محمدجواد حسنوند

Restoration of distribution networks is one of the most important issues faced by power system engineers today. In this thesis, a two-step approach based on formation of a stable microgrid in order to restore the network under random contingency conditions is presented. In this regard, while introducing the two-stage network restoration framework, the sustainable optimization model including the objective function and constraints for creating a microgrid has been presented. Also, the network restoration planning method is presented. The point estimation method is presented in order to model the uncertainty of renewable energy sources. In addition, the modeling of demand response by industrial, commercial and residential subscribers is presented and its effect on the amount of power required to restore the network has been investigated. In order to eva‎luate the performance of the proposed method, its implementation has been done on the sample distribution network of 37 and 33 buses, and the new configuration of the network, which includes several micro-networks, has been obtained in each case study. It is also considered that with the implementation of this restoration plan, in addition to the restoration of loads, the technical limitations of the network will be observed. In addition, the performance of the microgrid formation plan for service recovery depends on the number of microgrids created, which must be obtained for each network. Examining the impact of implementing demand response programs on the service recovery plan shows that with the participation of consumers in demand response programs in emergency situations, more power is restored. To implement the optimization process in this thesis, the genetic algorithm with non-dominated sorting is used.

ايجاد ريزشبكه , بازيابي خدمات , شرايط اضطراري تصادفي , پاسخگويي بار , الگوريتم ژنتيك با مرتب¬سازي نامغلوب.

micro grid formation , service restoration , random contingency , demand response , genetic algorithm with non-dominated sorting

mohammadjavad hassanvand

dr shahram jadid