Unit commitment problem with ramp rate constraint using a binary-real-coded genetic algorithm

Applied Soft Computing Journal

Volumn 13, Issue 9, 2013, Pages 3873-3883

  Datta, Dilip ^a  

^a TEZPUR UNIVERSITY   (India)

Author keywords

Genetic algorithm; Ramp rate constraint; Unit commitment problem

Indexed keywords

INTEGER PROGRAMMING; OPTIMIZATION;

ALTERNATIVE ALGORITHMS; COMPUTATIONAL EXPERIMENT; DETERMINISTIC METHODS; MIXED INTEGER OPTIMIZATION; RAMP RATE CONSTRAINTS; REAL CODED GENETIC ALGORITHM; UNIT COMMITMENT PROBLEM; UNIT COMMITMENT PROBLEM (UCP);

GENETIC ALGORITHMS;

EID: 84884411088     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2013.05.002     Document Type: Article

References (43)

1. K. Abookazemi, H. Ahmad, A. Tavakolpour, M.Y. Hassan, Unit commitment solution using an optimized genetic system, Electrical Power and Energy Systems 33 (4) (2011) 969-975.
2. K. Abookazemi, M.W. Mustafa, H. Ahmad, Structured genetic algorithm technique for unit commitment problem, International Journal of Recent Trends in Engineering 1 (3) (2009) 135-139.
3. J.M. Arroyo, A.J. Conejo, A parallel repair genetic algorithm to solve the unit commitment problem, IEEE Transactions on Power Systems 17 (4) (2002) 1216-1224.
4. H.H. Balci, J.F. Valenzuela, Scheduling electric power generations using particle swarm optimization combined with the Lagrangian relaxation method, International Journal of Applied Mathematics and Computer Science 14 (3) (2004) 411-421.
5. C.-S. Chang, An improved differential evolution scheme for the solution of large-scale unit commitment problems, Informatica 21 (2) (2010) 175-190.
6. C.-P. Cheng, C.-W. Liu, C.-C. Liu, Unit commitment by Lagrangian relaxation and genetic algorithms, IEEE Transactions on Power Systems 15 (2) (2000) 707-714.
7. A.I. Cohen, M. Yoshimura, A branch-and-bound algorithm for unit commitment, IEEE Transactions on Power Apparatus and Systems PAS-102 (2) (1983) 444-451.
8. I.G. Damousis, A.G. Bakirtzis, P.S. Dokopoulos, A solution to the unit commitment problem using integer-coded genetic algorithm, IEEE Transactions on Power Systems 19 (2) (2004) 1165-1172.
9. D. Datta, S. Dutta, A binary-real-coded differential evolution for unit commitment problem, International Journal of Electrical Power and Energy Systems 42 (1) (2012) 517-524.
10. D. Datta, J.R. Figueira, A real-integer-discrete-coded particle swarm optimization for design problems, Applied Soft Computing 11 (4) (2011) 3625-3633.
11. K. Deb, An efficient constraint handling method for genetic algorithms, Computer Methods in Applied Mechanics and Engineering 186 (2000) 311-338.
12. K. Deb, Multi-Objective Optimization using Evolutionary Algorithms, John Wiley & Sons Ltd, Chichester, England, 2001.
13. K. Deb, S. Agarwal, A. Pratap, T. Meyarivan, A fast and elitist multi-objective genetic algorithm: NSGA-II, IEEE Transactions on Evolutionary Computation 6 (2) (2002) 182-197. (Pubitemid 34555372)
14. V.N. Dieu, W. Ongsakul, Enhanced augmented Lagrangian hopfield network for unit commitment, in: IEE Proc. on Generation, Transmission and Distribution. Vol. 153, 2006, pp. 624-632. (Pubitemid 44601622)
15. J. Ebrahimi, S.H. Hosseinian, G.B. Gharehpetian, Unit commitment problem solution using shuffled frog leaping algorithm, IEEE Transactions on Power Systems 26 (2) (2011) 573-581.
16. A. Frangioni, C. Gentile, F. Lacalandra, Sequential Lagrangian-MILP approaches for unit commitment problems, Electrical Power and Energy Systems 33 (2011) 585-593.
17. Y.-W. Jeong, W.-N. Lee, H.-H. Kim, J.-B. Park, J.-R. Shin, Thermal unit commitment using binary differential evolution, Journal of Electrical Engineering & Technology 4 (3) (2009) 323-329.
18. K.A. Juste, H. Kita, E. Tanaka, J. Hasegawa, An evolutionary programming solution to the unit commitment problem, IEEE Transactions on Power Systems 14 (4) (1999) 1452-1459. (Pubitemid 32082808)
19. S.A. Kazarlis, A.G. Bakirtzis, V. Petridis, A genetic algorithm solution to the unit commitment problem, IEEE Transactions on Power Systems 11 (1) (1996) 83-92. (Pubitemid 126781131)
20. T.-Y. Lee, C.-L. Chen, Unit commitment with probabilistic reserve: an IPSO approach, Energy Conversion and Management 48 (2) (2007) 486-493. (Pubitemid 46027315)
21. J.A. López, J.L. Ceciliano-Meza, I.G. Moya, R.N. Gómez, A MIQCP formulation to solve the unit commitment problem for large-scale power systems, Electrical Power and Energy Systems 36 (2012) 68-75.
22. A.H. Mantawy, Y.L. Abdel-Magid, S.Z. Selim, Unit commitment by tabu search, in: IEE Proc. on Generation, Transmission and Distribution. Vol. 145, 1998, pp. 56-64.
23. W. Ongsakul, N. Petcharaks, Unit commitment by enhanced adaptive Lagrangian relaxation, IEEE Transactions on Power Systems 19 (1) (2004) 620-628.
24. B. Pavez-Lazo, J. Soto-Cartes, A deterministic annular crossover genetic algorithm optimisation for the unit commitment problem, Expert Systems with Applications 38 (6) (2011) 6523-6529.
25. C.C.A. Rajan, Genetic algorithm based simulated annealing method for solving unit commitment problem in utility system, in: IEEE Transmission and Distribution Conference and Exposition, New Orleans, LA, USA, 2010, pp. 1-6.
26. L.A.C. Roque, D.B.M.M. Fontes, F.A.C.C. Fontes, A biased random key genetic algorithm approach for unit commitment problem, in: SEA-2011. Vol. 6630 of Lecture Notes in Computer Science (LNCS), Springer-Verlag, 2011, pp. 327-339.
27. A. Rudolf, R. Bayrleithner, A genetic algorithm for solving the unit commitment problem of a hydro-thermal power system, IEEE Transactions on Power Systems 14 (4) (1999) 1460-1468. (Pubitemid 32082809)
28. T. Senjyu, H. Yamashiro, K. Uezato, T. Funabashi, A unit commitment problem by using genetic algorithm based on unit characteristic classification, in: IEEE Conf. on Power Engineering Society Winter Meeting. Vol. 1, 2002, pp. 58-63.
29. T. Senjyua, T. Miyagia, A.Y. Sabera, N. Urasakia, T. Funabashib, Emerging solution of large-scale unit commitment problem by stochastic priority list, Electric Power Systems Research 76 (5) (2006) 283-292.
30. C.-C. Su, Y.-Y. Hsu, Fuzzy dynamic programming: an application to unit commitment, IEEE Transactions on Power Systems 6 (3) (1991) 1231-1237.
31. M. Sudhakaran, P.A.-D.-V. Raj, Integrating genetic algorithms and tabu search for unit commitment problem, International Journal of Engineering, Science and Technolgy 2 (1) (2010) 57-69.
32. S. Takriti, J. Birge, Using integer programming to refine Lagrangian-based unit commitment solutions, IEEE Transactions on Power Systems 15 (1) (2000) 151-156.
33. T.-O. Ting, M.V.C. Rao, C.K. Loo, S.S. Ngu, Solving unit commitment problem using hybrid particle swarm optimization, Journal of Heuristics 9 (6) (2003) 507-520.
34. M.-T. Tsai, H.-J. Gow, W.-M. Lin, Hybrid taguchi-immune algorithm for the thermal unit commitment, Electrical Power and Energy Systems 33 (4) (2011) 1062-1069.
35. A.S. Uyar, B. Türkay, A. Keleş, A novel differential evolution application to shortterm electrical power generation scheduling, Electrical Power and Energy Systems 33 (6) (2011) 1236-1242.
36. K. Vaisakh, L.R. Srinivas, Evolving ant colony optimization based unit commitment, Applied Soft Computing 11 (2) (2011) 2863-2870.
37. J. Valenzuela, A.E. Smith, A seeded memetic algorithm for large unit commitment problems, Journal of Heuristics 8 (2) (2002) 173-195. (Pubitemid 34249457)
38. L. Wang, C. Singh, Unit commitment considering generator outages through a mixed-integer particle swarm optimization algorithm, Applied Soft Computing 9 (2009) 947-953.
39. A.J. Wood, B. Wollenberg, Power Generation Operation and Control, New York, John Wiley, 1984.
40. W. Xing, F.F. Wu, Genetic algorithm based unit commitment with energy contracts, Electrical Power and Energy Systems 24 (5) (2002) 329-336. (Pubitemid 34247891)
41. X. Yuan, A. Su, H. Nie, Y. Yuan, L. Wang, Application of enhanced discrete differential evolution approach to unit commitment problem, Energy Conversion & Management 50 (2009) 2449-2456.
42. X. Yuan, A. Su, H. Nie, Y. Yuan, L. Wang, Unit commitment problem using enhanced particle swarm optimization algorithm, Soft Computing 15 (1) (2011) 139-148.
43. F. Zhuang, F.D. Galiana, Unit commitment by simulated annealing, IEEE Transactions on Power Systems 5 (1) (1990) 311-318. (Pubitemid 20666096)