Dynamic State Estimation for Synchronous Generator with Communication Constraints: An Improved Regularized Particle Filter Approach-Reference-Cited by-同舟云学术

Dynamic State Estimation for Synchronous Generator with Communication Constraints: An Improved Regularized Particle Filter Approach

Author:

Bai Xingzhen¹^ORCID,Qin Feiyu¹,Ge Leijiao²^ORCID,Zeng Lin³^ORCID,Zheng Xinlei⁴^ORCID

Affiliation:

1. College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China

2. Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin, China

3. School of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA

4. School of Electrical Engineering, Southeast University, Nanjing, China

Funder

National Natural Science Foundation of China

Open Project of Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology

Ministry of Education

Northeast Electric Power University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Control and Optimization,Hardware and Architecture,Renewable Energy, Sustainability and the Environment,Software

Link

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4. Dynamic State Estimation of Power Systems Based on Extended Kalman Particle Filter;2023 3rd International Conference on Intelligent Power and Systems (ICIPS);2023-10-20