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A new sectionalizing method for parallel restoration
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DOI：10.1016/j.segan.2026.102522.png)
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Abstract
En 中文
Developing an effective strategy for the fast and reliable restoration of the power system following a wide-area blackout is an important subject in recent years. In this regard, this paper presents an integrated decision-support methodology for evaluating sectionalizing schemes and supporting parallel restoration planning. This method partitions the power system into several independent islands. To identify the optimal island configuration, a multi-criteria decision-making tool named Best-Worst Method is employed. First, the proposed approach prioritizes the establishment of cranking paths for non-black-start (NBS) units. Accordingly, the sectionalizing process first identifies feasible generator groupings and allocates the remaining buses and loads to form the islands. The proposed approach also considers the feasible allocations of non-black-start (NBS) units to black-start resources. This grouping substantially reduces the search space and makes the evaluation of the feasible partitioning to be computationally tractable. Dijkstra's algorithm and depth-first search (DFS) are used to identify valid generator allocations. Then, among the valid options, the final sectionalizing scheme is selected based on five key criteria: maximizing the minimum inertia among the islands; maximizing the minimum reliability among the islands; minimizing the combined index of energy not supplied and unavailable energy capability; minimizing the maximum standing phase angle among all islands; and maximizing the quality index. This study considers time-varying load conditions and solves the sectionalizing problem. The proposed method is implemented on two IEEE 39 and 118-bus systems. Simulation results confirm the effectiveness of the proposed method to enhance the efficiency and reliability of the restoration process.
Keywords:
Best-Worst Method (BWM)
Partitioning
Parallel restoration
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