DocumentCode :
2743808
Title :
Optimal Self Regulating PID Controller for Coordinated Wind-FC-Diesel Utilization Scheme
Author :
Sharaf, Adel M. ; El-Gammal, Adel A A
Author_Institution :
Centre for Energy Studies, Univ. of Trinidad & Tobago, Couva, Trinidad and Tobago
fYear :
2009
fDate :
25-27 Nov. 2009
Firstpage :
418
Lastpage :
423
Abstract :
The modeling and coordinated control strategy for a wind-diesel-fuel cell renewable generation system with battery backup are discussed in this paper. The proposed hybrid scheme tracks the maximum power efficiency and optimal energy capture from the wind, diesel and the fuel cell. The diesel generator set unit issued to balance the system demand power according to the total power demand in order to minimize the diesel fuel consumption. The wind system generator is regulated to maximize the energy capture from the wind turbine. The paper presents a novel application of particle swarm optimization (PSO) technique to control the 6-pulse rectifier converter, dynamic filter/capacitor compensation (DFC) and green power filter (GPF) schemes using real time dynamic self regulating error tracking.
Keywords :
diesel-electric power stations; fuel cell power plants; hybrid power systems; optimal control; power filters; power generation control; three-term control; wind turbines; backup battery; coordinated control; diesel generator set; dynamic filter compensation; energy capture; green power filter; optimal self regulating PID controller; particle swarm optimization; rectifier converter; wind turbines; wind-diesel-fuel cell renewable generation system; Batteries; Energy capture; Fuel cells; Optimal control; Power demand; Power generation; Power system modeling; Standby generators; Three-term control; Wind energy generation; Backup Battery; Diesel-driven generator; Dynamic Filter Compensator; Green Power Filter; PMDC motor drives; Particle Swarm Optimization PSO; Wind induction generator; fuel cell;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Modeling and Simulation, 2009. EMS '09. Third UKSim European Symposium on
Conference_Location :
Athens
Print_ISBN :
978-1-4244-5345-0
Electronic_ISBN :
978-0-7695-3886-0
Type :
conf
DOI :
10.1109/EMS.2009.18
Filename :
5358745
Link To Document :
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