Computer Aided Analysis and Control of Power System Based on Data Mining Technology
Lin Zhang, Lai Xiangping, Wenzhong Cao, Peng Haoyue · 2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) · 2021
The power system is closely related to people's lives and industrial production. The stable operation of the power system is related to the normal production of the country's industrial field and the normal life of the people. With the advent of the computer age, a large amount of power data has emerged in the power system. How to mine this valuable information has become an urgent problem for the power system. In this regard, the purpose of this article is to study the computer-aided analysis and control of power systems based on data mining technology. Based on an in-depth analysis of the current domestic power system status, this paper sorts out the key technologies for constructing a new power system, and then uses data mining technology and SOA and other advanced IT technologies to design and implement a data mining-based computer-aided system for power systems. It also describes the realization of key service modules, including the system login module, database access module and transformer load query Web service module. Finally, this paper carried out a system test experiment, introduced the test environment and test preparation, and gave the design of test cases. Experimental results show that the power system computer-aided system designed in this paper solves the traditional data mining problem based on single-node serial mining, has massive storage and calculation capabilities, and has an accuracy rate of about 87%, which provides important for the development of power systems.