基于同步相量测量装置的配电网安全态势感知方法

Security Situation Awareness Approach for Distribution Network Based on Synchronous Phasor Measurement Unit

配电网安全态势感知是全面动态分析配电侧网络安全运行状态及潜在隐患的关键技术。针对配电网安全态势感知的快速性和准确性需求,该文提出一种基于同步相量测量装置的配电网安全态势感知方法。首先,构建在同步相量测量装置优化布点前提下的配电网网络拓扑分层模型,快速捕获系统安全态势要素;其次,提出融合信息熵值的支持向量数据描述算法,实现配电网安全态势要素中异常信息的辨识和理解;然后,采用长短期记忆网络对正常运行和故障扰动下的配电网运行趋势进行预测,并提出零序电压、电压越限裕度、支路过载严重度和电压相位变化量等安全态势预警指标,感知系统实时态和未来态的安全风险。最后采用IEEE 33和PG&E69配电网验证所提方法的有效性。结果表明,该方法提高了配电网安全态势要素获取速度和精度,缩短了安全态势要素异常辨识时间,实现对配电网各节点的安全态势感知。

Distribution network security situation awareness is the key technology to comprehensively and dynamically analyze the security operation status and potential hidden dangers in the distribution network. For the rapidity and accuracy of security situational awareness in distribution networks, a novel method for security situational awareness in the distribution network was put forward based on synchronous phasor measurement units. Firstly, a hierarchical topology model of the distribution network was built to quickly capture system security situation elements under the premise of optimized synchronous phasor measurement units. Secondly, support vector data description algorithm with information entropy value was proposed to identify and understand the abnormal information in the security situation elements of distribution network. Thirdly, the long short term memory theory was used to predict the operation trend of the distribution network under normal and fault disturbance conditions, and then the zero-sequence voltage, voltage over-limit margin, branch overload severity and voltage phase change severity warning indicators were proposed to sense the real-time state and futuristic security risks. Finally, the validity of the proposed method was verified by typical IEEE33 and PG&E69 power distribution system. Simulation results show that the method improves the speed and accuracy of obtaining security situational elements of the distribution network, shortens the time for identifying abnormality of the security situational elements, and realizes the security situational awareness of each node in the distribution network.