Power grids are vulnerable to disruptions and hence its resilience is crucial to ensure reliability of electricity and reduce failures. The paper studies resilience of distribution grids by studying the impact of bus removals. Through this, the study enables the identification of crucial nodes which when removed reduces the resilience of the grid. The distribution grid is modeled as a network, node failures are simulated and effects are analyzed through Backward-Forward Sweep (BFS) load flow algorithm. The impact of bus removals is assessed by the amount of load shed, which is used as an indicator of resilience. Furthermore, the study analyzes the bus combinations in disintegrated components after bus removals and the repeatedly occurring combinations are identified as potential microgrid areas. The methodology is demonstrated on an IEEE test network and the findings show the critical nodes as well as potential microgrid areas that can improve resilience and ensure operation during failures.

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Impact of Bus Removals on Resilience and Distributed Generation Placement in Radial Distribution Networks

  • K. Akhila,
  • Anju S. Pillai,
  • R. Krishna Priya

摘要

Power grids are vulnerable to disruptions and hence its resilience is crucial to ensure reliability of electricity and reduce failures. The paper studies resilience of distribution grids by studying the impact of bus removals. Through this, the study enables the identification of crucial nodes which when removed reduces the resilience of the grid. The distribution grid is modeled as a network, node failures are simulated and effects are analyzed through Backward-Forward Sweep (BFS) load flow algorithm. The impact of bus removals is assessed by the amount of load shed, which is used as an indicator of resilience. Furthermore, the study analyzes the bus combinations in disintegrated components after bus removals and the repeatedly occurring combinations are identified as potential microgrid areas. The methodology is demonstrated on an IEEE test network and the findings show the critical nodes as well as potential microgrid areas that can improve resilience and ensure operation during failures.