چكيده به لاتين
Today, due to climate change, natural disasters such as floods, earthquakes, hurricanes have increased significantly compared to the past. In the event of a natural disaster, great loss of life and property will be inflicted on all sections of society. One of the effects of natural disasters is related to the damage to the electricity network infrastructure. In general, resilience is one of the emerging concepts in power system studies that has not yet been defined as a standard indicator to assess the resilience of the power grid. However, extensive studies have been conducted in this field and experts in this field have expressed the expected features and characteristics of power systems with different perspectives. Accordingly, this dissertation examines the process of assessing resilience in order to achieve the minimum amount of downtime and shutdown cost in the recovery characteristic. Based on this, a linear model is presented to evaluate the resilience and considering the failure curve of equipment in the face of storms and the life of each equipment to locate three approaches, distributed generation sources, remotely controllable switches, and simultaneous location of distributed generation sources and keys. Remotely controllable to reduce downtime and shutdown costs. The results show that the simultaneous presence of distributed generation resources and remotely controllable switches reduces downtime as well as the cost of blackouts for subscribers more than the other two solutions and improves resilience in the recovery characteristic. It has also been observed that distributed generation resources and remotely controllable switches increase the speed of recovery and redundancy of power distribution networks.
