Event-Based Joint State and Unknown Input Estimation for Energy Networks: Handling Multi-Machine Power Grids-Reference-Cited by-同舟云学术

Event-Based Joint State and Unknown Input Estimation for Energy Networks: Handling Multi-Machine Power Grids

Published:2023-01-01 Issue:1 Volume:10 Page:253-264
ISSN:2327-4697
Container-title:IEEE Transactions on Network Science and Engineering
language:
Short-container-title:IEEE Trans. Netw. Sci. Eng.

Author:

Qu Bogang¹,Wang Zidong²^ORCID,Shen Bo¹^ORCID,Dong Hongli³^ORCID,Liu Hongjian⁴^ORCID

Affiliation:

1. College of Information Science and Technology, Donghua University, Shanghai, China

2. Department of Computer Science, Brunel University London, Uxbridge, Middlesex, U.K.

3. Artificial Intelligence Energy Research Institute, Northeast Petroleum University, Daqing, China

4. Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment, Ministry of Education, Anhui Polytechnic University, Wuhu, China

Funder

National Natural Science Foundation of China

Program of Shanghai Academic/Technology Research Leader of China

Hainan Province Science and Technology Special Fund of China

Natural Science Foundation of Anhui Province of China

AHPU High-End equipment Intelligent Control Innovation Team of China

Alexander von Humboldt Foundation of Germany

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/6488902/10009001/09891772.pdf?arnumber=9891772

Reference48 articles.

1. Dynamic State Estimation in Power System by Applying the Extended Kalman Filter With Unknown Inputs to Phasor Measurements

2. Fusion estimation for a class of multi-rate power systems with randomly occurring SCADA measurement delays

3. Multi-sensor filtering fusion meets censored measurements under a constrained network environment: advances, challenges and prospects

4. A new method for tuning PI controllers with symmetric send-on-delta sampling strategy

5. Local and Wide-Area PMU-Based Decentralized Dynamic State Estimation in Multi-Machine Power Systems

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