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- W4383503042 abstract "Due to the influence of extreme weather conditions and the complex operation modes of modern power system, there must be risks of large-scale power outages in the power system, and the system recovery problem after a major outage has become an important research hotspot. Therefore, to address the problem of low availability of certain power equipment in the system after extreme weather events, an optimal power system partition recovery model considering grid reconfiguration efficiency and path reliability is proposed. The proposed model first takes the units' power recovered in per unit time and the recovery ratio of critical loads as constraints to ensure the efficiency of the grid reconfiguration, and then it establishes and takes into account the path reliability index based on the availability of power equipment to make the recovery process safe and stable as well as enhancing the resilience of the post-disaster system. This paper first completes the recovery of units and loads within the partition by searching for the shortest recovery path of each unit based on Dijkstra's algorithm, and then solves the partition recovery optimization problem to obtain the best partition recovery strategy through genetic algorithm. Finally, this paper verifies the effectiveness and practicality of the proposed method by using the New England 10-unit 39-node system." @default.
- W4383503042 created "2023-07-08" @default.
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- W4383503042 date "2023-05-12" @default.
- W4383503042 modified "2023-09-29" @default.
- W4383503042 title "An Optimization Strategy for Power System Partition Recovery Considering Grid Reconfiguration Efficiency and Path Reliability" @default.
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- W4383503042 doi "https://doi.org/10.1109/ceepe58418.2023.10166144" @default.
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