Parameters Determination of a-Si PV Module Equivalent Circuit Using Particle Swarm Optimization Coupled with Artificial Neural Network
Keywords:
photovoltaic, equivalent circuit, particle swarm optimization, artificial neural networkAbstract
This paper proposes a method for parameters determination of amorphous silicon photovoltaic module equivalent circuit based on double diode model using particle swarm optimization (PSO). This paper presents the use of artificial neural network in order to evaluate the boundary of photovoltaic module optimal parameters using the manufacturer data i.e. maximum power, open circuit voltage, short circuit current, voltage and current which generated the maximum power under standard test condition (STC). In this proposed technique, the optimal parameters can be evaluated by comparing the performance of photovoltaic module obtained from the estimated parameters and the test data at operating conditions. The results indicate that the agreement between the optimal parameters and the parameters achieved from the test and manufacturer data validates the proposed method.
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