An Improved Genetic Algorithm-Based Approach to Secure Monitoring of Big Data for Dynamic Transmission in Smart Grids

In order to improve the safety of the power grid, a smart grid dynamic transmission big data security monitoring method based on improved genetic algorithm is proposed. Design a multi-level genetic cross monitoring calculation matrix, establish an improved genetic calculation power grid dynamic transmission big data security monitoring model, and use monitoring response and continuous optimization to achieve security monitoring. The test results indicate that the proposed method produces relatively fewer false positives and false alarm rates, and can effectively achieve safety monitoring of the power grid.