Genetic Algorithm Based PV Array Reconfiguration Technique under Partial Shading Condition

Abstract

Power mismatch usually occurs when interconnected photovoltaic (PV) modules have different characteristics or are under different working conditions. In this case, the energy generated by the PV arrays may be significantly reduced, which will shorten the service life of the PV modules and ultimately increase the overall cost of PV power generation. The mismatch of PV modules stems from the uneven aging of the modules, PSC (partial shading condition), dirt, tracking system failure and so on, among which PSC is one of the main reasons. In addition, the temperature of the PV modules in the shadow will be increased and produce hot spots, which in turn may damage the PV panels. PV reconstruction technology has certain advantages in solving the PSC problem. However, the PV reconstruction algorithms developed so far have some limitations. Therefore, this paper uses the genetic algorithm to design an optimal reconstruction method with fast convergence speed, strong global search ability and higher stability to improve the power generation efficiency of PV array.