NDLI: Orthogonal method for solving maximum correntropy-based power system state estimation

Content Provider	IET Digital Library
Author	Freitas, Victor Costa, Antonio Simões Miranda, Vladimiro
Abstract	This study introduces a robust orthogonal implementation for a new class of information theory-based state estimation algorithms that rely on the maximum correntropy criterion (MCC). They are attractive due to their capability to suppress bad data. In practice, applying the MCC concept amounts to solving a matrix equation similar to the weighted least-squares normal equation, with difference that measurement weights change as a function of iteratively adjusted observation window widths. Since widely distinct measurement weights are a source of numerical ill-conditioning, the proposed orthogonal implementation is beneficial to impart numerical robustness to the MCC solution. Furthermore, the row-processing nature of the proposed solver greatly facilitates bad data removal as soon as outliers are identified by the MCC algorithm. Another desirable feature of the orthogonal MCC estimator is that it avoids the need of post-processing stages for bad data treatment. The performance of the proposed scheme is assessed through tests conducted on the IEEE 14-bus, 30-bus, 57-bus and 118-bus test systems. Simulation results indicate that the MCC orthogonal implementation exhibits superior bad data suppression capability as compared with conventional methods. It is also advantageous in terms of computational effort, particularly as the number of simultaneous bad data grows.
Starting Page	1930
Ending Page	1941
Page Count	12
ISSN	17518687
Volume Number	14
e-ISSN	17518695
Issue Number	Issue 10, May (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/14/10
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2019.1179
Journal	IET Generation, Transmission & Distribution
Publisher Date	2020-02-12
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	118-bus Test Systems Bad Data Removal Bad Data Suppression Capability Bad Data Treatment Data Handling Data Handling Technique IEEE 14-bus Information Theory-based State Estimation Algorithm Interpolation And Function Approximation Iterative Method Iteratively Adjusted Observation Window Widths Least Squares Approximation Least-squares Normal Equation Linear Algebra Matrix Algebra Matrix Equation Maximum Correntropy Criterion Maximum Correntropy-based Power System State Estimation MCC Algorithm MCC Orthogonal Implementation Measurement Weight Measurement Weight Change Numerical Analysis Numerical Ill-conditioning Numerical Robustness Orthogonal MCC Estimator Post-processing Stages Power Engineering Computing Power System Economics Power System Managemen Power System Operation Power System State Estimation Robust Orthogonal Implementation Row-processing Nature Statistics
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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