Grid interactive charging station using ZAJO-NLMS adaptive filtering technique with improved power quality for EV applications (Record no. 17279)

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fixed length control field a
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control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220820101211.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220820b xxu||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency AIKTC-KRRC
Transcribing agency AIKTC-KRRC
100 ## - MAIN ENTRY--PERSONAL NAME
9 (RLIN) 17517
Author Jaraniya, Dulichand
245 ## - TITLE STATEMENT
Title Grid interactive charging station using ZAJO-NLMS adaptive filtering technique with improved power quality for EV applications
250 ## - EDITION STATEMENT
Volume, Issue number Vol.103(3), June
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. New York
Name of publisher, distributor, etc. Springer
Year 2022
300 ## - PHYSICAL DESCRIPTION
Pagination 845-857p.
520 ## - SUMMARY, ETC.
Summary, etc. This work presents the grid interactive charging station (CS) for electric vehicles (EVs) with improved power quality. The charging station comprises of multiple photovoltaic (PV) array with parallel voltage source converters (VSCs) coupled at point of common coupling (PCC). The main PV array is integrated to the grid via VSC with the battery storage bank. Other PV array along with VSC is used for the ancillary purpose. The charging station performs multiple objectives, i.e., grid to vehicle (G2V) without renewable generation, vehicle to grid (V2G) with and without PV source and under nonlinear load dynamics with grid interactive mode. The DC bus voltage is regulated via bidirectional converter by cascaded proportional integral (PI) controller for main VSC. However, for the ancillary VSC, the DC bus voltage is stabilized by integrating PI control with zero attracter joint optimization-based normalized least mean square (ZAJO-NLMS)-based algorithm. The ZAJO-NLMS controller is used for extraction of fundamental load current to control the CS. The comparative study of the proposed adaptive filter is also done with the LMS and NLMS adaptive filters for the proposed CS. The operational function of charging station is validated from the presented results. From the results, it is observed that the net extracted power from the PV arrays to the prime and ancillary VSC is 11 kW at 1000 W/m2. However, the power consumed by the load is 1.07 kW and 2.52 kW power is used to charge the EV battery. Therefore, the remaining 7.5 kW power is supplied to the grid. However, the grid and battery powers vary depending upon the V2G, G2V, insolations and load change operations.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 4642
Topical term or geographic name entry element Humanities and Applied Sciences
700 ## - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 7794
Co-Author Shailendra Kumar
773 0# - HOST ITEM ENTRY
Title Journal of the institution of engineers (India): Series B
International Standard Serial Number 2250-2106
856 ## - ELECTRONIC LOCATION AND ACCESS
URL https://link.springer.com/article/10.1007/s40031-021-00689-0
Link text Click here
942 ## - ADDED ENTRY ELEMENTS (KOHA)
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    Dewey Decimal Classification     School of Engineering & Technology School of Engineering & Technology Archieval Section 20/08/2022   2022-1300 20/08/2022 20/08/2022 Articles Abstract Database
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