The Study Of The Maximum Power Tracking Control Of The Photovoltaic Power Generation Systems

Solar energy is the energy whose development pace is in second place inthe modern world. In the process of economic globalization, shortage oftraditional energy and environmental pollution have become the two importantfactors that constraints sustainable development of human society. Solarphotovoltaic generation gradually show out a very broad development prospectsbecause of its non-polluting, no noise, no raw materials, etc. Therefore, theapplication of solar energy has become a hot research of new energy field.The maximum power point tracking (MPPT) control technology in thesolar photovoltaic system is designed to maximize the Energy conversionefficiency of solar photovoltaic generation system. At present, the commonmethods of maximum power point tracking are constant voltage method,perturbation and observation (P-O) method, incremental conductance method.An good maximum power point tracking control method can not only improvethe utilization efficiency of photovoltaic power generation system, but alsoreduce the cost of it.In this article, the authors firstly analyze the output characteristics of solarcell and DC-DC converter’s working principle, and point out the stronglynonlinear of the maximum power point tracking process; then use neuralnetwork and sliding mode control to achieve maximum power tracking controlof PV system, and prove the correctness of the method by the simulation resultsin MATLAB software; finally, comparing with the output of the traditionalmethods——P-O method, to show the superiority of new methods.