摘要
在电网运行过程中,如果调度网络受到攻击,容易出现安全漏洞,导致电网调度安全性降低,为此,提出基于Cyber-net与无监督学习的电网调度网络安全态势感知方法。构建电网调度网络隔离性安全检测模型,引入综合风险指标作为电网的三层评估指标,建立电网调度的可靠性指标计算体系;通过引入期望负荷削减参数,实现电网调度安全性频率特征监测;基于负荷削减平均持续风险指标评估,设置电网调度的安全允许条件;结合风险评估和负荷参数检测,采用Cyber-net构建电网控制模型;采用无监督学习的方法,通过接入和分散式调度,实现电网的安全态势感知。测试表明,该方法进行电网调度网络安全态势感知的准确性较高,能够提高并网控制的安全性。
In the power network operation,when the dispatching network is attacked,it is prone to have security holes and reduce the security of power grid dispatching.Therefore,a security situation awareness method based on Cyber-net and unsupervised learning is proposed.The isolation security detection model of power grid dispatching network is constructed,the comprehensive risk index is introduced as the three-tier evaluation index of power grid,and the reliability index calculation system of power grid dispatching is established.By introducing the expected load reduction parameter,the frequency characteristic monitoring of power grid dispatching security is realized.Based on the assessment of the average continuous risk index of load reduction,the safety allowable conditions for power grid dispatching are set.Combined with risk assessment and load parameter detection,Cyber-net is used to build the power grid control model.The unsupervised learning method is adopted to realize the security situation awareness of power grid through access and decentralized scheduling.The test shows that the method has high accuracy of network security situation awareness and can improve the security of grid connection control.
作者
张伟
纪巍
ZHANG Wei;JI Wei(State Grid East Inner Mongolia Electric Power Co.,Ltd.,Huhhot 010020,China)
出处
《微型电脑应用》
2023年第10期197-200,共4页
Microcomputer Applications
