基于局部离群点检测算法的电力通信网络拥塞安全控制方法

针对电网运行数据堵塞程度较高，传输安全性较差的问题，提出了基于局部离群点检测算法的电力通信网络拥塞安全控制方法。通过电力通信网络的通道模型与路由监测协定，凭借波特间隔均衡法优化节点布局，结合自适应偏差补充调整反馈，均衡通道。针对储存空间、带宽容量、CPU处置功能等主要拥塞因素，分析数据密度估计值，并在带宽函数中加入邻域平均距离得到局部密度，推导出数据的局部离群点，通过调节离群点大小断定和控制电力通信网络。实验证明，所提方法能够精准检测出电力通信网络是否拥塞，及时调节通信数据，降低堵塞程度，保证信息可以安全传输。

Congestion Security Control Method of Power Communication Network Based on Local Outlier Detection Algorithm

Aiming at the problems of high congestion and poor transmission security of power grid operation data, a congestion security control method of power communication network based on local outlier detection algorithm is proposed. Through the channel model and route monitoring protocol of power communication network, the node layout is optimized by baud interval equalization method, and the channel is balanced by combining adaptive deviation supplementary adjustment feedback. Aiming at the main congestion factors such as storage space, bandwidth capacity and CPU processing function, this paper analyzes the estimated value of data density, adds the average distance of neighborhood to the bandwidth function to obtain the local density, deduces the local outliers of data, and determines and controls the power communication network by adjusting the size of outliers. Experiments show that the proposed method can accurately detect whether the power communication network is congested, timely adjust the communication data, reduce the degree of congestion, and ensure the safe transmission of information.