Maximum power point tracking in photovoltaic systems using adaptive control (Record no. 10138)

MARC details
000 -LEADER
fixed length control field 02573nam a22001937a 4500
003 - CONTROL NUMBER IDENTIFIER
control field BML
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 621.3
Item number SAH
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Sahu, Pankaj
245 ## - TITLE STATEMENT
Title Maximum power point tracking in photovoltaic systems using adaptive control
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Gurgaon
Name of publisher, distributor, etc BML Munjal University
Date of publication, distribution, etc 2022
300 ## - PHYSICAL DESCRIPTION
Extent 96p.
502 ## - DISSERTATION NOTE
Dissertation note Thesis submitted in the fulfillment of the requirement for the degree of Doctor of Philosophy by Pankaj Sahu Under the supervision of Dr. Rajiv Dey
Degree type Doctor of Philosophy
Year degree granted 2022
520 ## - SUMMARY, ETC.
Summary, etc. This work proposes various adjustable gain-based model reference adaptive control schemes for maximum power point tracking (MPPT) in photovoltaic (PV) systems. The proposed adjustable gain based MRAC schemes in MPPT ensure fast convergence speed with guaranteed transient performance and overall system stability under rapidly changing environmental conditions. The abovementioned performance is achieved without the need of high adaptation gain as required in conventional MRAC schemes in MPPT. The first level of control is the conventional ripple correlation control (RCC), used to obtain ripple-free optimal duty cycle in steady-state, which serves as input for the second level of control, which is the adjustable gain based MRAC controller. Conventional high-static adaptation gain MRAC scheme provides guaranteed transient performance in MPPT, but the high adaptation gain circumvents adverse effects on the system s stability and robustness. Moreover, in PV systems when environmental conditions are changing rapidly, gain requirement depends upon the magnitude of the error; therefore, a fixed high gain controller does not completely provide a solution to the dynamic behavior of non-linear PV systems under rapidly changing environmental conditions. This work attempts to overcome these issues using the proposed adjustable-gain based MRAC architectures, in which the adaptation gain is adjusted as a function of the tracking error, caused by the variations in environmental conditions. Mathematical model of the proposed schemes has been developed and stability has been proved using Lyapunov theory. To check the effectiveness of proposed control schemes, simulation studies have been done. Each of the proposed scheme have been validated with the experimental analysis and performance comparisons have also been done.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Engineering
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Electronic and communication
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://shodhganga.inflibnet.ac.in/handle/10603/443606">https://shodhganga.inflibnet.ac.in/handle/10603/443606</a>
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://drc.bml.edu.in:8080/jspui/handle/123456789/2837">http://drc.bml.edu.in:8080/jspui/handle/123456789/2837</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Thesis
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Source of acquisition Full call number Barcode Date last seen Price effective from Koha item type Public note
    Dewey Decimal Classification   Not For Loan Reference BMU Library BMU Library Display-1 12/01/2023 BML Munjal University 621.3 SAH TH04 26/11/2023 26/11/2023 Thesis School of Engineering & Technology

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