基于因子分析与神经网络的输电网安全评价

根据影响输电网安全的多种因素,建立了由电网、调度运行及运行方式、继电保护、通信及调度自动化和电气一次设备等因素构成的评价指标体系。运用因子分析法对指标体系进行了分析和约简,通过神经网络的非线性映射和自学习能力构建了输电网的神经网络安全评价模型。实例验证结果表明,采用因子分析和神经网络结合的方法对输电网的安全状况进行综合评价,减少了评价指标的数量,降低了传统评价方法的主观性,提高了评价结果的客观性和科学性。

输电网安全运行风险分析及解决方案

输电网安全风险防控措施的落实,将直接影响电能的连续安全稳定输送。分析了输电网线路的主要安全风险,并提出对应的防控解决方案,为相关企业输电网安全运行风险防控提供参考。

基于滑坡灾害输电网的预警模型

伴随电力设施的大量建设,滑坡灾害引起的输电网损坏亦愈加频繁和严重。为正确、高效、快速地处置因滑坡灾害引起的输电网事故,针对滑坡灾害,首先从输电网的拓扑网络结构特征及所致事故预估影响进行分析,构建了滑坡灾害下输电网的预警指标体系,并通过模糊层次分析法-熵权法的组合赋权法得到预警指标权重;然后,基于预警相关理论和电力行业标准,制定了滑坡灾害下输电网预警等级分级标准,并据此标准划分预警指标各等级警限阈值。最后,再运用可拓理论中基于参变量物元的动态评价模型,建立输电网预警模型,并对重庆某地区进行预警等级计算。结果表明,该地区预警等级为三级,处于相对安全状态。

On modeling of electrical cyber-physical systems considering cyber security

This paper establishes a new framework for modeling electrical cyber-physical systems(ECPSs),integrating both power grids and communication networks. To model the communication network associated with a power transmission grid, we use a mesh network that considers the features of power transmission grids such as high-voltage levels, long-transmission distances, and equal importance of each node. Moreover, bidirectional links including data uploading channels and command downloading channels are assumed to connect every node in the communication network and a corresponding physical node in the transmission grid. Based on this model,the fragility of an ECPS is analyzed under various cyber attacks including denial-of-service(Do S) attacks, replay attacks, and false data injection attacks. Control strategies such as load shedding and relay protection are also verified using this model against these attacks.