چكيده لاتين
In recent years, climate change has caused global warming and increased the rate of severe natural disasters. These natural events cause widespread outages and irreparable damages to the power grid. The distribution network is more vulnerable than other parts of the electricity network due to passing through the vicinity of buildings and vegetation. Therefore, the management of the distribution network is forced to take decisions in order to reduce the effects of the incident on the network and increase the resilience of the distribution network, but the financial resources of the distribution companies are limited, so it is necessary to take measures that have the most benefit and the least cost. In this thesis, a new method is presented to increase the resilience of the distribution network against storm and flood incidents. Since in the proposed method, the resilience of the distribution network increases simultaneously against flood and storm events, it is important. Increasing the resilience of the distribution network against two incidents is different from improving resilience against one incident because some solutions may be useful for one incident and may not be useful for another incident and may even be harmful, so it is necessary to use a precise and efficient method that to have the most profit and the lowest cost. For this purpose, at first, vulnerable equipment, which are network lines, are identified by calculating the probability of line failure and defining the vulnerability threshold. Then, solutions to improve resilience including installation of scattered production sources, retrofitting measures, construction of retaining wall and beam box, replacement of aerial cable to underground and replacement of aerial cable to self-supporting cable are presented. In the following, a large number of network line failure scenarios are generated by the iterative Monte Carlo method and reduced to four scenarios by Games software in order to increase the speed of problem solving. In order to prioritize solutions to improve resilience, the criterion of resilience in the basic state and in each solution, the greatest amount of resilience improvement and the greatest cost of solutions are calculated, and in the last step according to the presented method, the BCR index of each solution is calculated and the solutions are prioritized, but due to As the importance of flood and storm may not be equal in some areas, the coefficient of importance of the incident is used and three case studies are defined. Also, sensitivity analysis is performed and observed on the importance coefficient of storm and flood incidents, with the increase of the importance coefficient of one of these incidents, the prioritization and order of these solutions changes.
