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Volumn 13, Issue 5, 2013, Pages 2997-3006

A review of particle swarm optimization and its applications in Solar Photovoltaic system

Author keywords

Linearly decreasing inertia weight; Particle swarm optimization; PSO parameters control; Solar Photovoltaics; Time varying acceleration coefficients

Indexed keywords

BEHAVIORAL RESEARCH; OPTIMIZATION; PHOTOVOLTAIC CELLS; SOLAR CONCENTRATORS; SOLAR POWER GENERATION;

EID: 84885623974     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2012.11.033     Document Type: Review
Times cited : (326)

References (79)
  • 9
    • 84901421400 scopus 로고    scopus 로고
    • The swarm and the queen: Towards a deterministic and adaptive particle swarm optimization
    • Washington, DC
    • M. Clerc, The swarm and the queen: towards a deterministic and adaptive particle swarm optimization, in: Proc. 1999 ICEC, Washington, DC, 1999, pp. 1951-1957.
    • (1999) Proc. 1999 ICEC , pp. 1951-1957
    • Clerc, M.1
  • 12
    • 52149083873 scopus 로고    scopus 로고
    • A novel particle swarm optimization with self adaptive inertia weight
    • Guangzhou, P.R. China
    • X. Zhang, S. Wen, H. Li, A novel particle swarm optimization with self adaptive inertia weight, in: Proceedings of 24th Chinese Control Conference, Guangzhou, P.R. China, 2005, pp. 1373-1376.
    • (2005) Proceedings of 24th Chinese Control Conference , pp. 1373-1376
    • Zhang, X.1    Wen, S.2    Li, H.3
  • 16
    • 3142768423 scopus 로고    scopus 로고
    • Self organizing hierarchical particle swarm optimizer with time varying acceleration coefficients
    • June
    • A. Ratanweera, S.K. Halgamuge, H.C. Watson, Self organizing hierarchical particle swarm optimizer with time varying acceleration coefficients, IEEE Transactions on Evolutionary Computation 8 (June (3)) (2004) 240-252.
    • (2004) IEEE Transactions on Evolutionary Computation , vol.8 , Issue.3 , pp. 240-252
    • Ratanweera, A.1    Halgamuge, S.K.2    Watson, H.C.3
  • 17
    • 84901478087 scopus 로고    scopus 로고
    • Particle swarm optimization with mutation
    • The 2003 Congress, Published in 8-12 December 2003
    • A. Stacey, M. Jancic, I. Grundy, Particle swarm optimization with mutation, in: Conf. IEEE Evolutionary Computation, CEC03. The 2003 Congress, Published in 8-12 December 2003, vol. 2, 2003, pp. 1425-1430.
    • (2003) Conf. IEEE Evolutionary Computation, CEC03 , vol.2 , pp. 1425-1430
    • Stacey, A.1    Jancic, M.2    Grundy, I.3
  • 19
    • 52649174454 scopus 로고    scopus 로고
    • Enhancing the particle swarm optimization based on equilibrium of distribution
    • W. Zu, Y.L. Hao, H.T. Zeng, W.Z. Tang, Enhancing the particle swarm optimization based on equilibrium of distribution, in: Control and Decision Conference, China, 2008, pp. 285-289.
    • (2008) Control and Decision Conference, China , pp. 285-289
    • Zu, W.1    Hao, Y.L.2    Zeng, H.T.3    Tang, W.Z.4
  • 21
    • 70450064704 scopus 로고    scopus 로고
    • Hybrid particle swarm optimization algorithm for solving systems of nonlinear equations
    • A. Ouyang, Y. Zhou, Q. Luo, Hybrid particle swarm optimization algorithm for solving systems of nonlinear equations, in: IEEE International Conference on Granular Computing, 2009, pp. 460-465.
    • (2009) IEEE International Conference on Granular Computing , pp. 460-465
    • Ouyang, A.1    Zhou, Y.2    Luo, Q.3
  • 22
    • 70349283606 scopus 로고    scopus 로고
    • Particle swarm optimization incorporating simplex search and center particle for global optimization
    • Muroran, Japan
    • C-C Hsu, C.H. Gao, Particle swarm optimization incorporating simplex search and center particle for global optimization, in: Conference on Soft Computing in Industrial Applications, Muroran, Japan, 2008.
    • (2008) Conference on Soft Computing in Industrial Applications
    • Hsu, C.-C.1    Gao, C.H.2
  • 25
    • 85014499091 scopus 로고    scopus 로고
    • Principle component particle swarm optimization
    • M.S. Voss, Principle component particle swarm optimization, in: IEEE Congress on Evolutionary Computation, vol. 1, 2005, pp. 298-305.
    • (2005) IEEE Congress on Evolutionary Computation , vol.1 , pp. 298-305
    • Voss, M.S.1
  • 33
    • 78149344583 scopus 로고    scopus 로고
    • Simplified particle swarm optimization algorithm based on particle classification
    • G. Chen, Simplified particle swarm optimization algorithm based on particle classification, in: Sixth International Conference on Natural Computation, 2010.
    • (2010) Sixth International Conference on Natural Computation
    • Chen, G.1
  • 39
    • 0034875551 scopus 로고    scopus 로고
    • A swarm with an effective information sharing mechanism for unconstrained and constrained single objective optimization problems
    • T. Ray, K.M. Liew, A swarm with an effective information sharing mechanism for unconstrained and constrained optimization single objective optimization problem, in: Proceedings of IEEE Congress on Evolutionary Computation, Seoul, Korea, 2001, pp. 75-80. (Pubitemid 32806321)
    • (2001) Proceedings of the IEEE Conference on Evolutionary Computation, ICEC , vol.1 , pp. 75-80
    • Ray, T.1    Liew, K.M.2
  • 60
    • 84857035930 scopus 로고    scopus 로고
    • The optimal capacity configuration of an independent wind/PV hybrid power supply system based on improved pso algorithm
    • Y.S. Zhao, J. Zhan, Y. Zhang, D.P. Wang, B.G. Zou, The optimal capacity configuration of an independent wind/PV hybrid power supply system based on improved pso algorithm, in: APSCOM 8th International Conference at 2009, 2009.
    • (2009) APSCOM 8th International Conference at 2009
    • Zhao, Y.S.1    Zhan, J.2    Zhang, Y.3    Wang, D.P.4    Zou, B.G.5
  • 62
    • 79958276990 scopus 로고    scopus 로고
    • Optimal sizing of distributed energy resources in microgrid considering wind energy uncertainty with respect to reliability
    • A. Navaeefard, S.M.M. Tafreshi, M. Barzegari, A.J. Shahrood, Optimal sizing of distributed energy resources in microgrid considering wind energy uncertainty with respect to reliability, in: IEEE International Energy Conference, 2010.
    • (2010) IEEE International Energy Conference
    • Navaeefard, A.1    Tafreshi, S.M.M.2    Barzegari, M.3    Shahrood, A.J.4
  • 66
    • 85030486199 scopus 로고    scopus 로고
    • Optimal power point tracking for stand-alone PV system using particle swarm optimization
    • M. Azab, Optimal power point tracking for stand-alone PV system using particle swarm optimization, International Journal of Renewable Energy Technology (2012).
    • (2012) International Journal of Renewable Energy Technology
    • Azab, M.1
  • 70
    • 84860306939 scopus 로고    scopus 로고
    • An improved particle swarm optimization (PSO)-based MPPT for PVwith reduced steady-state oscillation
    • August
    • K. Ishaque, Z. Salam, M. Amjad, S. Mekhilef, An improved particle swarm optimization (PSO)-based MPPT for PVwith reduced steady-state oscillation, IEEE Transactions on Power Electronics 27 (August (8)) (2012).
    • (2012) IEEE Transactions on Power Electronics , vol.27 , Issue.8
    • Ishaque, K.1    Salam, Z.2    Amjad, M.3    Mekhilef, S.4
  • 75
    • 84879290361 scopus 로고    scopus 로고
    • Multiple peaks tracking algorithm using particle swarm optimization incorporated with artificial neural network
    • M.S. Ngan, C.W. Tan, Multiple peaks tracking algorithm using particle swarm optimization incorporated with artificial neural network, World Academy of Science, Engineering and Technology 58 (2011).
    • (2011) World Academy of Science, Engineering and Technology , vol.58
    • Ngan, M.S.1    Tan, C.W.2
  • 79
    • 84885660603 scopus 로고    scopus 로고
    • Soft-switching boost converter for Photovoltaic power-generation system with pso based Mppt
    • (March (01))
    • P. Elanchezhian, Soft-switching boost converter for Photovoltaic power-generation system with pso based Mppt, International Journal of Communications and Engineering 06-No. 6 (March (01)) (2012).
    • (2012) International Journal of Communications and Engineering , vol.6 , Issue.6
    • Elanchezhian, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.