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Performance based unit loading optimization using particle swarm optimization approach

หน่วยงาน Central Queensland University, Australia

รายละเอียด

ชื่อเรื่อง : Performance based unit loading optimization using particle swarm optimization approach
นักวิจัย : Li, Lily Dujuan. , Zhou, J. , Yu, Xing Huo.
คำค้น : TBA , 660401 Industry , 660504 Conservation and efficiency , 700101 Application packages , 280212 Neural Networks, Genetic Alogrithms and Fuzzy Logic , 280213 Other Artificial Intelligence , Electric power systems , Algorithms. , Evolutionary computing -- PSO algorithm -- Optimization -- Loading dispatching -- Application
หน่วยงาน : Central Queensland University, Australia
ผู้ร่วมงาน : -
ปีพิมพ์ : 2549
อ้างอิง : http://hdl.cqu.edu.au/10018/7726 , http://acquire.cqu.edu.au:8080/vital/access/manager/Repository/cqu:413 , cqu:413
ที่มา : Li, LD, Zhou, J & Yu, XH 2006, 'Performance based unit loading optimization using particle swarm optimization approach', Proceedings of the 5th WSEAS International Conference on Computational intelligence, man-machine systems and cybernetics, Athens, Greece. (As viewed at 14/5/2007) http://www.wseas.us/e-library/conferences/2006venice/papers/539-494.pdf
ความเชี่ยวชาญ : -
ความสัมพันธ์ : Proceedings of the 5th WSEAS International Conference on Computational intelligence, man-machine systems and cybernetics. Athens, Greece (not quite sure). : WSEAS - World Scientific and Engineering Academy Society, 2006. p. 351-356 6 pages Refereed 1790-5095 (online) 1790-5095 1790-5117 9608457564 (online) , aCQUIRe [electronic resource] : Central Queensland University Institutional Repository.
ขอบเขตของเนื้อหา : -
บทคัดย่อ/คำอธิบาย :

This paper presents a Particle Swarm Optimization (PSO) based approach for economically dispatching generation load among different generators based on the unit performance. A modified PSO algorithm with preserving feasibility and repairing infeasibility strategies is adopted for handling constraints. A four-unit loading optimization for an Australian power plant is successfully implemented by using the modified PSO algorithm. The result reveals the capability, effectiveness and efficiency of using evolutionary algorithms such as PSO in solving significant industrial problems in the power industry.

บรรณานุกรม :
Li, Lily Dujuan. , Zhou, J. , Yu, Xing Huo. . (2549). Performance based unit loading optimization using particle swarm optimization approach.
    กรุงเทพมหานคร : Central Queensland University, Australia.
Li, Lily Dujuan. , Zhou, J. , Yu, Xing Huo. . 2549. "Performance based unit loading optimization using particle swarm optimization approach".
    กรุงเทพมหานคร : Central Queensland University, Australia.
Li, Lily Dujuan. , Zhou, J. , Yu, Xing Huo. . "Performance based unit loading optimization using particle swarm optimization approach."
    กรุงเทพมหานคร : Central Queensland University, Australia, 2549. Print.
Li, Lily Dujuan. , Zhou, J. , Yu, Xing Huo. . Performance based unit loading optimization using particle swarm optimization approach. กรุงเทพมหานคร : Central Queensland University, Australia; 2549.