 2008, 49, (11) 3036-304210.1016/j.enconman.2008.06.014
23. Abido, M.A., and Al-Ali, N.A.: 'Multi-objective differential evolution for optimal power flow', Int. Conf. on Power Engineering, Energy and Electrical Drives, POWERENG 2009, Lisbon, Portugal, March 18-20 2009 101-106
24. Simon, D.: 'Biogeography-based optimization', IEEE Trans. Evol. Comput., 2008, 12, (6) 702-71310.1109/TEVC.2008.919004 1089-778X
25. Bhattacharya, A., and ChattopadhyayK.: 'Application of biogeography-based optimization to solve different optimal power flow problems', IET Gener. Transm. Distrib., 2011, 5, (1) 70-8010.1049/iet-gtd.2010.0237
26. RoyK., Ghoshal, S.P., and Thakur, S.S.: 'Multi-objective optimal power flow using biogeography-based optimization', Electr. Power Compon. Syst., 2010, 38, (12) 1406-142410.1080/15325001003735176 1532-5008
27. Rashedi, E., Nezamabadi-pour, H., and Saryazdi, S.: 'GSA: a gravitational search algorithm', Inf. Sci., 2009, 179, (13) 2232-224810.1016/j.ins.2009.03.004
28. Gaing, Z.L.: 'Constrained optimal power flow by mixed-integer particle swarm optimization', IEEE Power Engineering Society General Meeting, June 2005, 1 243-250
29. Holliday, D., Resnick, R., and Walker, J.: 'Fundamentals of physics', (John Wiley and Sons 1993)
30. Schutz, B.: 'Gravity from the ground up', (Cambridge University Press 2003)
31. Mansouri, R., Nasseri, F., and Khorrami, M.: 'Effective time variation of G in a model universe with variable space dimension', Phys. Lett., 1999, 259 194-20010.1016/S0375-9601(99)00449-1
32. Kenyon, I.R.: 'General relativity', (Oxford University Press 1990)
33. Tinney, W.F., and Hart, C.E.: 'Power flow solution by Newton's method', IEEE Trans. Power Appar. Syst., 1967, PAS-86, (11) 1449-146010.1109/TPAS.1967.291823 0018-9510
34. The IEEE 118-Bus Test System. Available at: http://www.ee.washington.edu/research/pstca/pf118/pg_tca118bus.htm