The monitoring and analysis of protective devices in renewable energy resource grid by computer simulation technology

Nowadays, computer simulation technology is very important to promote the economic development of renewable energy, but simulation technology cannot effectively identify grid protection devices, so it needs to be identified with the help of optimization algorithms. This study focuses on the inspection and evaluation of protective equipment in renewable energy grids, and constructs a micro-power unit control algorithm to identify the retention status in renewable energy grids. First, the static and dynamic conditions will be distinguished, and the differences between the preservation devices will be explored by computer data identification through micropowerThe relationship structure between computer simulation technology and renewable energy is established, and the reliability of the relationship structure is calculated, so as to provide a reference for the identification and application of protective devices. The results show that the micropower algorithm can provide effective data for computer simulation technology, better identify protective devices, improve the degree of data fusion by about 10~20%, increase the recognition rate of abnormal data by about 10%, and reduce the amount of computer simulation data. Therefore, the integration of micropower algorithm and computer simulation technology can more accurately simulate close to the real environment, which can not only improve the accuracy of device detection, but also evaluate and optimize the detection effect, and provide key practical support for renewable energy grid protection.