Dynamic economic dispatch: a comparative study for differential evolution, particle swarm optimization, evolutionary programming, genetic algorithm, and simulated annealing

Bechert TE, Kwatny HG (1972) On the optimal dynamic dispatch of real power. IEEE Trans Power Appar Syst PAS-91:889–898

Ross DW, Kim S (1980) Dynamic economic dispatch of generation. IEEE Trans Power Appar Syst PAS-99(6):2060–2068

Wood WG (1982) Spinning reserve constrained static and dynamic economic dispatch. IEEE Trans Power Appar Syst PAS:381

Van Den Bosch PPJ (1985) Optimal dynamic dispatch owing to spinning-reserve and power-rate limits. IEEE Trans Power Appar Syst PAS-104(12):3395–3401

Granelli GP, Marannino P, Montagna M, Silvestri A (1989) Fast and efficient gradient projection algorithm for dynamic generation dispatching. IEE Proc Gen Transmiss Distrib 136(5):295–302

Hindi KS, AbGhani MR (1991) Dynamic economic dispatch for large scale power systems; a Lagrangian relaxation approach. Elect Power Syst Res 13(1):51–56

Lee FN, Lemonidis L, Liu K-C (1994) Price-based ramp-rate model for dynamic dispatch and unit commitment. IEEE Trans Power Syst 9(3):1233–1242

Travers DL, Kaye RJ (1998) Dynamic dispatch by constructive dynamic programming. IEEE Trans Power Syst 13:1

Han XS, Gooi HB, Kirschen DS (2001) Dynamic economic dispatch: feasible and optimal solutions. IEEE Trans Power Syst 16(1):22–28

Attavriyanupp P, Kita H, Tanaka T, Hasegawa J (2002) A hybrid EP and SQP for dynamic economic dispatch with nonsmooth fuel cost function. IEEE Trans Power Syst 17(2):411–416

Victoire TAA, Jeyakumar AE (2005) Reserve constrained dynamic dispatch of units with valve-point effects. IEEE Trans Power Syst 20(3):1273–1282

Abdelaziz AY, Kamh MZ, Mekhamer SF, Badr MAL (2008) A hybrid HNN-QP approach for dynamic economic dispatch problem. Electric Power Syst Res 78:1784–1788

Yuan Xiaohui, Wang Liang, Zhang Yongchuan, Yuan Yanbin (2009) A hybrid differential evolution method for dynamic economic dispatch with valve-point effects. Expert Syst Appl 36:4042–4048

Storn R, Price KV (1997) Differential evolution—a simple and efficient heuristic for global optimization over continuous spaces. J Global Optim 11(4):341–359

Lampinen J (2002) A constraint handling approach for the differential evolution algorithm. Proc Congr Evol Comput 2:1468–1473

Price KV, Storn R, Lampinen J (2005) Differential evolution: a practical approach to global optimization. Springer, Berlin

Kennedy J, Eberhart R (1995) Particle swarm optimization. Proc IEEE Int Conf Neural Netw 4:1942–1948

Shi Y, Eberhart R (1998) A modified particle swarm optimizer. Proc IEEE Int Conf Evol Comput 69:73

Gaing Zwe-Lee (2003) Particle swarm optimization to solving the economic dispatch considering the generator constraints. IEEE Trans PWRS 18(3):1187–1195

Yang HT, Yang PC, Huang CL (1996) Evolutionary Programming based economic dispatch for units with non-smooth fuel cost functions. IEEE Trans PWRS 11(1):112–118

Goldberg D (1989) Genetic algorithms in search, optimization & machine learning, reading. Addison-Wesley Publishing Company Inc, Boston

Deb K, Agrawal RB (1995) Simulated binary crossover for continuous search space. Complex Syst 9(2):115–148

Herrera F, Lozano M, Verdegay JL (1998) Tackling real-coded genetic algorithms: operators and tools for behavioral analysis. Artif Intell Rev 12(4):265–319

Walter DC, Sheble GB (1993) Genetic algorithm solution of economic dispatch with valve point loading. IEEE Trans Power Syst 8:1325–1332

Kirkpatrick S, Gelatt C, Vecchi M (1983) Optimization by simulated annealing. Science 22:671–680

Aarts E, Korst JM (1989) Simulated annealing and Boltzmann machines: a stochastic approach to combinatorial optimization and neural computing. John Wiley, New York

Laarhoven PJMV, Arts EHL (1987) Simulated annealing: theory and applications. D. Reidel, Dordrecht

Wong KP, Fung CC (1993) Simulated annealing based economic dispatch algorithm. IEE Proc Gen Transmiss Distrib 140(6):509–515