Maximum Power Point Tracking for PV System Using Advanced Neural Networks Technique

Solar energy is clean, renewable and its decentralized character is appropriate well at the scattered state of the zones with low density of population. The cost of electricity from the solar array system is more expensive than the electricity from the utility grid. So, it is necessary to operate the PV system at maximum efficiency by tracking maximum power point at any environmental condition. In this work, the neural network back propagation algorithm is used to control the operation of the PV array in order to extract the maximum power. Two error functions are used. The first, the classic error function, and the second is a modified error function which takes into consideration the derivative of the error function also. The results obtained are compared and discussed. KeywordSolar Energy, PV System, Maximum Power Point Tracking (MPPT), Neural Networks, Modified Error Function