According to the functional and performance requirements of the new energy station monitoring equipment, an operating rule verification model based on data envelopment analysis is proposed, and the online automatic discovery of equipment and safe operation rules for key links are designed. The equipment adopts data envelopment analysis method to read real-time data of new energy station monitoring equipment, optimizes the automatic discovery function of key sections, and tests the operating parameters of wind turbines and wind farms online through remote testers, formulates monitoring rules, and forms data requirements, Use algorithms to acquire and process data, and build models. Realize the discrete processing and rule mining of key links and safety operating procedures to ensure the safe operation of new energy station monitoring equipment. Finally, the experimental results show that the equipment can quickly and automatically generate new energy station monitoring equipment safe operation knowledge and improve new energy Safety of station monitoring equipment.

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In order to solve the problems of long data storage and weak data storage integrity in traditional methods, this paper proposes a secure storage method for energy big data centers based on blockchain technology. First, the big data of energy is statistically analyzed. Then, based on the security threats faced by the energy big data center in the storage process, assumptions were made, and a secure storage model of energy big data was constructed. Finally, combined with the process analysis of blockchain technology and the role of the system, a secure storage solution for the energy big data center is designed to realize the secure storage of the energy big data center. The experimental results show that the data storage efficiency of the design method in this paper is higher, and the data integrity coefficient is higher, indicating that the data storage performance of this method is better.

In recent years, distributed power generation has made great progress, but it is still restricted by factors such as low marketlization, lagging public services, and incomplete management systems. This paper studies the trading mechanism of distributed power participation in the market. First, it studies the participation of aggregated distributed power generation resources in the power market; then based on the model of distributed power generation resources that participating in the market through aggregated agents based on this article, the market mechanism is designed.Finally, a calculation example is adopted and the proposed method is verified.

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