Semantic Scholar Open Access 2019 510 sitasi

Power System Dynamic State Estimation: Motivations, Definitions, Methodologies, and Future Work

Junbo Zhao A. Gómez-Expósito Marcos Netto L. Mili A. Abur +7 lainnya

Lihat Sumber DOI

Abstrak

This paper summarizes the technical activities of the Task Force on Power System Dynamic State and Parameter Estimation. This Task Force was established by the IEEE Working Group on State Estimation Algorithms to investigate the added benefits of dynamic state and parameter estimation for the enhancement of the reliability, security, and resilience of electric power systems. The motivations and engineering values of dynamic state estimation (DSE) are discussed in detail. Then, a set of potential applications that will rely on DSE is presented and discussed. Furthermore, a unified framework is proposed to clarify the important concepts related to DSE, forecasting-aided state estimation, tracking state estimation, and static state estimation. An overview of the current progress in DSE and dynamic parameter estimation is provided. The paper also provides future research needs and directions for the power engineering community.

Topik & Kata Kunci

Computer Science

Penulis (12)

Junbo Zhao

A. Gómez-Expósito

Marcos Netto

L. Mili

A. Abur

V. Terzija

I. Kamwa

B. Pal

A. Singh

Junjian Qi

Zhenyu Huang

A. Meliopoulos

Format Sitasi

APA MLA BibTeX

Zhao, J., Gómez-Expósito, A., Netto, M., Mili, L., Abur, A., Terzija, V. et al. (2019). Power System Dynamic State Estimation: Motivations, Definitions, Methodologies, and Future Work. https://doi.org/10.1109/TPWRS.2019.2894769

Akses Cepat

Lihat di Sumber doi.org/10.1109/TPWRS.2019.2894769

Informasi Jurnal

Tahun Terbit: 2019
Bahasa: en
Total Sitasi: 510×
Sumber Database: Semantic Scholar
DOI: 10.1109/TPWRS.2019.2894769
Akses: Open Access ✓