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Mixed Step Size Normalized Least Mean Fourth Algorithm of DSTATCOM Integrated Electric Vehicle Charging Station
The growth of electric vehicle loads increases the harmonics in the distribution grid. This article proposes a mixed step size normalized least mean fourth control algorithm (MSSNLMF) of distribution static compensator to alleviate the harmonics in the electric vehicles connected distribution grid....
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| Published in: | IEEE transactions on industrial informatics 2023-06, Vol.19 (6), p.7583-7591 |
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| Main Authors: | , , , , |
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| cited_by | cdi_FETCH-LOGICAL-c291t-ffb1cc976d309e73c61125b78367551715602faa06338ebd93a216970527f6543 |
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| cites | cdi_FETCH-LOGICAL-c291t-ffb1cc976d309e73c61125b78367551715602faa06338ebd93a216970527f6543 |
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| container_title | IEEE transactions on industrial informatics |
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| creator | Balasundar, Chelladurai Sundarabalan, Chinnayan Karuppaiyah Santhanam, Srinath Nangavaram Sharma, Jayant Guerrero, Josep M. |
| description | The growth of electric vehicle loads increases the harmonics in the distribution grid. This article proposes a mixed step size normalized least mean fourth control algorithm (MSSNLMF) of distribution static compensator to alleviate the harmonics in the electric vehicles connected distribution grid. The overall system comprises bidirectional ac-dc, dc-dc converters, and distribution static compensator. The bidirectional converters are employed to achieve the vehicle to grid and grid to vehicle operations. A lithium-ion battery is utilized as an electric vehicle energy storage device. An adaptive MSSNLMF control algorithm is proposed to extract active and reactive power signals from the distorted load current to obtain the reference source currents. This algorithm combines the least mean fourth and normalized least mean fourth algorithms with mixed step size. The performance of the control algorithm is evaluated in the MATLAB/Simulink environment. It is experimentally verified through the real time simulation using the dSPACE (DS1202) real-time processor. The proposed MSSNLMF algorithm performs well in the DSTATCOM dc-link voltage regulation and reduction of total harmonic distortion. The source current total harmonic distortion is maintained below the allowable limit of IEEE 519-2014 standard. |
| doi_str_mv | 10.1109/TII.2022.3211958 |
| format | article |
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This article proposes a mixed step size normalized least mean fourth control algorithm (MSSNLMF) of distribution static compensator to alleviate the harmonics in the electric vehicles connected distribution grid. The overall system comprises bidirectional ac-dc, dc-dc converters, and distribution static compensator. The bidirectional converters are employed to achieve the vehicle to grid and grid to vehicle operations. A lithium-ion battery is utilized as an electric vehicle energy storage device. An adaptive MSSNLMF control algorithm is proposed to extract active and reactive power signals from the distorted load current to obtain the reference source currents. This algorithm combines the least mean fourth and normalized least mean fourth algorithms with mixed step size. The performance of the control algorithm is evaluated in the MATLAB/Simulink environment. It is experimentally verified through the real time simulation using the dSPACE (DS1202) real-time processor. The proposed MSSNLMF algorithm performs well in the DSTATCOM dc-link voltage regulation and reduction of total harmonic distortion. The source current total harmonic distortion is maintained below the allowable limit of IEEE 519-2014 standard.</description><identifier>ISSN: 1551-3203</identifier><identifier>EISSN: 1941-0050</identifier><identifier>DOI: 10.1109/TII.2022.3211958</identifier><identifier>CODEN: ITIICH</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Adaptive algorithms ; Adaptive control ; Adaptive filters ; Bidirectional power flow ; Capacitors ; Compensators ; Control algorithms ; Control theory ; DC-DC power converters ; distribution static compensator ; Electric vehicle charging ; electric vehicle charging station ; Electric vehicles ; Energy storage ; Filtering algorithms ; Harmonic analysis ; Harmonic distortion ; Lithium-ion batteries ; Microprocessors ; mixed step size normalized least mean fourth algorithm ; Power harmonic filters ; Reactive power ; Real time ; Rechargeable batteries ; Signal processing algorithms ; total harmonic distortion ; Vehicle-to-grid</subject><ispartof>IEEE transactions on industrial informatics, 2023-06, Vol.19 (6), p.7583-7591</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2023</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c291t-ffb1cc976d309e73c61125b78367551715602faa06338ebd93a216970527f6543</citedby><cites>FETCH-LOGICAL-c291t-ffb1cc976d309e73c61125b78367551715602faa06338ebd93a216970527f6543</cites><orcidid>0000-0002-4842-8204 ; 0000-0001-9097-6960 ; 0000-0001-9984-6281 ; 0000-0003-4538-1188 ; 0000-0001-5236-4592</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9910380$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,54774</link.rule.ids></links><search><creatorcontrib>Balasundar, Chelladurai</creatorcontrib><creatorcontrib>Sundarabalan, Chinnayan Karuppaiyah</creatorcontrib><creatorcontrib>Santhanam, Srinath Nangavaram</creatorcontrib><creatorcontrib>Sharma, Jayant</creatorcontrib><creatorcontrib>Guerrero, Josep M.</creatorcontrib><title>Mixed Step Size Normalized Least Mean Fourth Algorithm of DSTATCOM Integrated Electric Vehicle Charging Station</title><title>IEEE transactions on industrial informatics</title><addtitle>TII</addtitle><description>The growth of electric vehicle loads increases the harmonics in the distribution grid. This article proposes a mixed step size normalized least mean fourth control algorithm (MSSNLMF) of distribution static compensator to alleviate the harmonics in the electric vehicles connected distribution grid. The overall system comprises bidirectional ac-dc, dc-dc converters, and distribution static compensator. The bidirectional converters are employed to achieve the vehicle to grid and grid to vehicle operations. A lithium-ion battery is utilized as an electric vehicle energy storage device. An adaptive MSSNLMF control algorithm is proposed to extract active and reactive power signals from the distorted load current to obtain the reference source currents. This algorithm combines the least mean fourth and normalized least mean fourth algorithms with mixed step size. The performance of the control algorithm is evaluated in the MATLAB/Simulink environment. It is experimentally verified through the real time simulation using the dSPACE (DS1202) real-time processor. The proposed MSSNLMF algorithm performs well in the DSTATCOM dc-link voltage regulation and reduction of total harmonic distortion. The source current total harmonic distortion is maintained below the allowable limit of IEEE 519-2014 standard.</description><subject>Adaptive algorithms</subject><subject>Adaptive control</subject><subject>Adaptive filters</subject><subject>Bidirectional power flow</subject><subject>Capacitors</subject><subject>Compensators</subject><subject>Control algorithms</subject><subject>Control theory</subject><subject>DC-DC power converters</subject><subject>distribution static compensator</subject><subject>Electric vehicle charging</subject><subject>electric vehicle charging station</subject><subject>Electric vehicles</subject><subject>Energy storage</subject><subject>Filtering algorithms</subject><subject>Harmonic analysis</subject><subject>Harmonic distortion</subject><subject>Lithium-ion batteries</subject><subject>Microprocessors</subject><subject>mixed step size normalized least mean fourth algorithm</subject><subject>Power harmonic filters</subject><subject>Reactive power</subject><subject>Real time</subject><subject>Rechargeable batteries</subject><subject>Signal processing algorithms</subject><subject>total harmonic distortion</subject><subject>Vehicle-to-grid</subject><issn>1551-3203</issn><issn>1941-0050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNo9kM1PwkAQxRujiYjeTbxs4rk4s0s_9kiqaBOQA9Vrs7TTdklpcbsk6l_vEoineYf35uX9PO8eYYII8ilL0wkHzieCI8ogvvBGKKfoAwRw6XQQoC84iGvvZhi2ACICIUdev9TfVLK1pT1b619i773Zqdapki1IDZYtSXVs3h-MbdisrXujbbNjfcWe19ksS1ZLlnaWaqOsi7y0VFijC_ZJjS5aYkmjTK272jUoq_vu1ruqVDvQ3fmOvY_5S5a8-YvVa5rMFn7BJVq_qjZYFDIKSwGSIlGEiDzYRLEII7ckwiAEXikFoRAxbUopFMdQRhDwqAqDqRh7j6e_e9N_HWiw-dZN6FxlzmOMp0cA0rng5CpMPwyGqnxv9E6ZnxwhP2LNHdb8iDU_Y3WRh1NEE9G_XUoEEYP4A6JGcXg</recordid><startdate>20230601</startdate><enddate>20230601</enddate><creator>Balasundar, Chelladurai</creator><creator>Sundarabalan, Chinnayan Karuppaiyah</creator><creator>Santhanam, Srinath Nangavaram</creator><creator>Sharma, Jayant</creator><creator>Guerrero, Josep M.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| source | IEEE Electronic Library (IEL) Journals |
| subjects | Adaptive algorithms Adaptive control Adaptive filters Bidirectional power flow Capacitors Compensators Control algorithms Control theory DC-DC power converters distribution static compensator Electric vehicle charging electric vehicle charging station Electric vehicles Energy storage Filtering algorithms Harmonic analysis Harmonic distortion Lithium-ion batteries Microprocessors mixed step size normalized least mean fourth algorithm Power harmonic filters Reactive power Real time Rechargeable batteries Signal processing algorithms total harmonic distortion Vehicle-to-grid |
| title | Mixed Step Size Normalized Least Mean Fourth Algorithm of DSTATCOM Integrated Electric Vehicle Charging Station |
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