Optimized Self-Healing Protocols Utilizing Conservative Voltage Reduction

الموضوعات

علوم تطبيقية وتكنولوجية

الملخص

Smart protocols have become prominent in the past decade as they provide significant benefits to the grid. These benefits include allowing distributed generation at the distribution level and self-healing protocols. The ability to self-heal after a contingency is the most attractive feature of the smart grid as it leads to increasing the efficiency and reliability of the system. It is commonly carried out using reconfiguration protocols that reconfigure the system to reroute the power to the loads affected by the contingency. However, the benefit of rerouting the system is constrained by the generation constraints, thermal limitations, and voltage constraints. In the case of grid-connected systems, reconfiguration alone could restore a significant portion of the load. Still, in isolated systems with limited generation, reconfiguration is not very efficient in carrying out the self-healing scheme. This work proposes enhancing the self-healing scheme by adding a concept commonly used in the conventional power grid called conservative voltage reduction (CVR). CVR is deployed on voltage-dependent loads across the whole system as it reduces the voltage on all the loads, resulting in reducing the power consumed by the load. The effect of CVR is more significant in systems with limited generation as it provides more available power to be rerouted to the out-of-service loads. Combining the reconfiguration with the CVR to carry out the self-healing scheme has been shown to significantly affect the number of loads reconnected and improve the self-healing scheme significantly. The proposed method has been implemented on the IEEE-69 bus test system considering its thermal and voltage limitations. The system has been constructed to include both dispatchable and non-dispatchable distributed generation (DG). The non-dispatchable generation is modeled probabilistically to mimic the stochastic characteristics of wind DG. The probabilistic method has been considered with the combined generation and load model to simulate the realistic pattern of the renewable DGs and loads. This has been modeled using GAMS software as an MINLP which minimizes the amount of unserved power.

روابط وملفات

التعريف والنوع

رقم الوثيقة

05323ed8-809b-40d3-88ac-7a5df2fb1190

رقم العقد

0

نوع الوسائط

Crawler

نوع المحتوى

الرسائل العلمية

صيغة المصدر

رسائل ماجيستير

نوع الملف

pdf text

أسماء الملفات

2282733_1.pdf

بيانات النشر

ألقاب المؤلفين

[{"name_ar":" Ehab El-Sadaany","title_ar":"اشراف","title_en":"Supervision"},{"name_ar":"Ahmed Al-Durra","title_ar":"اشراف","title_en":"Supervision"},{"name_ar":"Rawdha Hamad AlKuwaiti","title_ar":"اعداد","title_en":"Preparation"}]

اللغة

English

المصدر والدورية

اسم المصدر

Optimized Self-Healing Protocols Utilizing Conservative Voltage Reduction

المحتوى والصفحات

عدد الصفحات

0

كلمات الباحثين

Self-healing smart grids reconfiguration conservative voltage reduction distributed generation and mixed integer non-linear programming

إشراف وإعداد

الإشراف

Ehab El-Sadaany, Ahmed Al-Durra

الإعداد

Rawdha Hamad AlKuwaiti

الاقتباسات الببليوغرافية