# ANN based real-time estimation of power generation of different PV module types
> Syafaruddin

URL kanonis: https://discover.unhas.ac.id/publications/pub_scopus_67651146431
Jurnal / Konferensi: Ieej Transactions on Power and Energy
Tahun terbit: 2009
DOI: https://doi.org/10.1541/ieejpes.129.783
ISSN: 03854213
Kuartil SJR: Q3
Citations: 10

## Authors
- Syafaruddin

## Abstract
Distributed generation is expected to become more important in the future generation system. Utilities need to find solutions that help manage resources more efficiently. Effective smart grid solutions have been experienced by using real-time data to help refine and pinpoint inefficiencies for maintaining secure and reliable operating conditions. This paper proposes the application of Artificial Neural Network (ANN) for the real-time estimation of the maximum power generation of PV modules of different technologies. An intelligent technique is necessary required in this case due to the relationship between the maximum power of PV modules and the open circuit voltage and temperature is nonlinear and can't be easily expressed by an analytical expression for each technology. The proposed ANN method is using input signals of open circuit voltage and cell temperature instead of irradiance and ambient temperature to determine the estimated maximum power generation of PV modules. It is important for the utility to have the capability to perform this estimation for optimal operating points and diagnostic purposes that may be an early indicator of a need for maintenance and optimal energy management. The proposed method is accurately verified through a developed real-time simulator on the daily basis of irradiance and cell temperature changes.

## Keywords
- Computer science
- Voltage
- Photovoltaic system
- Maximum power principle
- Solar irradiance
- Power (physics)
- Nonlinear system
- Artificial neural network
- Smart grid
- Real-time computing
- Reliability engineering
- Irradiance
- Engineering
- Electrical engineering
- Artificial intelligence
- Geology
- Physics
- Atmospheric sciences
- Quantum mechanics

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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