Abstract | ||
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In this paper, design of control strategy for hybrid fuel cell/energy storage distributed power generation system during voltage sag has been presented. The proposed control strategy allows hybrid distributed generation system works properly when a voltage disturbance occurs in distribution system and hybrid system stays connected to the main grid. To distribute the power between power sources, a Lyapanov based neuro-fuzzy control strategy has been developed during voltage disturbances. Then, a fuzzy sliding-mode control strategy is presented for designing the controllers DC/DC and DC/AC converters. Simulation results are given to show the overall system performance including active power control and voltage sag ride-through capability of the hybrid distributed generation system. |
Year | DOI | Venue |
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2010 | 10.1016/j.eswa.2010.04.080 | Expert Syst. Appl. |
Keywords | Field | DocType |
generation system,distribution system,hybrid system,fuzzy sliding-mode control strategy,neuro-fuzzy,lyapanov,energy storage,intelligent robust control,hybrid distributed generation,active power control,voltage disturbance,fuzzy sliding control,voltage sag,fuel cell,power generation system,neuro-fuzzy control strategy,overall system performance,control strategy,robust control,sliding mode control,power control,neuro fuzzy,system performance,distributed system | Neuro-fuzzy,Computer science,Control theory,Voltage,Converters,Voltage regulation,Distributed generation,Robust control,Hybrid system,Voltage sag | Journal |
Volume | Issue | ISSN |
37 | 12 | Expert Systems With Applications |
Citations | PageRank | References |
2 | 1.40 | 4 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Amin Hajizadeh | 1 | 8 | 6.62 |
Masoud Aliakbar Golkar | 2 | 9 | 3.96 |