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Data - Driven Customer - Phase Relationship Identification in Low - Voltage Distribution Networks with Distributed Generations : (Record no. 7089)

MARC details
000 -LEADER
fixed length control field 06219nam a2200433 4500
003 - CONTROL NUMBER IDENTIFIER
control field EG-NbEJU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20241204210605.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 241203b2024 ua | m||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency EG-NbEJU
Language of cataloging eng
Transcribing agency EG-NbEJU
Modifying agency EG-NbEJU
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
Language code of summary or abstract ara
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number EPE MSc. 2024 04
Item number 04
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Mugerwa , Geofrey ,
245 10 - TITLE STATEMENT
Title Data - Driven Customer - Phase Relationship Identification in Low - Voltage Distribution Networks with Distributed Generations :
Remainder of title A Thesis Submitted to the Graduate School of Electronics , Communication , and Computer Engineering : Egypt-Japan University of Science and Technology (E-JUST) : In Partial Fulfillment of the Requirements for the Degree of Master of Science in Electrical Power Engineering /
Statement of responsibility, etc. by Geofrey Mugerwa ; Supervisor Committee Prof. Sobby Abdelkader - Egypt-Japan University of Science and Technology , Prof. Maha Elsabrouty - Egypt-Japan University of Science and Technology , Dr. Tamer Megahed - Egypt-Japan University of Science and Technology , Prof. Tanemasa Asano - Kyushu University ; Examination Committee Prof. Sobby Abdelkader - E-JUST , Prof. Mohamed Abdelazim - Vice President of Mansoura University , Prof. Loay Saad Eldin Nasrat - Vice President of Aswan University for Education and Student Affairs<br/><br/>
246 15 - VARYING FORM OF TITLE
Title proper/short title تحديد ارتباط العميل بالوجه باستخدام البيانات في شبكات توزيع الجهد المنخفض المتشملة على مولدات موزعة :
Remainder of title رسالة علمية مقدمة إلى المدرسة التخصصية للدراسات العليا - هندسة الإلكترونيات و الاتصالات و الحاسوب : الجامعة المصرية اليابانية للعلوم و التكنولوجيا كاستيفاء جزئي لمتطلبات الحصول على درجة ماحستير العلوم في هندسة القوى الكهربية / إعداد جيفري موجيروا ; لجنة الإشراف على الرسالة أ . د صبحي عبدالقادر , أ . د مها الصبروتي , د. تامر مجاهد , أ.د تانيماسا اسانو ; لجنة المناقشة و الحكم على الرسالة أ.د صبحي عبدالقادر , أ.د محمد عبدالعظيم محمد عبدالعظيم , أ . د . لؤي سعد الدين نصرت<br/>
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Alexandria :
Name of publisher, distributor, etc. Geofrey Mugerwa
Date of publication, distribution, etc. 2024
300 ## - PHYSICAL DESCRIPTION
Extent 61 leaves ;
Dimensions 30 cm
500 ## - GENERAL NOTE
General note Includes a title page in Arabic
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M.Sc.)<br/>
Degree type Master
Name of granting institution Egypt - Japan University of Science and Technology (E-JUST) - School of Electronics , Communication , and Computer Engineering - Electrical Power Engineering Department
Year degree granted 2024
520 ## - SUMMARY, ETC.
Summary, etc. Phase identification involves determining which phase each end-customer is connected to in a multi-phase distribution network Knowing the correct customer-phase connectivity provides Distribution System Operators (DSOs) with critical information for efficient operation and management of Low-Voltage Distribution Networks (LVDNs) Additionally , accurate phase connectivity information is essential for increasing the hosting capacity of Distributed Energy Resources (DERS) , which are key players in modern power systems On the other hand , incorrect customer-phase connectivity increases the risk of phase unbalance , leading to nuisance tripping of protection devices and equipment damage for assets such as transformers Usually , the phase connectivity information of a LVDN is known to DSOs at the time of planning and commissioning the power line However , due to the complexity and the various changes that occur during its operation , such as new customer connections , maintenance and repair operations , cyber attacks , emergency restoration services , etc. , the original data files maintained at the power management center often contain false connectivity information This challenge is traditionally addressed by applying hardware-based phase identification techniques Nevertheless, such approaches are costly , prone to human errors , and time - consuming, as they involve either installing expensive high-precision devices or employing field-based methods To overcome the above challenges , this thesis develops a novel data- driven method to identify the phase connectivity of end-customers using Advanced Metering Infrastructure (AMI) voltage and current measurements , collected every 15 minutes Firstly , a preprocessing method that employs linear interpolation and singular value decomposition is adopted to improve the quality of the smart meter data Secondly , using Kirchoff's current law and correlation analysis , a 0-1 linear integer programming optimization model is built to uniquely identify the phase to which each customer is connected The datasets utilized are obtained by performing power flow simulations on a modified IEEE-906 test system using OpenDSS software The robustness of the proposed identification algorithm is tested against dataset size , missing data , measurement errors , and the influence of rooftop photovoltaic generation systems To explore the benefits associated with knowing the correct phase identification information
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Issued also as a digital file (for more information please check our Digital Repository)
590 ## - LOCAL NOTE (RLIN)
Local note AnD
Provenance (VM) [OBSOLETE] ACM
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Abdelkader , Sobby ,
Relator term Supervisor
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Elsabrouty , Maha ,
Relator term co-Supervisor
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Megahed , Tamer ,
Relator term co-Supervisor
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Asano , Tanemasa ,
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Abdelkader , Sobby ,
Relator term Examinator
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Abdelazim , Mohamed ,
Relator term co-Examinator
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Nasrat , Loay Saad Eldin ,
Relator term co-Examinator
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name عبدالقادر , صبحي ,
Relator term مشرف
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name الصبروتي , مها ,
Relator term مشرف مساعد
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name مجاهد , تامر ,
Relator term مشرف مساعد
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name اسانو , تانيماسا ,
Relator term مشرف مساعد
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name عبدالقادر , صبحي ,
Relator term مناقش
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name عبدالعظيم , محمد عبدالعظيم محمد ,
Relator term مناقش مساعد
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name نصرت , لؤي سعد الدين ,
Relator term مناقش مساعد
901 ## - Cataloger information
Cataloger Name HaGeR
902 ## - PDF File name
PDF File name TH_02122024_ (1)
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Suppress in OPAC No
Koha item type Dissertations
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Library of Congress Classification     Fayza Aboulnaga Central Library | مكتبة فايزة أبو النجا المركزية بالحرم الجامعي Fayza Aboulnaga Central Library | مكتبة فايزة أبو النجا المركزية بالحرم الجامعي 12/03/2024   EPE MSc. 2024 04 10014200 12/03/2024 C. 1 12/03/2024 Dissertations

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