A DISTRIBUTED STATE ESTIMATOR FOR ELECTRIC-POWER SYSTEMS

Abstract

In this paper, we develop a theoretically robust and computationally efficient distributed state estimator, which is to solve the WLS problem by using distributed computation, for the power system. This distributed state estimator aims at its utilization in the decentralized control, and it is executing in a data communication network which is assumed to be topologically the same and physically in parallel with the power network. Along with this state estimator, we can obtain several attractive satellite functions which include (1) reduction of the time-skew problem, (2) being free from the power network topological error, (3) easy identification of the unobservable states and (4) bad data detection and identification. We have analyzed the computation complexity of this distributed state estimator. Moreover, we have also simulated this state estimator on several cases of the IEEE 30-bus system. The numerical accuracy of the simulation results are satisfactory, and the estimated computation time including the communication delay demonstrates the excellent computational performance of the distributed state estimator.