A Multi-Agent-Based Power System Hybrid Dynamic State Estimator
作者： Ankush Sharma , Suresh Chandra Srivastava , Saikat Chakrabarti
DOI: 10.1109/MIS.2015.52
关键词: Phasor 、 Electric power system 、 Intelligent decision support system 、 Invariant extended Kalman filter 、 Smart grid 、 Computer science 、 Kalman filter 、 Units of measurement 、 Control theory 、 Extended Kalman filter
摘要: 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 phasor measurement (PMUs). The standard cubature Kalman filter (CKF) process is modified to make it suitable for PSHDSE execution, and software agents are utilized receive data run the RTU PMU separately. solved by utilizing CKF, extended (EKF), unscented (UKF). relative performances of EKF, UKF, CKF in executing established through simulations on IEEE 30 bus practical 246-bus Indian test systems.
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