Robust Expectation-Maximization-Based Secondary Voltage Control Scheme Considering Stochastic Measurement Error

In this letter, the expectation-maximization-based secondary voltage control scheme is proposed to achieve the robust secondary voltage control (SVC) in the presence of stochastic measurement error under wide-area measurement system (WAMS). The proposed control scheme is implemented iteratively in t...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on power systems 2023-05, Vol.38 (3), p.2958-2961
Main Authors: Liu, Jian-Hong, Li, Zhe-Hao
Format: Article
Language:English
Subjects:
Electric potential
Error analysis
Expectation-maximization
Generators
guassian mixture model
Maximization
Measurement errors
Optimization
Probability distribution
Robust control
secondary voltage control
Static VAr compensators
Stochastic processes
Voltage
Voltage control
Voltage measurement
wide-area measurement system
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this letter, the expectation-maximization-based secondary voltage control scheme is proposed to achieve the robust secondary voltage control (SVC) in the presence of stochastic measurement error under wide-area measurement system (WAMS). The proposed control scheme is implemented iteratively in the two steps, expectation and maximization steps. Since stochastic measurement error, following arbitrary parametric or nonparametric probability distribution, can be considered in the proposed control scheme, the proposed work can provide a robust and generalized solution for SVC in the presence of stochastic measurement error. Case studies on IEEE 300-bus test system are presented to verify the accuracy of the proposed control scheme.
ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2023.3256129