Abstract: The disclosure provides a method for fast reconfiguration of power supply grid in tens of milliseconds after power grid failure. The master station of fast reconfiguration of power grid concentrates the network status information from the client stations at transformer substations or power plants, and compares it with the built-in control strategy table which deals with possible faults. When an expected power gird disconnection fault is detected, the pre-start switch-on instruction is sent to the client stations with multiple breakers which can reconnect the grid. When the fault is cleared, the client stations shall identify the fault clearing time according to the local information, and send the instruction of synchronous switch-on to the corresponding local breakers which can reconnect the separated grids.

Abstract: A state-matrix-independent dynamic process estimation method in real-time for weakly observable measurement nodes without Phasor Measurement Unit(PMU) is only dependent on real-time measurement dynamic data of measurement nodes with PMU and measurement data of Supervisory Control And Data Acquisition (SCADA) system in electric power system or state estimation data. According to the SCADA measurement data or state estimation data at some continuous moments, the method utilizes recursive least squares solution to find a linear combination relationship between variation of measurement parameter to be estimated of nodes without PMU and variation of corresponding measurement parameter of nodes with PMU. Using the linear combination of relationship, the dynamic process of measurement nodes without PMU is estimated in real-time. The method provides high estimation precision and meets error requirements of engineering application.

Abstract: A state-matrix-independent dynamic process estimation method in real-time for weakly observable measurement nodes without PMU is only dependent on real-time measurement dynamic data of measurement nodes with Phasor Mesurement Unit (PMU) and measurement data of Supervisory Control And Data Acquisition (SCADA) system in electric power system or state estimation data. According to the SCADA measurement data or state estimation data at some continuous moments, the method utilizes recursive least squares solution to find a linear combination relationship between variation of measurement parameter to be estimated of nodes without PMU and variation of corresponding measurement parameter of nodes with PMU. Using the linear combination of relationship, the dynamic process of measurement nodes without PMU is estimated in real-time. The method provides high estimation precision and meets error requirements of engineering application.