Shunt active power filtering with reference current generation based on dual second order generalized integrator and LMS algorithm

For reducing the carbon emissions from utility sector, it is important to improve the efficiency of network and electrical loads. Current harmonics are responsible for the degradation of the system as well as load efficiency. The propagation of current harmonics into the grid can be prevented with s...

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Main Author: Amit V. Sant
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Energy Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484722015438
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author Amit V. Sant
author_facet Amit V. Sant
author_sort Amit V. Sant
collection DOAJ
description For reducing the carbon emissions from utility sector, it is important to improve the efficiency of network and electrical loads. Current harmonics are responsible for the degradation of the system as well as load efficiency. The propagation of current harmonics into the grid can be prevented with shunt active power filters (SAPFs). Reference current generation (RCG) is critical for SAPF operation. This paper presents the control of SAPF with RCG based on least mean square (LMS) and dual second order generalized integrator (SOGI). The two SOGIs separately process grid voltage and load current to determine the respective fundamental in-phase component (FPC) and fundamental quadrature component (FQC). FPC and FQC of grid voltage are used to determine the phase angle of fundamental grid voltage. With LMS algorithm the distorted current can be decomposed into fundamental active (FA), fundamental reactive (FR) and harmonic components. However, the dynamic response of LMS based estimation is poor when the same learning rate is used for all components. FQC of load current, estimated with SOGI, can be processed by LMS algorithm to separate FA and FR components. RCG can be implemented with the computed phase angle and FA component. In LMS algorithm, as only two components are to be separated, two different learning rates can be easily specified. This results in faster dynamic response for LMS algorithm and has consequent positive impact on RCG and SAPF operation. Also, the computational complexity is considerably reduced. The performance of SAPF with the proposed extraction algorithm is analyzed for different operating conditions and comparative analysis is carried out.
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spelling doaj.art-9f0fc1a03fba4028b2643cf8018e3b7d2023-02-22T04:31:21ZengElsevierEnergy Reports2352-48472022-11-018886893Shunt active power filtering with reference current generation based on dual second order generalized integrator and LMS algorithmAmit V. Sant0Department of Electrical Engineering, School of Technology, Pandit Deendayal Energy University, Gandhinagar, IndiaFor reducing the carbon emissions from utility sector, it is important to improve the efficiency of network and electrical loads. Current harmonics are responsible for the degradation of the system as well as load efficiency. The propagation of current harmonics into the grid can be prevented with shunt active power filters (SAPFs). Reference current generation (RCG) is critical for SAPF operation. This paper presents the control of SAPF with RCG based on least mean square (LMS) and dual second order generalized integrator (SOGI). The two SOGIs separately process grid voltage and load current to determine the respective fundamental in-phase component (FPC) and fundamental quadrature component (FQC). FPC and FQC of grid voltage are used to determine the phase angle of fundamental grid voltage. With LMS algorithm the distorted current can be decomposed into fundamental active (FA), fundamental reactive (FR) and harmonic components. However, the dynamic response of LMS based estimation is poor when the same learning rate is used for all components. FQC of load current, estimated with SOGI, can be processed by LMS algorithm to separate FA and FR components. RCG can be implemented with the computed phase angle and FA component. In LMS algorithm, as only two components are to be separated, two different learning rates can be easily specified. This results in faster dynamic response for LMS algorithm and has consequent positive impact on RCG and SAPF operation. Also, the computational complexity is considerably reduced. The performance of SAPF with the proposed extraction algorithm is analyzed for different operating conditions and comparative analysis is carried out.http://www.sciencedirect.com/science/article/pii/S2352484722015438Current harmonicsLeast mean square algorithmSecond order generalized integratorShunt active power filter
spellingShingle Amit V. Sant
Shunt active power filtering with reference current generation based on dual second order generalized integrator and LMS algorithm
Energy Reports
Current harmonics
Least mean square algorithm
Second order generalized integrator
Shunt active power filter
title Shunt active power filtering with reference current generation based on dual second order generalized integrator and LMS algorithm
title_full Shunt active power filtering with reference current generation based on dual second order generalized integrator and LMS algorithm
title_fullStr Shunt active power filtering with reference current generation based on dual second order generalized integrator and LMS algorithm
title_full_unstemmed Shunt active power filtering with reference current generation based on dual second order generalized integrator and LMS algorithm
title_short Shunt active power filtering with reference current generation based on dual second order generalized integrator and LMS algorithm
title_sort shunt active power filtering with reference current generation based on dual second order generalized integrator and lms algorithm
topic Current harmonics
Least mean square algorithm
Second order generalized integrator
Shunt active power filter
url http://www.sciencedirect.com/science/article/pii/S2352484722015438
work_keys_str_mv AT amitvsant shuntactivepowerfilteringwithreferencecurrentgenerationbasedondualsecondordergeneralizedintegratorandlmsalgorithm