Abstract
After decades of development, electricity has become an important driving force for national economic construction, and countries’ dependence on electricity is also increasing. In order to solve the problems of environmental pollution and nonrenewable resources in the process of traditional energy power generation and further improve the utilization efficiency of electricity, countries have vigorously developed new energy grids. As a rapidly advancing developing country, my country has a huge demand for electricity. In addition, in recent years, my country’s new energy power generation technology has advanced by leaps and bounds, and it has become an extremely important source of electricity, which is necessary. The purpose of this study is to improve the power grid dispatching and facilitate the people through the understanding of new energy sources with high penetration rate. This paper mainly uses the experimental method, the comparison method, and the investigation method and uses the big data technology to analyze the use of new energy and the optimal dispatch of the new energy grid. The experimental data show that the load changes in each time period are within 1. Through the continuous testing and optimization of the objective function, the dispatching of the high-penetration new energy grid has initially achieved scientific overall planning. The development of this research will help to realize the optimal configuration between traditional energy power generation and new energy power generation and realize the sustainable development of new energy power generation while reducing the loss of grid connection.
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