On the other hand, single axis and dual axis solar trackers are also used to enhance the solar insolation collection capability by orienting the solar 5. 4 increased the efficiency of the nanowire CdS/CdTe solar cell from 9 to 11% by using a 10 nm thick molybdenum oxide as a transparent layer. Nowadays, several methods are being used to get the maximum energy from the solar cells 3. A data set of 63,000 samples collected during 18 months (from August 2013 to February 2015) has been used. 2 presented a neural networks based model of a PV module Mitsubishi Electric PV-TD185MF5 (185 Wp) which is located on the roof of the Faculty of Engineering of Vitoria-Gasteiz (University of the Basque Country, Spain). Its fundamental advantage based on neural networks for modelling is that no prior knowledge of the physical parameters related to the PV system is required 1. In this context, photovoltaic energy has become a feasible alternative to deal with the growing request of energy.Īn efficient MPPT algorithm is a key issue to improve the energy incomes of photovoltaic panels in addition to increase overall system efficiency. A descending trend in the price of the modules and other basic components of the photovoltaic facilities has been observed since 2010. A growth around 20% has been achieved in the recent years in the world photovoltaic market. This advance is possible thanks to the large reduction of the cost and to the efficiency increase of commercial photovoltaic modules. Photovoltaic market shows a steady and continuous growth worldwide. Proposed Lyapunov energy function is not symmetric about equilibrium or MPP because MPPT algorithm and PV module dynamic have no symmetric behaviour about this equilibrium point. The lines’ coefficients depend on PV module temperature. Optimal current vs maximum power curve has been modelled by a line. Stability is analysed for different temperature levels. This current set point is obtained with instantaneous PV module power and temperature dependent maximum power vs optimal current curve. The proposed MPPT algorithm proposes a current set point. Hence, the stability of temperature based MPPT can be demonstrated. This Lyapunov energy function has negative increment along each time step. This Lyapunov energy function has positive values for all values except into MPP given the PV module temperature. In order to proof its stability, authors propose a Lyapunov energy function. Authors shows how this PV module temperature based MPPT is stable and converges to MPP for each temperature. Therefore, the maximum power point (MPP) can be achieved in very few commutation steps if the control forces the PV module to work in temperature dependent optimal curve. Authors show that there is an optimal current vs maximum power curve that depends on photovoltaic (PV) module temperature. In this article authors propose a temperature based Maximum Power Point Tracking algorithm (MPPT).
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