基于态势感知的智能电网安全调度预警架构设计

Design of Security Dispatching of Early Warning Architecture for Intelligent Power Grid Based on Situation Awareness

智能电网安全调度过程不能准确进行故障识别,导致调度监护预警精度较低。为此,对基于大数据态势感知的智能电网安全调度监护预警架构进行了研究。通过智能电网数据库采集监护预警数据,利用大数据态势感知技术对监护预警数据进行处理;将实时性关联矩阵的原理应用到智能电网监控预警算法设计中,获取智能电网安全调度过程中任意故障对应的动作组合;在此基础上,基于多层用户接人及管理相关信息,构建监护预警功能结构模型,完成智能电网安全调度的监护预警。试验结果表明,与传统的电网安全调度监护预警架构相比,所设计的基于大数据态势感知的监护预警架构具有较小的电压、电流监护预警误差,提高了智能电网安全调度监护预警精度,为我国电网安全稳定奠定了基础。

In the process of smart grid security dispaltching,the failure identification is not accurate,which leads to the low precision of dispatching monitoring and early warning.Therefore,the smart grid security dispatching monitoring and early waming archiltecture based on big data situation awareness is studied.The monitoring and early warning data are collected through smart grid database,and processed by big data situation awareness technology.The principle of real-time correlation matrix is applied to the monitoring and early warning algorithm design of smart grid to obtain the action combination coresponding to any fault in the process of smart grid security dispatching.Based on muli-layer user access and management related information.The monitoring and early warning function structure model is built,and the monitoring and early warming of smart grid security dispatching is completed.The experimental results show that compared wih the traditional monitoring and early warning arehitecture of power grid security dispatching,the monitoring and early warning archiltecture based on big data situation awareness give less monitorimg and early warning errors of voltage and current,which improves the accuracy of intelligent power grid security dispatching and early warning,and lays a foundation for the security and stability of power grid in China.