基于设备故障假设和分层流模型的电网智能报警方法研究

电网非正常运行情况下在短时间内会产生大量的报警信息,快速、准确、全面地对这些信息进行处理对调度员辅助决策具有重要意义。设备故障是引起电网扰动或故障的根本原因,基于此,提出一种新的智能报警方法。首先对设备进行状态评估,通过计算历史运行风险、评价健康状态,获取合理排序的假设故障设备集合。然后,建立电网的MFM模型,用该模型进行假设验证,通过比较相似度得到判断结果。最后通过IEEE标准9节点系统的仿真模拟,初步验证了该方法的准确性和时效性,为工程中的实际应用提供了良好借鉴。

An intelligent alarm method based on equipment fault hypothesis and MFM

When power system operates under abnormal conditions, a large number of alarms will be received by EMS. A fast, correct and comprehensive alarm-processing system is of great importance to help the operators make necessary decisions. Equipment fault is the essential course of power system disturbance and fault. Based on this, this paper brings up a new smart alarm method. First, equipment status evaluation is done online. Thus, fault hypothesis set is obtained by calculating equipment history operation risk and judging health status. Then, all the hypothesis is checked by multi-level flow model (MFM) which has been built before. The final answer comes out after comparing similarities between the hypothesis and the fact. Simulation results of the standard IEEE 9-bus system shows that the proposed method is doing well in both accuracy and speed and has bright future prospect in the alarm-processing field.