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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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2019/3254258 |
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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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1725843359374770176 |