The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SYSTEMS
Transactions ID Number: 28-453
Full Name: Cheng-chien Kuo
Position: Associate Professor
Age: ON
Sex: Male
Address: 499, Sec. 4, Tamking Rd., Tamsui, Taipei
Country: TAIWAN
Tel: 920881490
Tel prefix: +886
Fax: +886228013973
E-mail address: cckuo@mail.sju.edu.tw
Other E-mails: cckuo58@seed.net.tw
Title of the Paper: Refined binary particle swarm optimization and application in power system
Authors as they appear in the Paper: Po-hung Chen, Cheng-chien Kuo, Fu-hsien Chen, Cheng-chuan Chen
Email addresses of all the authors: phchen@mail.sju.edu.tw, cckuo@mail.sju.edu.tw, fu@mail.sju.edu.tw, chaung@mail.sju.edu.tw
Number of paper pages: 10
Abstract: This paper presents new solution methods and results based on a refined binary particle swarm optimization (RBPSO) for solving the generation/pumping scheduling problem within the power system operation with pumped-storage units. The proposed RBPSO approach combines a basic particle swarm optimization (PSO) with binary encoding/decoding techniques. Complete solution algorithms and encoding/decoding techniques are proposed in the paper. The optimal schedules of both pumped-storage and thermal units are concurrently obtained within the evolutionary process of evaluation functions. Significantly, no hydro-thermal iteration is needed. The proposed approach is applied with success to an actual utility system, which consists of four pumped-storage units and 34 thermal units. The results indicate the attractive properties of the RBPSO approach in practical application, namely, a highly optimal solution cost and more robust convergence behavior.
Keywords: Refined binary particle swarm optimization, Power system, Pumped-storage.
EXTENSION of the file: .pdf
Special (Invited) Session: Pumped hydro units optimal dispatch by refined pso
Organizer of the Session: 603-306
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