Cubature Particle Filtering Approach for State Estimation in Electrical Distribution Systems

Motivated by the increasing need for robust and accurate state estimators, capable of capturing the dynamics of system states and suitable for large-scale distribution networks with a lack of sensors, we introduce a state estimator based on a distributed approach. The proposed estimator technique is...

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Bibliographic Details
Main Authors: Alhalali, Safoan, El-Shatshat, Ramadan
Format: Conference Proceeding
Language:English
Subjects:
distributed generation
distribution system
State estimation
Online Access:Request full text
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Summary:Motivated by the increasing need for robust and accurate state estimators, capable of capturing the dynamics of system states and suitable for large-scale distribution networks with a lack of sensors, we introduce a state estimator based on a distributed approach. The proposed estimator technique is based on a combination of the Particle Filter (PF) and the CKF, which yields a Cubature Particle Filter (CPF). This technique employs a PF with the proposal distribution provided by the CKF. Unlike the other types of filters, the PF is a non-Gaussian algorithm from which a true posterior distribution of the estimated states can be obtained. This paper also provides a comparison study between the above mentioned algorithm and the latest algorithms available in the literature. The proposed algorithm were implemented in MATLAB to verify their theoretical expectations. To validate their robustness and accuracy, the proposed methods were tested and verified using a large range of customer loads with 30% uncertainty on a connected IEEE 123-bus system.
ISSN:1944-9933
DOI:10.1109/PESGM40551.2019.8973455