A PIC controller for grid connected PV system

Lima, J.C.; Medeiros, A.; Canalli, V.M.; Antunes, Felipe; Reis, Fernando B. dos

doi:10.1109/ciep.2000.891431

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“…Some researchers have used neural networks in order to model the PV characteristics for estimating maximum power point operating conditions [3,4], while others have used neural networks in the feedback control loop of the control system [2,5]. In some research works the open circuit voltage is used for MPPT [6,7].…”

Section: Introductionmentioning

confidence: 99%

New MPPT Controller Design for PV Arrays Using Neural Networks (Zanjan City Case Study)

Habibi

Yazdizadeh

2009

Lecture Notes in Computer Science

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Abstract. This paper proposes a novel Voltage-Based Maximum Power Point Tracking (MPPT) technique by introducing a new and simple tracking algorithm. Compared with other Voltage-Based MPPT methods which assume the optimal voltage factor as a constant parameter, in the proposed algorithm, the optimal voltage factor is instantaneously determined by a neural network. The proposed MPPT algorithm is applied to a Buck regulator to regulate the output power at its maximum possible value. Simulation results show the excellent MPPT performance in different temperatures and insulation levels during a day in a specific area.

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