Robust Power System Frequency Estimation Based on a Sliding Window Approach

A novel framework for online estimation of the fundamental frequency of power system in both the single-phase and three-phase cases is proposed. This is achieved based on the consideration of the relationship among the samples within every four consecutive sliding windows and the use of the Wiener f...

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Main Authors: Dun Pei, Yili Xia
Format: Article
Language:English
Published: Hindawi Limited 2019-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2019/3254258
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spelling doaj-716d57d7d8ee41158441973ec2d93e342020-11-24T22:00:40ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472019-01-01201910.1155/2019/32542583254258Robust Power System Frequency Estimation Based on a Sliding Window ApproachDun Pei0Yili Xia1School of Information Science and Technology, University of Science and Technology of China, Hefei 230022, ChinaSchool of Information Science and Engineering, Southeast University, 2 Sipailou, Nanjing 210096, ChinaA novel framework for online estimation of the fundamental frequency of power system in both the single-phase and three-phase cases is proposed. This is achieved based on the consideration of the relationship among the samples within every four consecutive sliding windows and the use of the Wiener filtering approach and an adaptive filter trained by the least mean square (LMS) algorithm. Compared with the original work proposed in Vizireanu, 2011, which employs the scalar samples, the proposed vector-valued methods alleviate the drawbacks, such as sensitivity to initial phase value, noise, harmonics, DC offset, and system unbalance. Simulations on both benchmark synthetic cases and for real-world scenarios support the analysis.http://dx.doi.org/10.1155/2019/3254258
collection DOAJ
language English
format Article
sources DOAJ
author Dun Pei
Yili Xia
spellingShingle Dun Pei
Yili Xia
Robust Power System Frequency Estimation Based on a Sliding Window Approach
Mathematical Problems in Engineering
author_facet Dun Pei
Yili Xia
author_sort Dun Pei
title Robust Power System Frequency Estimation Based on a Sliding Window Approach
title_short Robust Power System Frequency Estimation Based on a Sliding Window Approach
title_full Robust Power System Frequency Estimation Based on a Sliding Window Approach
title_fullStr Robust Power System Frequency Estimation Based on a Sliding Window Approach
title_full_unstemmed Robust Power System Frequency Estimation Based on a Sliding Window Approach
title_sort robust power system frequency estimation based on a sliding window approach
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2019-01-01
description A novel framework for online estimation of the fundamental frequency of power system in both the single-phase and three-phase cases is proposed. This is achieved based on the consideration of the relationship among the samples within every four consecutive sliding windows and the use of the Wiener filtering approach and an adaptive filter trained by the least mean square (LMS) algorithm. Compared with the original work proposed in Vizireanu, 2011, which employs the scalar samples, the proposed vector-valued methods alleviate the drawbacks, such as sensitivity to initial phase value, noise, harmonics, DC offset, and system unbalance. Simulations on both benchmark synthetic cases and for real-world scenarios support the analysis.
url http://dx.doi.org/10.1155/2019/3254258
work_keys_str_mv AT dunpei robustpowersystemfrequencyestimationbasedonaslidingwindowapproach
AT yilixia robustpowersystemfrequencyestimationbasedonaslidingwindowapproach
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