One of the most difficult challenges that a photovoltaic panel (PV) system can face is the presence of the effect of partial shade (PS), which causes a loss in the amount of current in the rows and thus leads to a loss in the maximum power point (MPP) of the system, in addition to that it also has a significant impact on reducing the life of the PV panels. In order to overcome this phenomenon over the past years, several theories and methods have been put forward to address the problem of the presence of the PS, but it was not sufficient to overcome all the problems related to this matter in terms of the ability to disperse the effect of the shadow as well as the ease in expanding the system and reducing the number of electrical connections and switches, and most importantly It is dispensing with the use of controls and complex algorithms. In this study, a new dynamic method known as Automatic Switching Block (ASB) is presented, which has the ability to overcome the problem of expansion in the system, as well as its efficiency in the ability to extract the maximum power from the system without the need for algorithms or controllers, and in another aspect, it has the ability to regulate the output voltage. The ASB is implemented in the MATLAB environment on different sizes of PV panel arrays under different PSCs and a comparison of the results will be made with previous methods and theories of such as SuDoKu, Futoshouki (FPP), Total cross-tied (TCT), and L-shape algorithm. The results showed that the proposed method has a great ability to disperse the shadow and obtain the largest possible energy capacity in the system, as the current method is superior to the other method to extract MPP as it achieved an improvement of about 12% as compared with L-shape, as well as more than 15% as compared to the TCT, FPP, and Sudoku. On the other hand, it has proven its efficiency in regulating the voltage output and obtaining a semi-stable voltage with an error rate of less than %5.