DocumentCode :
690738
Title :
PSO-based Sugeno fuzzy logic controller of photovoltaic generator for frequency stabilization in stand-alone power system
Author :
Sa-ngawong, Nattapol ; Ngamroo, Issarachai
Author_Institution :
Dept. of Electr. Eng., King Mongkut´s Inst. of Technol. Ladkrabang, Bangkok, Thailand
fYear :
2013
fDate :
8-11 Dec. 2013
Firstpage :
1
Lastpage :
6
Abstract :
This paper proposes a particle swarm optimization-based Sugeno fuzzy logic controller (PSO-SFLC) of photovoltaic (PV) generator for frequency stabilization in a stand-alone power system. The PSO-SFLC is used to adjust the modulation ratio of the PV inverter so that the PV output power can be swiftly controlled to follow the load change and stabilize the system frequency fluctuation. The PSO is used to automatically tune membership functions and control rules of SFLC. The input signals of SFLC are solar insolation and frequency deviation signals while the output signal is the modulation ratio of the inverter. In the simulation study, the frequency stabilizing effect of PV with PSO-SFLC is compared with the PV with SFLC and the PV with maximum power point tracking under random load and solar insolation change. Simulation results show the superior effect of the PV with proposed PSO-SFLC over the PV with SFLC and the PV with maximum power point tracking.
Keywords :
frequency stability; fuzzy control; invertors; maximum power point trackers; particle swarm optimisation; photovoltaic power systems; solar cells; PSO-SFLC; PV generator; PV inverter; automatically tune membership functions; frequency deviation signals; frequency stabilization; maximum power point tracking; modulation ratio; particle swarm optimization-; particle swarm optimization-based Sugeno fuzzy logic controller; photovoltaic generator; solar insolation; stand-alone power system; Fluctuations; Frequency control; Frequency modulation; Generators; Inverters; Power generation; Frequency stabilization; Photovoltaic; Sugeno fuzzy logic controller; particle swarm optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2013 IEEE PES Asia-Pacific
Conference_Location :
Kowloon
Type :
conf
DOI :
10.1109/APPEEC.2013.6837242
Filename :
6837242
Link To Document :
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