A Distributed Robust System-Wide State Estimation Method for Power Systems Based on Maximum Correntropy
Author:
Affiliation:
1. Department of Instrumental and Electrical Engineering, Xiamen University, Xiamen, China
2. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
3. Department of Engineering, University of Cambridge, U.K.
Funder
National Natural Science Foundation of China
Basic Research Program of Science and Technology of Shenzhen, China
Natural Science Foundation of Fujian Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9424/10288179/10049141.pdf?arnumber=10049141
Reference52 articles.
1. Adaptive State Estimation for Power Systems Measured by PMUs With Unknown and Time-Varying Error Statistics
2. Using Gaussian-Uniform Mixture Models for Robust Time-Interval Measurement
3. Robust State Estimation Against Measurement and Network Parameter Errors
4. A Distributed Maximum-Likelihood-Based State Estimation Approach for Power Systems
5. Implementing nonquadratic objective functions for state estimation and bad data rejection
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