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Recovering Power Grids Using Strategies Based on Network Metrics and Greedy Algorithms
Fenghua Wang1, Hale Cetinay2, Zhidong He3
1Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, 2628 CD Delft, The Netherlands.
This study evaluated power grid recovery strategies after link failures. Greedy algorithms, particularly the two-step greedy recovery, significantly outperformed methods based on single network metrics.
Area of Science:
- Electrical Engineering
- Network Science
- Complex Systems
Background:
- Power grids are critical infrastructure susceptible to random link failures.
- Efficient recovery strategies are essential for grid resilience and stability.
- Topological network metrics are often considered for link recovery but their efficacy varies.
Purpose of the Study:
- To investigate and compare the performance of various link recovery strategies in power grids under the direct current (DC) power flow model.
- To evaluate strategies based on topological network metrics against heuristic approaches.
- To identify the most effective strategy for restoring power grid links after failures.
Main Methods:
- Simulated random link failures in three distinct power systems (IEEE 30, 39, and 118).
- Evaluated 13 recovery strategies: 2 link centrality-based, 8 node centrality product-based, and 2 heuristic (greedy, two-step greedy).
- Compared strategy performance using the DC power flow model.
Main Results:
- Performance of topological metric-based strategies varied significantly across different power systems.
- All topological metric-based strategies were outperformed by heuristic recovery strategies.
- The two-step greedy recovery strategy demonstrated the best performance, followed closely by the greedy recovery strategy.
Conclusions:
- Relying on a single topological metric is insufficient for effective power grid link recovery.
- Greedy-based recovery strategies offer superior performance compared to single-metric approaches.
- The two-step greedy recovery strategy is a highly effective method for enhancing power grid resilience.
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In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:

