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Optimal planning of substation locating based on GIS and refined multi-team PSO algorithm

机译:基于GIS和改进的多团队PSO算法的变电站选址优化规划。

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A new intelligent algorithm, improved particle swarm optimization algorithm, is presented to handle optimal substation locating problem. Simulated annealing and mutation operator will be considered to introduce in this PSO algorithm, so it guarantee the multiplicity of colony in the computational initial period and enhance the optimization decimal of the algorithm in the later period. The paper firstly introduces the geographic information as Metadata factor into the model. Through an analysis of the examples, the paper finally provides a reference to the distribution network planning and construction.
机译:提出了一种新的智能算法,改进的粒子群算法,以解决变电站的最优定位问题。该PSO算法将考虑采用模拟退火和变异算子,从而保证了计算初期的菌落多样性,并在后期提高了算法的最优化小数。本文首先将地理信息作为元数据因子引入模型中。通过对实例的分析,最终为配电网的规划和建设提供了参考。

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