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Photovoltaic parameter estimation using heuristic optimization

Mirzapour, O ; Sharif University of Technology | 2018

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  1. Type of Document: Article
  2. DOI: 10.1109/KBEI.2017.8324904
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2018
  4. Abstract:
  5. Photovoltaic (PV) panel accurate modeling is essential for operational studies and generation estimation under actual conditions and power electronic control device designs in grid connected or isolated power systems. Inaccuracy in modeling parameters such as photon's current, diode's saturation current, series and parallel resistances and diodes ideality coefficients causes errors in modeling and simulating photovoltaic panel's operation. In this paper, photovoltaic panel's parameters are estimated according to characteristic curves obtained from experiments. Heuristic optimization methods are utilized to calculate parameters for both singlediode and double-diode models. Results indicate that harmony search, binary particle swarm, artificial bee colony, cuckoo search, firefly and bat algorithms yield better estimation, compared to other algorithms. Model validation is done by Newton algorithm which has more accuracy in double-diode model. © 2017 IEEE
  6. Keywords:
  7. Heuristic optimization algorithms ; parameter estimation ; photovoltaic panel modeling ; Radiation ; Diodes ; Electric power system control ; Engineering research ; Heat radiation ; Heuristic algorithms ; Heuristic methods ; Knowledge based systems ; Optimization ; Photovoltaic cells ; Artificial bee colonies ; Heuristic optimization ; Modeling and simulating ; Photovoltaic panels ; Photovoltaic parameters ; Power electronic control ; Heuristic optimization method
  8. Source: 2017 IEEE 4th International Conference on Knowledge-Based Engineering and Innovation ; Volume 2018-January , 2018 , Pages 0792-0797 ; 9781538626405 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/8324904