Research On Stand-alone Photovoltaic Intelligent Energy Management System Based On Band Gap

In stand-alone photovoltaic power generation system, system is determined good or bad by the degree of efficiency and cost, which promotion of the photovoltaic industry. Through studying for materials of solar cells, maximum power point tracking of photovoltaic array and prediction of photovoltaic power. In this paper, the target is to improve the system efficiency and reduce the system cost, and the simulation tool is MATLAB.Modeling of solar cells is the premise of sdudying photovoltaic system. The traditional methods must be provide many parameters such as open circuit voltage, short circuit current, maximum power point voltage, maximum power point current and so on. In this paper, a new solar general simulation model is offered by studying materials of solar cells, which can automatically adjust the parameters and simulate different solar cells in the given accuracy, not need frequently set the parameters. Photovoltaic modules have been composed with solar cells by way of series-parallel, and photovoltaic arrays have been composed with photovoltaic modules by the same way. A hybrid photovoltaic array which is composed with different materials is offered in this paper, which can reduce the cost of photovoltaic arrays in the case of generating capacity to ensure.Conventional maximum power point tracking algorithm is used to track the output power of the overall photovoltaic array. While part of photovoltaic array appear to cover, the absorbed light energy of different photovoltaic modules are inconsistent, hybrid photovoltaic array is used, the maximum power point by using the conventional algorithms is not true. In this paper, an independent tracking algorithm is used, that is, each of photovoltaic module is tracked independently, so it can make the photovoltaic array output maximum power and improve system efficiency.Usually, stand-alone photovoltaic system is equipped with batteries to store and regulate energy. The traditional control strategy of charging and discharging of batteries need to detect many parameters, such as bus current, load current, load voltage and so on. Then control strategies need to adjust by the parameters. This is a lag control. And the capacity of the batteries needs large enough to stabilize the power of load. In this paper, the photovoltaic generating capacity is forecasted, and then the result is used in the control of the battery. The problem of the battery control delays can be solved by this method, and the efficiency can be improved, so, the stability of system can be increased.