메뉴 건너뛰기




Volumn 27, Issue 2, 2012, Pages 780-789

Two-level hierarchical approach to unit commitment using expert system and elite PSO

Author keywords

Elite particle swarm optimization (EPSO); expert system (ES); unit commitment (UC)

Indexed keywords

ELITE PARTICLE SWARM OPTIMIZATION (EPSO); EVOLUTION PROCESS; EXECUTION TIME; FUEL COST; HIERARCHICAL APPROACH; LOCAL OPTIMA; OPTIMAL SOLUTIONS; PROBLEM SIZE; SOLUTION METHODS; SOLUTION SPACE; TEST SYSTEMS; UC APPLICATION; UNIT COMMITMENT PROBLEM; UNIT COMMITMENTS;

EID: 84860262199     PISSN: 08858950     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRS.2011.2171197     Document Type: Article
Times cited : (57)

References (27)
  • 2
    • 2542598480 scopus 로고    scopus 로고
    • Unit commitment-A bibliographical survey
    • May
    • N. P. Padhy, " Unit commitment-a bibliographical survey," IEEE Trans. Power Syst. , vol. 19, no. 2, pp. 1196-1205, May 2004.
    • (2004) IEEE Trans. Power Syst. , vol.19 , Issue.2 , pp. 1196-1205
    • Padhy, N.P.1
  • 3
    • 0028371902 scopus 로고
    • Unit commitment literature synopsis
    • Feb.
    • G. B. Shele and G. N. Fahd, " Unit commitment literature synopsis," IEEE Trans. Power Syst. , vol. 9, no. 1, pp. 128-135, Feb. 1994.
    • (1994) IEEE Trans. Power Syst. , vol.9 , Issue.1 , pp. 128-135
    • Shele, G.B.1    Fahd, G.N.2
  • 4
    • 0038519486 scopus 로고    scopus 로고
    • A fast technique for unit commitment problem by extended priority list
    • May
    • T. Senjyu, K. Shimabukuro, K. Uezato, and T. Funabashi, " A fast technique for unit commitment problem by extended priority list," IEEE Trans. Power Syst. , vol. 18, no. 2, pp. 882-888, May 2003.
    • (2003) IEEE Trans. Power Syst. , vol.18 , Issue.2 , pp. 882-888
    • Senjyu, T.1    Shimabukuro, K.2    Uezato, K.3    Funabashi, T.4
  • 6
    • 0033222003 scopus 로고    scopus 로고
    • Evolutionary programming solution to the unit commitment problem
    • DOI 10.1109/59.801925
    • K. A. Juste, H. Kita, E. Tanaka, and J. Hasegawa, " An evolutionary programming solution to the unit commitment problem," IEEE Trans. Power Syst. , vol. 14, no. 4, pp. 1452-1459, Nov. 1999. (Pubitemid 32082808)
    • (1999) IEEE Transactions on Power Systems , vol.14 , Issue.4 , pp. 1452-1459
    • Juste, K.A.1    Kita, H.2    Tanaka, E.3    Hasegawa, J.4
  • 7
    • 68349131730 scopus 로고    scopus 로고
    • Quantum-inspired evolutionary algorithm approach for unit commitment
    • Aug.
    • T. W. Lau, C. Y. Chung, K. P. Wong, T. S. Chung, and S. L. Ho, " Quantum-inspired evolutionary algorithm approach for unit commitment," IEEE Trans. Power Syst. , vol. 24, no. 3, pp. 1503-1512, Aug. 2009.
    • (2009) IEEE Trans. Power Syst. , vol.24 , Issue.3 , pp. 1503-1512
    • Lau, T.W.1    Chung, C.Y.2    Wong, K.P.3    Chung, T.S.4    Ho, S.L.5
  • 8
    • 32144445924 scopus 로고    scopus 로고
    • Unit commitment by an enhanced simulated annealing algorithm
    • DOI 10.1109/TPWRS.2005.860922
    • D. N. Simopoulos, S. D. Kavatza, and C. D. Vournas, " Unit commitment by an enhanced simulated annealing algorithm," IEEE Trans. Power Syst. , vol. 21, no. 1, pp. 68-76, Feb. 2006. (Pubitemid 43204704)
    • (2006) IEEE Transactions on Power Systems , vol.21 , Issue.1 , pp. 68-76
    • Simopoulos, D.N.1    Kavatza, S.D.2    Vournas, C.D.3
  • 9
    • 33745920484 scopus 로고    scopus 로고
    • Application of evolutionary neural network to power system unit commitment
    • May
    • P. H. Chen and H. C. Chen, " Application of evolutionary neural network to power system unit commitment " Lecture Notes Comput. Sci. , vol. 3972, pp. 1296-1303, May 2006.
    • (2006) Lecture Notes Comput. Sci. , vol.3972 , pp. 1296-1303
    • Chen, P.H.1    Chen, H.C.2
  • 10
    • 0030082567 scopus 로고    scopus 로고
    • A genetic algorithm solution to the unit commitment problem
    • S. A. Kazarlis, A. G. Bakirtzis, and V. Petridis, " A genetic algorithm solution to the unit commitment problem," IEEE Trans. Power Syst. , vol. 11, no. 1, pp. 83-92, Feb. 1996. (Pubitemid 126781131)
    • (1996) IEEE Transactions on Power Systems , vol.11 , Issue.1 , pp. 83-92
    • Kazarlis, S.A.1    Bakirtzis, A.G.2    Petridis, V.3
  • 11
    • 33745923235 scopus 로고    scopus 로고
    • A genetic algorithm for solving the unit commitment problem
    • Singapore May
    • H. C. Chang and P. H. Chen, " A genetic algorithm for solving the unit commitment problem," in Proc. Int. Power Engineering Conf. , Singapore, May 1997, pp. 831-836.
    • (1997) Proc. Int. Power Engineering Conf. , pp. 831-836
    • Chang, H.C.1    Chen, P.H.2
  • 14
    • 0031352450 scopus 로고    scopus 로고
    • A discrete binary version of the particle swarm algorithm
    • Piscataway, NJ
    • J. Kennedy and R. Eberhart, " A discrete binary version of the particle swarm algorithm," in Proc. Int. Conf. Systems, Man, and Cybernetic s, Piscataway, NJ, 1997, pp. 4104-4109.
    • (1997) Proc. Int. Conf. Systems, Man, and Cybernetic S , pp. 4104-4109
    • Kennedy, J.1    Eberhart, R.2
  • 15
    • 40849134352 scopus 로고    scopus 로고
    • Pumped-storage scheduling using evolutionary particle swarm optimization
    • Mar.
    • P. H. Chen, " Pumped-storage scheduling using evolutionary particle swarm optimization," IEEE Trans. Energy Convers. , vol. 23, no. 1, pp. 294-301, Mar. 2008.
    • (2008) IEEE Trans. Energy Convers. , vol.23 , Issue.1 , pp. 294-301
    • Chen, P.H.1
  • 16
    • 1542269783 scopus 로고    scopus 로고
    • Discrete particle swarm optimization algorithm for unit commitment
    • Toronto, ON, Canada Jul.
    • Z. L. Gaing, " Discrete particle swarm optimization algorithm for unit commitment," in Proc. IEEE Power Eng. Soc. General Meeting , Toronto, ON, Canada, Jul. 2003, vol. 1, pp. 418-424.
    • (2003) Proc. IEEE Power Eng. Soc. General Meeting , vol.1 , pp. 418-424
    • Gaing, Z.L.1
  • 17
    • 32144453660 scopus 로고    scopus 로고
    • A novel approach for unit commitment problem via an effective hybrid particle swarm optimization
    • Feb.
    • T. O. Ting, M. V. C. Rao, and C. K. Loo, " A novel approach for unit commitment problem via an effective hybrid particle swarm optimization " IEEE Trans. Power Syst., vol. 21, no. 1, pp. 411-418, Feb. 2006.
    • (2006) IEEE Trans. Power Syst. , vol.21 , Issue.1 , pp. 411-418
    • Ting, M.T.O.1    Rao, C.K.2    Loo, V.C.3
  • 18
    • 77954834843 scopus 로고    scopus 로고
    • A variable-dimension optimization approach to unit commitment problem
    • Aug.
    • V. S. Pappala and I. Erlich, " A variable-dimension optimization approach to unit commitment problem," IEEE Trans. Power Syst. , vol. 25, no. 3, pp. 1696-1704, Aug. 2010.
    • (2010) IEEE Trans. Power Syst. , vol.25 , Issue.3 , pp. 1696-1704
    • Pappala, V.S.1    Erlich, I.2
  • 20
    • 0029409018 scopus 로고
    • Large-scale economic dispatch by genetic algorithm
    • Nov.
    • P. H. Chen and H. C. Chang, " Large-scale economic dispatch by genetic algorithm," IEEE Trans. Power Syst. , vol. 10, no. 4, pp. 1919-1926, Nov. 1995.
    • (1995) IEEE Trans. Power Syst. , vol.10 , Issue.4 , pp. 1919-1926
    • Chen, P.H.1    Chang, H.C.2
  • 21
    • 33746484868 scopus 로고    scopus 로고
    • Scheduling electric power generators using particle swarm optimization combined with the Lagrangian relaxation method
    • H. H. Balci and J. F. Valenzuela, " Scheduling electric power generators using particle swarm optimization combined with the Lagrangian relaxation method " Int. J. Appl. Math. Comput. Sci., vol. 14, no. 3, pp. 411-421, 2004.
    • (2004) Int. J. Appl. Math. Comput. Sci. , vol.14 , Issue.3 , pp. 411-421
    • Balci, H.H.1    Valenzuela, J.F.2
  • 23
    • 70449561097 scopus 로고    scopus 로고
    • A thermal unit commitment approach using an improved quantum evolutionary algorithm
    • Jul.
    • Y. W. Jeong, J. B. Park, J. R. Shin, and K. Y. Lee, " A thermal unit commitment approach using an improved quantum evolutionary algorithm " Elect. Power Compon. Syst. , vol. 37, no. 7, pp. 770-786, Jul. 2009.
    • (2009) Elect. Power Compon. Syst. , vol.37 , Issue.7 , pp. 770-786
    • Jeong, Y.W.1    Park, J.B.2    Shin, J.R.3    Lee, K.Y.4
  • 24
    • 1442264390 scopus 로고    scopus 로고
    • Unit commitment by enhanced adaptive Lagrangian relaxation
    • Feb.
    • W. Ongsakul and N. Petcharaks, " Unit commitment by enhanced adaptive Lagrangian relaxation," IEEE Trans. Power Syst. , vol. 19, no. 1, pp. 620-628, Feb. 2004.
    • (2004) IEEE Trans. Power Syst. , vol.19 , Issue.1 , pp. 620-628
    • Ongsakul, W.1    Petcharaks, N.2
  • 25
    • 77954834847 scopus 로고    scopus 로고
    • A new quantum-inspired binary PSO: Application to unit commitment problems for-power systems
    • Aug.
    • Y. W. Jeong, J. B. Park, S. H. Jang, and K. Y. Lee, " A new quantum-inspired binary PSO: Application to unit commitment problems for-power systems " IEEE Trans. Power Syst. , vol. 25, no. 3, pp. 1486-1495, Aug. 2010.
    • (2010) IEEE Trans. Power Syst. , vol.25 , Issue.3 , pp. 1486-1495
    • Jeong, Y.W.1    Park, J.B.2    Jang, S.H.3    Lee, K.Y.4
  • 26
    • 33747623533 scopus 로고    scopus 로고
    • A computationally efficient mixed-integer linear formulation for the thermal unit commitment problem
    • DOI 10.1109/TPWRS.2006.876672
    • M. Carrion and J. M. Arroyo, " A computationally efficient mixed-integer linear formulation for the thermal unit commitment problem " IEEE Trans. Power Syst. , vol. 21, no. 3, pp. 1371-1378, Aug. 2006. (Pubitemid 44263531)
    • (2006) IEEE Transactions on Power Systems , vol.21 , Issue.3 , pp. 1371-1378
    • Carrion, M.1    Arroyo, J.M.2
  • 27
    • 13244253998 scopus 로고    scopus 로고
    • A practical mixed integer linear programming based approach for unit commitment
    • 2004 IEEE Power Engineering Society General Meeting
    • G. W. Chang, Y. D. Tsai, C. Y. Lai, and J. S. Chung, " A practical mixed integer linear programming based approach for unit commitment " in Proc. IEEE Power Eng. Soc. General Meeting , Denver, CO, Jun. 2004, pp. 221-225. (Pubitemid 40191998)
    • (2004) 2004 IEEE Power Engineering Society General Meeting , vol.1 , pp. 221-225
    • Chang, G.W.1    Tsai, Y.D.2    Lai, C.Y.3    Chung, J.S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.