DocumentCode :
2276961
Title :
A novel GA-self regulating VSC-SMC controller for common AC-DC PV-FC-diesel-battery green energy utilization scheme
Author :
Sharaf, Adel M. ; El-Gammal, Adel A A
Author_Institution :
Centre for Energy Syst., Univ. of Trinidad & Tobago, Couva, Trinidad and Tobago
fYear :
2010
fDate :
25-27 Aug. 2010
Firstpage :
1
Lastpage :
6
Abstract :
The paper presents the dynamic modeling and coordinated control strategy for an integrated micro grid scheme using Photo Voltaic PV, Fuel Cell FC, and backup Diesel generation with additional battery backup system. The integrated scheme is fully stabilized using a novel FACTS based green filter compensators that ensures stabilized DC bus voltage, minimal inrush current conditions, and load excursions while ensuring that the diesel generator set is only utilized when the demand energy exceeds the PV, FC and battery sources capacity within a specified operational levels to ensure highest efficient operation of the integrated renewable energy sources with the diesel engine. The paper presents a novel application of Multi Objective Genetic search Algorithms MOGA to optimally tune the gains of the variable structure sliding mode dynamic controller (VSC-SM) to control the 6-pulse controlled rectifier converter, dynamic filter/capacitor compensation DFC and the Green Power Filter GPF AC and DC schemes using real time dynamic self regulating error tracking.
Keywords :
diesel engines; diesel-electric generators; flexible AC transmission systems; fuel cells; variable structure systems; DC bus voltage; FACTS; GA self regulating VSC SMC controller; coordinated control strategy; diesel generator; green filter compensator; inrush current; integrated micro grid scheme; integrated renewable energy source; multi objective genetic search algorithm; variable structure sliding mode dynamic controller; Converters; Gallium; Heuristic algorithms; Optimization; Regulators; Voltage control; Backup Battery; Diesel-driven generator; E-V Electric Vehicles; Fuel Cell; Green Power Filter; Multi Objective Genetic Algorithm MOGA; Photo Voltaic PV;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Power and Energy Conference (EPEC), 2010 IEEE
Conference_Location :
Halifax, NS
Print_ISBN :
978-1-4244-8186-6
Type :
conf
DOI :
10.1109/EPEC.2010.5697244
Filename :
5697244
Link To Document :
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