Abstract
The new energy system constructed by energy storage and photovoltaic power generation systems can effectively solve the problem of transformer overload operation in some enterprises. It can reduce electricity costs and achieve low-carbon emissions reduction. In this paper, we establish a nonlinear mathematical programming model to determine the optimal configuration of photovoltaic power generation and energy storage systems. The model fully considers the following factors: initial investment cost of photovoltaic and energy storage systems, system maintenance cost, government subsidies for photovoltaic power generation, charging rules for grid sales electricity prices, photovoltaic grid connected electricity prices, photovoltaic production forecasting, and electricity load forecasting of related industrial enterprises. We determine the optimal installed capacity for photovoltaic power generation, energy storage capacity, and the optimal charging and discharging strategy for the energy storage system by MATLAB. This optimization strategy can ensure that the electricity consumption of enterprises does not exceed the rated capacity, and effectively reduce the basic and electricity prices of enterprises, achieving cost reduction and efficiency increase. Finally, A typical enterprise is selected for analysis. The results indicate that the proposed model can not only effectively reduce the peak electricity load of enterprises, but also significantly reduce the investment return period of photovoltaic energy storage.
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