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Searching Method of Core Backbone Grid Based on Biogeography-Based Optimization Algorithm

Constructing backbone grid is important means of carrying out differential planning to improve power system’s ability of resisting natural disasters. A searching method of core backbone grid with the target of the smallest total lines and nodes and the largest integrated survivability index based on the index system of survivability was put forward with constraint conditions of network connectivity and power grid’s safe operation. The biogeography-based optimization algorithm was introduced to search for the optimal core backbone grid. Compared with particle swarm optimization (PSO), binary ant colony algorithm (BACA), genetic algorithm (GA), the proposed method is accurate and effective, and it has the merits of better convergence speed and convergence precision.