Zenhom Mohamed Zenhom Kotb, <br/><br/>
Innovative approaches for simultaneous  distributed generation and electric vehicles  hosting capacity enhancement in distribution networks / 
 طرق مبتكرة لتعزيز سعة الاستضافة للتوليد الموزع والسيارات الكهربية في شبكات التوزيع 
by Zenhom Mohamed Zenhom Kotb ; Supervisors Prof. Dr. Essam Aboul Zahab, Prof. Dr. Shady Abdelaleem. 
 - 143 pages :   illustrations ;   30 cm. +   CD. 
<br/><br/>Thesis (Ph.D)-Cairo University, 2025. 
<br/><br/>Bibliography: pages 124-143. 
<br/><br/> In the pursuit of sustainable development, the integration of electric vehicles <br/>(EVs) and renewable-based distributed generation (RDG) into distribution networks <br/>(DNs) offers numerous advantages, including the reduction of harmful emissions, the <br/>diversification of energy sources, and the promotion of renewable energy adoption. <br/>However, the integration of RDGs and EVs into DNs presents substantial challenges, <br/>particularly when not properly managed, posing risks to the safe and reliable operation <br/>of the network. As a result, it is crucial for the distribution system operator (DSO) to <br/>effectively define and assess two important terms: distributed generation hosting <br/>capacity (DG-HC) and electric vehicles hosting capacity (EV-HC). Although there has <br/>been a surge in research on hosting capacity (HC) approaches, there remains a <br/>significant gap in the literature regarding models that integrate demand response (DR), <br/>smart inverters (SIs) Volt/VAR control, DG-HC, and EV-HC objectives <br/>simultaneously. <br/>  <br/>This thesis addresses this gap by proposing a hierarchical bi-level optimization <br/>framework for enhancing hosting capacity, which incorporates both dynamic tariff-<br/>based DR and SI Volt/VAR control. The lower level of the proposed framework <br/>optimally adjusts the load curves of participating customers and the charging demands <br/>of EV aggregators, based on the proposed dynamic tariff approach. In the upper level, <br/>the DSO optimizes a multi-objective function that includes the maximization of DG-<br/>HC and EV-HC, as well as the minimization of power losses, using the optimal load <br/>curves from the lower level. Furthermore, the integration of DR with optimal <br/>Volt/VAR control from SIs is used to further refine and support the optimization <br/>process. The thesis also explores the impact of grid-connected EVs (GCEVs) on <br/>increasing DG-HC, considering both uncoordinated and coordinated charging schemes. <br/>To validate the robustness and effectiveness of the proposed approach, three types of <br/>loads are taken into account, and the approach is tested on both the IEEE 33-bus test <br/>system and a real distribution network with 59 buses located in Cairo, Egypt. <br/><br/> <br/><br/>The results of the study lead to several key conclusions. First, the assessment of <br/>DG-HC varies significantly depending on whether the EV charging demand is <br/>considered. Specifically, for the IEEE 33-bus network, the average value of the optimal <br/>DG-HC increased by over 133% when EV integration was included. Second, the <br/>implementation of the dynamic pricing-based DR program in the IEEE 33-bus network <br/>resulted in significant improvements in both DG-HC and EV-HC, with increases of <br/>approximately 34% and 27%, respectively, leading to a substantial enhancement in the <br/>combined DG-EV-HC. Finally, when the synergistic combination of DR and Volt/VAR <br/>control was applied, the hosting capacity for DG and EVs saw remarkable <br/>improvements in the IEEE 33-bus network, with DG-HC rising by approximately <br/>49.2% and EV-HC increasing by 61.2%. These findings underscore the effectiveness of <br/>the proposed synergistic enhancement technique in improving the overall hosting   تقدم 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. 
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<br/><br/><br/>Text in English and abstract in Arabic & English. 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Electrical engineering<br/>هندسة القوي الكهربية
<br/><br/><label>Subjects--Index Terms: </label>Hosting Capacity  Distributed Generation  Electric Vehicles  Optimization Techniques  Demand Response  Volt/VAR Control  سعة الاستضافة  التوليد الموزع 
<br/><br/><label>Dewey Class. No.: </label>621