A novel complex linear state estimator for smart power distribution systems: methodology and implementation

Abstract

The electric power distribution systems become increasingly complex due to the high penetration of renewable energy sources, which gradually lead to more challenges or even risks to the grid operation. The need to enhance monitoring and control of the power distribution systems is in great demand. Phasor measurement units (PMUs) have been widely deployed in transmission networks to provide better situational awareness of the system. The same philosophy can be applied to power distribution systems by using the distribution level PMUs (D-PMUs). This paper proposes a novel complex linear state estimator considering parameter noise (CLSE-PN) using D-PMU data for power distribution systems. An implementation of the system architecture is also proposed to accommodate the CLSE-PN algorithm. Case studies demonstrate the effectiveness of the algorithm and prove that CLSE-PN provides more accurate results than the CLSE which does not consider parameter noise.