Hybrid PSO-SQP for economic dispatch with valve-point effect

Electric Power Systems Research

Volumn 71, Issue 1, 2004, Pages 51-59

  Victoire, T Aruldoss Albert ^a   Jeyakumar, A Ebenezer ^b  

^a KARUNYA UNIVERSITY   (India)

^b ANNA UNIVERSITY   (India)

Author keywords

Economic dispatch; Particle swarm optimization; Sequential quadratic programming

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; DYNAMIC PROGRAMMING; ELECTRIC LINES; ELECTRIC POWER SYSTEMS; HEURISTIC METHODS; MATHEMATICAL MODELS; OPTIMIZATION; PROBLEM SOLVING; QUADRATIC PROGRAMMING;

ECONOMIC DISPATCH; FUEL COST CURVES; PARTICLE SWARM OPTIMIZATION (PSO); SEQUENTIAL QUADRATIC PROGRAMMING;

LARGE SCALE SYSTEMS;

EID: 2042536680     PISSN: 03787796     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.epsr.2003.12.017     Document Type: Article

References (18)

1. Sinha N., Chakrabarti R., Chattopadhyay P.K. Evolutionary programming techniques for economic load dispatch. IEEE Trans. Evol. Comput. 7(1):2003;83-94.
2. D. Srinivasan, F. Wen, C.S. Chang, A.C. Liew, A survey of evolutionary computing in power systems, IEEE Proc. (1996) 35-41.
3. Walters D.C., Sheble G.B. Genetic algorithm solution of economic dispatch with valve-point loadings. IEEE Trans. Power Syst. 8(3):1993;1325-1331.
4. Yang H.T., Yang P.C., Huang C.L. Evolutionary programming based economic dispatch for units with non-smooth incremental fuel cost functions. IEEE Trans. Power Syst. 11(1):1996;112-118.
5. Wong K.P., Wong Y.W. Genetic and genetic/simulated-annealing approaches to economic dispatch. IEEE Proc. Gener. Trans. Distrib. 141(5):1994;507-513.
6. Bhagwan Das D., Patvardhan C. Solution of Economic Load Dispatch using real coded Hybrid Stochastic Search. Int. J. Electr. Power Energy Syst. 21:1999;165-170.
7. Attaviriyanupap P., Kita H., Tanaka E., Hasegawa J. A hybrid EP and SQP for dynamic economic dispatch with nonsmooth incremental fuel cost function. IEEE Trans. Power Syst. 17(2):2002;411416.
8. Lin W.M., Cheng F.S., Tsay M.T. Nonconvex economic dispatch by integrated artificial intelligence. IEEE Trans. Power Syst. 16(2):2001;307-311.
9. Lee S.C., Kim Y.H. An enhanced Lagrangian neural network for the ELD problems with piecewise quadratic cost functions and nonlinear constraints. Electr. Power Syst. Res. 60:2002;167-177.
10. J. Kennedy, R. Eberhart, Swarm Intelligence, Morgan Kaufmann Publishers, 2001.
11. Yoshida H., Kawata K., Fukuyama Y., Takayama S., Nakanishi Y. A particle swarm optimization for reactive power and voltage control considering voltage security assessment. IEEE Trans. Power Syst. 15(4):2000;1232-1239.
12. Abido M.A. Optimal design of power system stabilizers using particle swarm optimization. IEEE Trans. Energy Convers. 17(3):2002;406-413.
13. Abido M.A. Optimal power flow using particle swarm optimization. Int. J. Electr. Power Energy Syst. 24(7):2002;563-571.
14. P.T. Boggs, J.W. Tolle, Sequential Quadratic Programming, Acta Numerica, Cambridge University Press, Cambridge, 4 (1995) 1-52.
15. R. Eberhart, Y. Shi, comparing inertia weights and constriction factors in particle swarm optimization, in: Proceedings of the Congress on Evolutionary Computation (CEC2000), 2000, pp. 84-88.
16. A.J. Wood, B.F. Wollenberg, Power Generation, Operation and Control, Wiley, New York, 1984.
17. Happ H.H. Optimal power dispatch - a comprehensive survey. IEEE Trans. PAS. 96:1977;841-854.
18. Chowdhury B.H., Rahman S. A review of recent advances in economic dispatch. IEEE Trans. Power Syst. 5(4):1990;1248-1259.