Journal Name:
- International Journal of Innovation and Applied Studies
Key Words:
| Author Name |
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Abstract (2. Language):
In solar photovoltaic stand - alone system the basic device is the PV module which is used to charge the storage
device during daytime and supplies power to the load during dusk to dawn. This paper presents knowledge based system for
evaluating power generation system in PV model. The performance of a PV system depends on the environmental factors
such as irradiation and cell temperature. It is a non-linear characteristic and this characteristic is varied in different PV
technologies. To solve this problem, an intelligent technique called the Artificial Neural Network (ANN) can be talented
solution for obtaining the maximum output power in real-time operation. Initially this work focuses on the simulation of
characteristics of the panel power output of PV module at different level of radiation. Thus panel power output is evaluated
different level of radiation and the simulated characteristics are figure with the 3D nomogram analysis. The database device
using microcontroller is designed as per the simulation studies and it is attached in the solar panel to monitor the real time
value of PV standalone system. The above mentioned simulated comparison is validated with results of local climatic data
and its accuracy of the proposed methods has been measured with the error estimation method. Thus the proposed method
will be very useful for determining the real-time optimum operating condition of PV system with estimated maximum power
generation.
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FULL TEXT (PDF):
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