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Load management and control of the photovoltaic (PV) system using fuzzy logic

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2 Author(s)
Momoh, J.A. ; Dept. of Electr. Eng., Howard Univ., Washington, DC, USA ; Ofoli, A.R.

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.

Note: As originally published the document was missing its final page. A corrected replacement PDF file is now provided.  

Published in:

Power Engineering, 2001. LESCOPE '01. 2001 Large Engineering Systems Conference on

Date of Conference:

11-13 July 2001