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Distribution network structure planning based on ant algorithm

机译:基于蚁群算法的配电网结构规划

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摘要

The distribution network planning is a complex combinatorial optimization problems, Based on the suboptimal solution instead of solving the optimal solution when the time complexity of the problem from the point of view, Adjust the traditional model base on it does not need Solution Accuracy, the distribution network planning problem is divided into two stages. Then using ant colony algorithm search for optimal solutions based on load forecasting, and it takes planning solution that meet the constraints. By the following examples of the results show that the ant colony algorithm has good adaptability and high computing efficiency and optimize the effect is good etc.
机译:配电网规划是一个复杂的组合优化问题,从问题的时间复杂度的角度出发,基于次优解而不是求解最优解,在不需要求解精度的情况下调整传统模型即可网络规划问题分为两个阶段。然后使用蚁群算法基于负荷预测搜索最优解,并采用满足约束条件的规划解。通过以下实例的结果表明,蚁群算法具有适应性强,计算效率高,优化效果好等优点。

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