000			06385namaa22004331i 4500
003			EG-GICUC
005			20260311105202.0
008			260301s2025 ua a|||frm||| 000 0 eng d
040			_aEG-GICUC _beng _cEG-GICUC _dEG-GICUC _erda
041	0		_aeng _beng _bara
049			_aDeposit
082	0	4	_a621
092			_a621 _221
097			_aPh.D
099			_aCai01.13.07.Ph.D.2025.Ze.I
100	0		_aZenhom Mohamed Zenhom Kotb, _epreparation.
245	1	0	_aInnovative approaches for simultaneous distributed generation and electric vehicles hosting capacity enhancement in distribution networks / _cby Zenhom Mohamed Zenhom Kotb ; Supervisors Prof. Dr. Essam Aboul Zahab, Prof. Dr. Shady Abdelaleem.
246	1	5	_aطرق مبتكرة لتعزيز سعة الاستضافة للتوليد الموزع والسيارات الكهربية في شبكات التوزيع
264		0	_c2025.
300			_a143 pages : _billustrations ; _c30 cm. + _eCD.
336			_atext _2rda content
337			_aUnmediated _2rdamedia
338			_avolume _2rdacarrier
502			_aThesis (Ph.D)-Cairo University, 2025.
504			_aBibliography: pages 124-143.
520		3	_aIn the pursuit of sustainable development, the integration of electric vehicles (EVs) and renewable-based distributed generation (RDG) into distribution networks (DNs) offers numerous advantages, including the reduction of harmful emissions, the diversification of energy sources, and the promotion of renewable energy adoption. However, the integration of RDGs and EVs into DNs presents substantial challenges, particularly when not properly managed, posing risks to the safe and reliable operation of the network. As a result, it is crucial for the distribution system operator (DSO) to effectively define and assess two important terms: distributed generation hosting capacity (DG-HC) and electric vehicles hosting capacity (EV-HC). Although there has been a surge in research on hosting capacity (HC) approaches, there remains a significant gap in the literature regarding models that integrate demand response (DR), smart inverters (SIs) Volt/VAR control, DG-HC, and EV-HC objectives simultaneously. This thesis addresses this gap by proposing a hierarchical bi-level optimization framework for enhancing hosting capacity, which incorporates both dynamic tariff- based DR and SI Volt/VAR control. The lower level of the proposed framework optimally adjusts the load curves of participating customers and the charging demands of EV aggregators, based on the proposed dynamic tariff approach. In the upper level, the DSO optimizes a multi-objective function that includes the maximization of DG- HC and EV-HC, as well as the minimization of power losses, using the optimal load curves from the lower level. Furthermore, the integration of DR with optimal Volt/VAR control from SIs is used to further refine and support the optimization process. The thesis also explores the impact of grid-connected EVs (GCEVs) on increasing DG-HC, considering both uncoordinated and coordinated charging schemes. To validate the robustness and effectiveness of the proposed approach, three types of loads are taken into account, and the approach is tested on both the IEEE 33-bus test system and a real distribution network with 59 buses located in Cairo, Egypt. The results of the study lead to several key conclusions. First, the assessment of DG-HC varies significantly depending on whether the EV charging demand is considered. Specifically, for the IEEE 33-bus network, the average value of the optimal DG-HC increased by over 133% when EV integration was included. Second, the implementation of the dynamic pricing-based DR program in the IEEE 33-bus network resulted in significant improvements in both DG-HC and EV-HC, with increases of approximately 34% and 27%, respectively, leading to a substantial enhancement in the combined DG-EV-HC. Finally, when the synergistic combination of DR and Volt/VAR control was applied, the hosting capacity for DG and EVs saw remarkable improvements in the IEEE 33-bus network, with DG-HC rising by approximately 49.2% and EV-HC increasing by 61.2%. These findings underscore the effectiveness of the proposed synergistic enhancement technique in improving the overall hosting
520		3	_aتقدم هذه الأطروحة تقنيات جديدة لتعزيز سعة الاستضافة لكل من السيارات الكهربية والتوليد الموزع في وقت واحد. يتم فحص فعالية تقنية الاستجابة للطلب القائم على التسعيرة المتغيرة الجديد والتحكم في الفولت/فار للعواكس الذكية بهدف تحسين سعة الاستضافة المشتركة. تم اقتراح تصميم رياضي جديد متعدد الأهداف للأطروحة يهدف إلى تعظيم سعة الاستضافة وتقليل الفاقد الكلي في القدرة الكهربية في الوقت ذاته. تم تقييم مدى دقة المنهج المقترح عن طريق الأخذ في الاعتبار أنواع الأحمال المختلفة مثل الأحمال التجارية، والصناعية، والسكنية. أكدت نتائج المحاكاة على قدرة التقنية المقترحة علي تحسين سعة الاستضافة لكل من التوليد الموزع والسيارات الكهربية بشكل فعال مع تحقيق تقليل ملحوظ في القدرة الكهربية المفقودة.
530			_aIssues also as CD.
546			_aText in English and abstract in Arabic & English.
650		0	_aElectrical engineering
650		0	_aهندسة القوي الكهربية
653		1	_aHosting Capacity _aDistributed Generation _aElectric Vehicles _aOptimization Techniques _aDemand Response _aVolt/VAR Control _aسعة الاستضافة _aالتوليد الموزع
700	0		_aEssam Aboul Zahab _ethesis advisor.
700	0		_aShady Abdelaleem _ethesis advisor.
900			_b01-01-2025 _cEssam Aboul Zahab _cShady Abdelaleem _UCairo University _FFaculty of Engineering _DDepartment of Electrical Power Engineering
905			_aShimaa _eEman Ghareb
942			_2ddc _cTH _e21 _n0
999			_c178780