A multi-agent-based power system hybrid dynamic state estimator

Author

Sharma, Ankush ; Srivastava, Suresh Chandra ; Chakrabarti, Saikat

Author_Institution

Indian Inst. of Technol. Kanpur, Kanpur, India

Volume

30

Issue

3

fYear

2015

fDate

May-June 2015

Firstpage

52

Lastpage

59

Abstract

This article proposes a multi-agent-based power system hybrid dynamic state estimator (PSHDSE) that uses field measurements from remote terminal units (RTUs) as well as phasor measurement units (PMUs). The standard cubature Kalman filter (CKF) process is modified to make it suitable for PSHDSE execution, and software agents are utilized to receive data and run PSHDSE for the RTU and PMU measurements separately. PSHDSE is solved by utilizing the CKF, the extended Kalman filter (EKF), and the unscented Kalman filter (UKF). The relative performances of the EKF, UKF, and CKF in executing PSHDSE are established through simulations on the IEEE 30 bus and practical 246-bus Indian test systems.

Keywords

Kalman filters; multi-agent systems; nonlinear filters; phasor measurement; power engineering computing; power system state estimation; CKF process; EKF; PMU; PSHDSE; RTU; UKF; cubature Kalman filter; extended Kalman filter; field measurements; multiagent-based power system hybrid dynamic state estimator; phasor measurement units; remote terminal units; software agents; unscented Kalman filter; Kalman filters; Mathematical model; Multi-agent systems; Phasor measurement units; Power measurement; Power system dynamics; State estimation; Time measurement; RTU and PMU measurements; artificial intelligence; cubature Kalman filter; dynamic state estimation; intelligent systems; multi-agent approach; smart grid;

fLanguage

English

Journal_Title

Intelligent Systems, IEEE

Publisher

ieee

ISSN

1541-1672

Type

jour

DOI

10.1109/MIS.2015.52

Filename

7111893