Modeling and Analysis of Resilience for Distribution Networks

Abstract

Electric power distribution networks are constructed and expanded among wide geographical areas. Traditionally the focus of distribution networks planning is mainly on network reliability improvement with minimum cost considering the technical constraints. The aim of such vision is based-on the fact that distribution network outages occurred on the network component because of conventional faults with high frequency and low impact characteristics. Nowadays the power distribution networks encounter with unwanted weather conditions and natural disasters facing the network with high impact low probability events on distribution network that can be damage the network components widely and permanently. It can cause costumer interruption and loss of load with high financial cost. The aim of this chapter is the optimal planning of conventional electric distribution network based-on distribution network resiliency enhancement. In this work the optimal size and site of network component and its topology is determined using optimization algorithm. A resilient-based fitness function is proposed to meet the resilient network requirement. To model the effect of the natural disasters on resilient based distribution network planning, the geographical data for hurricane as a natural disaster is combined to create a spatial risk index map. In this work a new methodology is proposed to establish a rational relation between network component fragility curves, component geographical location and hurricane spatial risk index. The proposed method is tested on a real large scale distribution network.