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Volumn 30, Issue , 2012, Pages 418-425

Optimization of hydro power plant design by Particle Swarm Optimization (PSO)

Author keywords

Benefit cost ratio; disilting chamber; iteration; power house; trench weir; water conductor system

Indexed keywords

BENEFIT COST RATIOS; COST FACTORS; COST RATION; DIRECT COSTS; DISILTING CHAMBER; ECONOMIC VIABILITY; GENERATION TECHNIQUES; HYDRO-POWER GENERATION; HYDROPOWER PLANTS; ITERATION; PARTICLE SWARM OPTIMIZATION TECHNIQUE; RESEARCH FIELDS; REVENUE GENERATION;

EID: 84859026598     PISSN: 18777058     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/j.proeng.2012.01.880     Document Type: Conference Paper
Times cited : (23)

References (19)
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  • 6
    • 18544381881 scopus 로고    scopus 로고
    • A self-adaptive chaotic particle swarm algorithm for short term hydroelectric system scheduling in deregulated environment
    • Oct.
    • J. Chuanwen and E. Bompard, "A self-adaptive chaotic particle swarm algorithm for short term hydroelectric system scheduling in deregulated environment," Energy Conversion Manage., vol. 46, no. 17, Oct. 2005, pp. 2689-2696.
    • (2005) Energy Conversion Manage. , vol.46 , Issue.17 , pp. 2689-2696
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  • 7
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    • Hreinsson, E.B.; "Optimal Sizing ofProjects in a Hydro-based System". IEEE Transactions on Energy Conversion, Vol. 5, number 1, March 1990, pp 32-38.
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  • 19
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    • Optimizations of PID gains by particle swarm optimizations in fuzzy based automatic generation control
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    • S. P. Ghoshal, "Optimizations ofPID gains by particle swarm optimizations in fuzzy based automatic generation control," Electric Power Syst. Res., vol. 72, no. 3, Dec. 2004, pp. 203-212.
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    • Ghoshal, S.P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.