Identification of optimal operating point of PV modules using neural network for real time maximum power tracking control

Journal Article · Thu Jun 01 00:00:00 EDT 1995 · IEEE Transactions on Energy Conversion

DOI:https://doi.org/10.1109/60.391904· OSTI ID:94105

Imakubo, Tomofumi ^[1]

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1. Kumamoto Univ. (Japan). Dept. of Electrical Engineering and Computer Science

This paper presents an application of a neutral network for the identification of the optimal operating point of PV modules for the real time maximum power tracking control. The output power from the modules depends on the environmental factors such as insolation, cell temperature, and so on. Therefore, accurate identification of optimal operating point and real time continuous control are required to achieve the maximum output efficiency. The proposed neural network has a quite simple structure and provides a highly accurate identification of the optimal operating point and also a highly accurate estimation of the maximum power from the PV modules.

• OSTI ID: 94105
• Report Number(s): CONF-940702-; ISSN 0885-8969; TRN: IM9538%%78
• Journal Information: IEEE Transactions on Energy Conversion, Vol. 10, Issue 2; Conference: 1994 Institute of Electrical and Electronic Engineers/Power Engineering Society (IEEE/PES) summer meeting, San Francisco, CA (United States), 24-28 Jul 1994; Other Information: PBD: Jun 1995
• Country of Publication: United States
• Language: English

Related Subjects

14 SOLAR ENERGY
PHOTOVOLTAIC POWER PLANTS
CONTROL SYSTEMS
NEURAL NETWORKS
CONTROL
POWER SYSTEMS