An accurate method for the PV model identification based on a genetic algorithm and the interior-point method

Renewable Energy

Volumn 72, Issue , 2014, Pages 212-222

  Dizqah, Arash M ^a   Maheri, Alireza ^a   Busawon, Krishna ^a  

^a NORTHUMBRIA UNIVERSITY   (United Kingdom)

Author keywords

Genetic algorithm (GA); Interior point method (IPM); Maximum power point (MPP); Photovoltaic (PV); PV model identification

Indexed keywords

ERRORS; GLOBAL OPTIMIZATION; MANUFACTURE; PHOTOVOLTAIC CELLS;

EQUIVALENT ELECTRICAL CIRCUITS; GLOBAL OPTIMIZATION PROBLEMS; INTERIOR-POINT METHOD; MAXIMUM POWER POINT; NOMINAL OPERATING CELL TEMPERATURES (NOTC); PHOTOVOLTAIC; PV MODELS; STANDARD TEST CONDITION (STC);

GENETIC ALGORITHMS;

GENETIC ALGORITHM; IDENTIFICATION METHOD; NUMERICAL MODEL; OPTIMIZATION; PHOTOVOLTAIC SYSTEM;

EID: 84905216920     PISSN: 09601481     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.renene.2014.07.014     Document Type: Article

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