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Volumn 1, Issue , 2003, Pages 186-190

Study of Reactive Power Optimization Based on Immune Genetic Algorithm

Author keywords

Biological immune system; Genetic algorithm; Reactive power optimization

Indexed keywords

ANTIBODIES; ANTIGEN-ANTIBODY REACTIONS; COMPUTER SIMULATION; CONVERGENCE OF NUMERICAL METHODS; ELECTRIC LOSSES; ELECTRIC POWER SYSTEMS; ELECTRIC POWER TRANSMISSION; GENETIC ALGORITHMS; GLOBAL OPTIMIZATION; IMMUNOLOGY;

EID: 0842288320     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (21)

References (11)
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  • 2
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    • Liu Mingbo, Cheng Ying and Lin Shenghong, "Comparative studies of interior-point linear and nonlinear programming algorithms for reactive power optimization." Automation of electric power systems, vol.26, no. 1, pp.22-26, Jan. 2002.
    • (2002) Automation of Electric Power Systems , vol.26 , Issue.1 , pp. 22-26
    • Mingbo, L.1    Ying, C.2    Shenghong, L.3
  • 3
    • 0842287409 scopus 로고    scopus 로고
    • Application of expert knowledge adopted genetic algorithm to optimization of reactive power planning
    • Jul.
    • Li Yanan et. al, "Application of expert knowledge adopted genetic algorithm to optimization of reactive power planning," Power system technology, vol.25, no.7, pp.14-17, Jul.2001.
    • (2001) Power System Technology , vol.25 , Issue.7 , pp. 14-17
    • Yanan, L.1
  • 4
    • 0035304370 scopus 로고    scopus 로고
    • Fuzzy-based voltage/reactive power scheduling for voltage security improvement and loss reduction
    • Ching-Tzong Su and Chien-Tung Lin, "Fuzzy-based voltage/reactive power scheduling for voltage security improvement and loss reduction," IEEE Transactions on Power Delivery, vol.16, no.2, 2001.
    • (2001) IEEE Transactions on Power Delivery , vol.16 , Issue.2
    • Su, C.-T.1    Lin, C.-T.2
  • 6
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    • Optimal power flow by enhanced genetic algorithm
    • MAY
    • Anastasios G. Bakirtzis, Pandel N. Biskas and Christoforos E. Zoumas, "optimal power flow by enhanced genetic algorithm," IEEE Transactions on Power Systems, vol.17, no.2, pp.229-236, MAY 2002.
    • (2002) IEEE Transactions on Power Systems , vol.17 , Issue.2 , pp. 229-236
    • Bakirtzis, A.G.1    Biskas, P.N.2    Zoumas, C.E.3
  • 7
    • 0031999188 scopus 로고    scopus 로고
    • Optimal reactive power planning using evolutionary algorithms: A comparative study for evolutionary programming, evolutionary strategy, genetic algorithm, and linear programming
    • Feb.
    • Kwang. Y. Lee, and Frank. F. Yang, "Optimal reactive power planning using evolutionary algorithms: a comparative study for evolutionary programming, evolutionary strategy, genetic algorithm, and linear programming," IEEE Transactions on Power Systems, vol.13, no.1, pp.101-108, Feb. 1998.
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  • 9
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    • Solve packing problem using an immune genetic algorithm
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    • Cao Xianbin, Liu Kesheng, Wang Xufa, "Solve packing problem using an immune genetic algorithm," MINI- MICRO SYSTEM, vol.21, no.4, pp.361-363, Apr.2000.
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  • 11
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    • Solution of optimal power problem based on artificial immune algorithm
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    • Sun Yong-zhi and Wei Wei, "Solution of optimal power problem based on artificial immune algorithm," Automation of electric power systems, vol.26, no.12, pp.1-5, June 2002.
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    • Yong-Zhi, S.1    Wei, W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.