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A genetic algorithm approach to parameter estimation for PV modules
conference contribution
posted on 2023-05-23, 11:24 authored by Zhang, Y, Sarah LydenSarah Lyden, Bernardo Leon de la Barra, Haque, MEAccurate modelling of photovoltaic (PV) modules is necessary to understand PV cell operation and to develop maximum power point tracking (MPPT) algorithm for efficient operation of the PV system. A variety of models are proposed in the literature that use a current source, diodes and resistors to represent a PV module. The parameter values involved in the model need to be accurately estimated to improve the model accuracy. The values of the series resistance and diode’s ideality factor could be improved in previous research. This paper proposes a genetic algorithm approach to parameter estimation for PV modules. A parameter estimation technique proposed in previous research is also explored and analyzed. Results show that the proposed parameter estimation technique reduces the errors at the remarkable points when compared to the existing method.
History
Publication title
Proceedings of the 2016 IEEE Power and Energy Society General MeetingPagination
1-5ISBN
978-1-5090-4168-8Department/School
School of EngineeringPublisher
Institute of Electrical and Electronics EngineersPlace of publication
USAEvent title
2016 IEEE Power and Energy Society General MeetingEvent Venue
Boston, MassachusettsDate of Event (Start Date)
2016-07-17Date of Event (End Date)
2016-07-21Rights statement
Copyright 2016 IEEERepository Status
- Restricted