메뉴 건너뛰기




Volumn 23, Issue 2, 2013, Pages 249-269

Multi-objective optimization problem for the Thyristor Controlled Series Compensators placement with multiple decision-making approaches

Author keywords

Fuzzy C Means clustering; Moclpso; Multi objective optimization; System loadability; Thyristor Controlled Series Compensator; Topsis

Indexed keywords

FUZZY C MEANS CLUSTERING; MOCLPSO; SYSTEM LOADABILITY; THYRISTOR CONTROLLED SERIES COMPENSATOR; TOPSIS;

EID: 84884594731     PISSN: None     EISSN: 20507038     Source Type: Journal    
DOI: 10.1002/etep.658     Document Type: Article
Times cited : (13)

References (31)
  • 1
    • 0035425902 scopus 로고    scopus 로고
    • Optimal location of multi-type FACTS devices in a power system by means of genetic algorithms
    • DOI 10.1109/59.932292, PII S0885895001060771
    • Gerbex S, Cherkaoui R, Germond AJ. Optimal location of multi-type FACTS devices in a power system by means of genetic algorithms. IEEE Transactions on Power systems 2001;16(3):537-544. (Pubitemid 32680754)
    • (2001) IEEE Transactions on Power Systems , vol.16 , Issue.3 , pp. 537-544
    • Gerbex, S.1    Cherkaoui, R.2    Germond, A.J.3
  • 2
    • 38049041448 scopus 로고    scopus 로고
    • Optimal location and parameter settings of multiple TCSCs for increasing power system loadability based on GA and PSO techniques
    • Rashed GI, Shaheen HI, Cheng SJ. Optimal location and parameter settings of multiple TCSCs for increasing power system loadability based on GA and PSO techniques. Third International Conference on Natural Computation 2007;4:335-344.
    • (2007) Third International Conference on Natural Computation , vol.4 , pp. 335-344
    • Rashed, G.I.1    Shaheen, H.I.2    Cheng, S.J.3
  • 3
    • 33750611522 scopus 로고    scopus 로고
    • Application of particle swarm optimization technique for optimal location of FACTS devices considering cost of installation and system loadability
    • DOI 10.1016/j.epsr.2006.03.006, PII S0378779606000630
    • Saravanan M, Slochanal S M R, Venkatesh P, Prince S A J. Application of particle swarm optimization technique for optimal location of FACTS devices considering cost of installation and system loadability. Electric Power Systems Research 2007;77(3-4):276-283. (Pubitemid 44693091)
    • (2007) Electric Power Systems Research , vol.77 , Issue.3-4 , pp. 276-283
    • Saravanan, M.1    Slochanal, S.M.R.2    Venkatesh, P.3    Abraham, J.P.S.4
  • 5
    • 80053129487 scopus 로고    scopus 로고
    • Network loadability maximization by changing the reactance of transmission lines applying genetic algorithm and voltage stability considerations
    • Poland, 20-22Sept
    • Faezeh M, Moein M, Aghamohammadi MR. Network loadability maximization by changing the reactance of transmission lines applying genetic algorithm and voltage stability considerations. International Symposium on Modern Electric Power Systems, Poland, 20-22Sept. 2010, http://www.meps10.pwr.wroc.pl/ submission/data/papers/12.1.pdf
    • (2010) International Symposium on Modern Electric Power Systems
    • Faezeh, M.1    Moein, M.2    Aghamohammadi, M.R.3
  • 7
    • 0031076489 scopus 로고    scopus 로고
    • Assessment of transmission system loadability
    • Klump RP, Overbye TJ. Assessment of transmission system loadability. IEEE Transactions on Power Systems 1997;12(1):416-423. (Pubitemid 127771387)
    • (1997) IEEE Transactions on Power Systems , vol.12 , Issue.1 , pp. 416-423
    • Klump, R.P.1    Overbye, T.J.2
  • 12
    • 70349223709 scopus 로고    scopus 로고
    • Optimal location and setting of SVC and TCSC devices using non-dominated sorting particle swarm optimization
    • Benabid R, Boudour M, Abido MA. Optimal location and setting of SVC and TCSC devices using non-dominated sorting particle swarm optimization. Electric Power Systems Research 2009;79(12):1668-1677.
    • (2009) Electric Power Systems Research , vol.79 , Issue.12 , pp. 1668-1677
    • Benabid, R.1    Boudour, M.2    Abido, M.A.3
  • 14
    • 20444487352 scopus 로고    scopus 로고
    • An empirical assessment of comparative approaches to service quality measurement
    • Avinandan M, Prithwiraj N. An empirical assessment of comparative approaches to service quality measurement. Journal of Services Marketing 2005;19(3):174-184.
    • (2005) Journal of Services Marketing , vol.19 , Issue.3 , pp. 174-184
    • Avinandan, M.1    Prithwiraj, N.2
  • 15
    • 84882297678 scopus 로고    scopus 로고
    • A problem-based selection of multi-attribute decision-making methods
    • Yeh C-H. A problem-based selection of multi-attribute decision-making methods. International Transactions in Operational Research 2002;9:169-181.
    • (2002) International Transactions in Operational Research , vol.9 , pp. 169-181
    • Yeh, C.-H.1
  • 16
    • 0015644823 scopus 로고
    • Cluster validity with fuzzy sets
    • Bezdek JC. Cluster validity with fuzzy sets. Journal of Cybernetics 1973;3(3):58-71.
    • (1973) Journal of Cybernetics , vol.3 , Issue.3 , pp. 58-71
    • Bezdek, J.C.1
  • 20
    • 77952561696 scopus 로고    scopus 로고
    • Fuzzy c-means clustering damping controller design for a power system installed with TCSC
    • Kharagpur, 27-29 Dec
    • Khatami SV, Talebi N, Razavi M T N. Fuzzy c-means clustering damping controller design for a power system installed with TCSC. International Conference on Power Systems, Kharagpur, 27-29 Dec. 2009.
    • (2009) International Conference on Power Systems
    • Khatami, S.V.1    Talebi, N.2    Razavi, M.T.N.3
  • 21
    • 75749157687 scopus 로고    scopus 로고
    • Parameter optimization of improved fuzzy c-means clustering algorithm for brain MR image segmentation
    • Mohamad F, Nosratallah F, Mohammad T. Parameter optimization of improved fuzzy c-means clustering algorithm for brain MR image segmentation. Engineering Applications of Artificial Intelligence 2010;23(2):160-168.
    • (2010) Engineering Applications of Artificial Intelligence , vol.23 , Issue.2 , pp. 160-168
    • Mohamad, F.1    Nosratallah, F.2    Mohammad, T.3
  • 22
    • 78651450303 scopus 로고    scopus 로고
    • Method of image segmentation based on Fuzzy C-Means clustering algorithm and artificial fish swarm algorithm
    • Guilin, China, 22-24 Oct
    • Chu X, Zhu Y, Shi J, Song J. Method of image segmentation based on Fuzzy C-Means clustering algorithm and artificial fish swarm algorithm. International Conference on Intelligent Computing and Integrated Systems, Guilin, China, 22-24 Oct. 2010;254-257.
    • (2010) International Conference on Intelligent Computing and Integrated Systems , pp. 254-257
    • Chu, X.1    Zhu, Y.2    Shi, J.3    Song, J.4
  • 23
    • 33744773216 scopus 로고    scopus 로고
    • Multiobjective evolutionary algorithms for electric power dispatch problem
    • DOI 10.1109/TEVC.2005.857073
    • Abido MA. Multiobjective evolutionary algorithms for electric power dispatch problem. IEEE Transactions on Evolutionary Computation 2006;10:315-329. (Pubitemid 43821761)
    • (2006) IEEE Transactions on Evolutionary Computation , vol.10 , Issue.3 , pp. 315-329
    • Abido, M.A.1
  • 25
    • 32644449879 scopus 로고    scopus 로고
    • Comprehensive learning particle swarm optimizer for solving multiobjective optimization problems
    • DOI 10.1002/int.20128
    • Huang VL, Suganthan PN, Liang JJ. Comprehensive learning particle swarm optimizer for solving multiobjective optimization problems. International Journal of Intelligent Systems 2006;21:209-226. (Pubitemid 43242582)
    • (2006) International Journal of Intelligent Systems , vol.21 , Issue.2 , pp. 209-226
    • Huang, V.L.1    Suganthan, P.N.2    Liang, J.J.3
  • 30
    • 33750232921 scopus 로고    scopus 로고
    • On finding pareto-optimal solutions through dimensionality reduction for certain large-dimensional multi-objective optimization problems
    • Deb K, Dhish KS. On finding pareto-optimal solutions through dimensionality reduction for certain large-dimensional multi-objective optimization problems. KanGAL Report Number 2005011;1-19, http://www.iitk.ac.in/ kangal/papers/k2005011.pdf.
    • KanGAL Report Number 2005011 , pp. 1-19
    • Deb, K.1    Dhish, K.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.