DocumentCode :
3352596
Title :
Load management and control of the photovoltaic (PV) system using fuzzy logic
Author :
Momoh, James A. ; Ofoli, Abdul R.
Author_Institution :
Dept. of Electr. Eng., Howard Univ., Washington, DC, USA
fYear :
2001
fDate :
11-13 July 2001
Firstpage :
184
Lastpage :
188
Abstract :
This paper provides a fuzzy logic control scheme for PV power systems under faults and load disturbances. The classical model using microprocessors, power electronics and DC-DC converters can be made less complicated with the application of a fuzzy logic controller, which is robust and good for nonlinear systems. Inputs to the fuzzy logic controller are the optimal power tracked (using a genetic algorithm), the state of charge of the battery and the load current. The output controls the rate of current injection into the battery for energy storage or increases or decreases the load in priority order to match the optimal requirement. The fuzzy design scheme is developed around an in-house PV program using Matlab software.
Keywords :
DC-DC power convertors; control system analysis computing; control system synthesis; fuzzy control; genetic algorithms; load management; nonlinear control systems; optimal control; photovoltaic power systems; power system analysis computing; power system control; solar cell arrays; Matlab software; PV power system; battery state-of-charge; control design; control simulation; energy storage; faults; fuzzy logic control scheme; genetic algorithm; load current; load disturbance; load management; nonlinear systems; optimal power tracking; Batteries; Control systems; Fuzzy logic; Load management; Optimal control; Photovoltaic systems; Power system control; Power system faults; Power system modeling; Solar power generation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering, 2001. LESCOPE '01. 2001 Large Engineering Systems Conference on
Conference_Location :
Halifax, NS, Canada
Print_ISBN :
0-7803-7107-0
Type :
conf
DOI :
10.1109/LESCPE.2001.941648
Filename :
941648
Link To Document :
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