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Investigating the Effects of Distribution Automation on Network Resiliency and its Improvement

Sadeghian Jahromi, Mohammad | 2023

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 56198 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Fotuhi Firuzabad, Mahmud
  7. Abstract:
  8. Recent widespread blackouts around the world have highlighted the fact that power grids must not only ensure reliability against high-probability, low-impact events (HPLI), but also against low-probability, high-impact events (HILP) such as earthquakes, hurricanes, and hurricanes and resist against unnatural events such as cyber attacks. On the other hand, transformation of traditional electricity distribution systems into smart networks that have the ability to automatically perform switching and fault locating can enable utilities to minimize operational costs in case of HILP events occurences. Although the use of distribution automation has been suggested as one of the smart grid solutions in many sources, the impact of this solution has not been investigated in detail. Therefore, with the aim of improving the resilience of distribution networks, first, while determining the main characteristics of extreme events, the concepts and definitions of resilience are expressed in power systems and its differences with other established concepts, including reliability, are highlighted. Then, while presenting a model for the hurricane event, the impact of the automation system on the resilience of the network has been investigated with and without considering the resilience of the automation system. Based on this, first a modeling scheme is created to investigate the hurricane effects on network failures. Then, the effects of the automation system on the resilience of the network against hurricanes are investigated. In the following, a model for the simultaneous planning of distribution automation and energy storage systems in order to improve the resilience of the power grid is presented. Based on this, first the aforementioned programming is formulated as a mixed integer linear programming, and then this model is implemented on the bus number 4 of the Roy Billinton Test System to evaluate the effectiveness of the presented model. As a result, this study first proves that distribution automation, along with other resilience improvement strategies, will perform better, and conversely, the performance of other resilience improvement strategies will be better with automation. Also, the results of the presented model for the simultaneous planning of distribution automation and energy storage systems show that distribution automation can partially improve resilience in the network, and despite the fact that it is cheaper to use distribution automation to improve resilience, automation alone cannot achieve higher levels of resilience in the network. figure out As a result, by using energy storages along with distribution automation, resilience will be improved to higher levels
  9. Keywords:
  10. Reliability ; Distribution Automation ; Resilience Index ; Distribution Networks Planning ; Simultaneous Programming ; Energy Storage System ; Smart Power Grid ; Resilience Enhancement

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