Abstract
As you know, there are several possible options for searching for the maximum power value — this is the use of fuzzy logic algorithms (Fuzzy Logic) and a neural network. However, there are also several ways to specify input information. The first method is called digital, when the neural network (namely, it is the object in this article that makes the search for the MMP value) receives the input values in the form of a digital array of power versus voltage P (U). These dependences, as a rule, are obtained by directly measuring the output voltage and current (I) of the regenerative energy sources and on the basis of these data for calculating the power. And the second method is called graphic and it is applied, first of all, when it is impossible or impractical to use the first method. The system operating according to this method is faced with the task of recognizing the maximum point having only a graphic object. This paper presents an example of the use of NN, which works according to the second method, to search for the value of the MMP in an electrical system with an alternative source of energy (solar panel). The neural network was built and trained in the Wolfram Mathematic application package.
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