Multi Area State Estimation for Smart Grid Application Utilizing All SCADA and PMU Measurements

This paper proposes a new Multi Area State Estimation (MASE) approach which utilizes all the field measurements received from the Remote Terminal Units (RTUs) of the Supervisory Control and Data Acquisition (SCADA) system and the Phasor Measurement Units (PMUs) of the Wide Area Monitoring System (WAMS). Under this approach, a power system is divided into overlapping sub-areas. Each sub-area runs its own State Estimation (SE) independently and in parallel in such a way that the MASE of the complete power system completes before the arrival of the next measurement set. During the time gap between two successive RTUs measurement sets, the PMUs measurements along with the SE results of the sub-areas, time adjusted using state forecasting technique, are utilized to run the linear SE to provide fast update of the state estimates. The effectiveness of the proposed method has been demonstrated on IEEE30 bus system and 246-Bus reduced Northern Regional Power Grid (NRPG) Indian system.