Method for distribution of phasor-aided state estimation to monitor operating state of large scale power system and method for processing defect data in mixed distributed state estimation by using same

A bad data processing method in hybrid distributed state estimation (H-DSE) algorithm for monitoring an operating state of a large-scale power system, the method comprising:

• mixing estimation results of supervisory control and data acquisition (SCADA)-based and phasor measurement unit (PMU)-based distributed state estimation (DSE) algorithms and performing a phasor-aided normalized residual test and a general normalized residual test;
• and
• determining whether there is a bad data (BD) in SCADA and PMU measurements for each sub-area,
• wherein each sub-area is defined by a network topology related to the SCADA measurement and the PMU measurement and position information of measurement equipment according to the network topology.

A device for performing a bad data processing method in hybrid distributed state estimation (H-DSE) algorithm for monitoring an operating state of a large-scale power system, the device comprising:

• a memory configured to store at least one command;
• and
• a processor connected to the memory and configured to execute the at least one command,
• wherein, when the processor operates, the at least one command causes the processor to perform operations of:
• mixing estimation results of supervisory control and data acquisition (SCADA)-based and phasor measurement unit (PMU)-based hybrid distributed state estimation (DSE) algorithms and performing a phasor-aided normalized residual test and a general normalized residual test;
• and
• determining whether there is a bad data (BD) in SCADA measurement for each sub-area and PMU measurement for each sub-area,
• wherein each sub-area is distinguished or defined by a network topology related to the SCADA and the PMU measurements and position information of measurement equipment according to the network topology.