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发明公开
CN110492522A 基于遗传算法的微电网配置方法、装置、设备及其介质 无效 - 撤回

基于遗传算法的微电网配置方法、装置、设备及其介质
摘要：
本发明涉及微电网领域，公开了一种基于遗传算法的微电网配置方法、装置、设备及其介质。本发明中的基于遗传算法的微电网配置方法包括：生成包含多个个体的第1代种群；计算第1代种群中每个个体的适应度，并选择适应度高于预定阈值的个体组成该第1代种群的第1代精英库；对除精英库中的第一代个体进行交叉和变异处理，以组成下一代的种群；计算当前种群中每个个体的适应度，并通过与当代精英库中的个体对比，对当代精英库进中的个体进行替换，以组成新一代的精英库；获取满足预定结束条件后得到的最终的精英库中适应度最高的个体。本发明能有效减少求解微电网的最优配置中的计算迭代次数，提高计算效率和准确度。
摘要（英）：

The invention relates to the field of micro-grids, and discloses a micro-grid configuration method and device based on a genetic algorithm, an apparatus and a medium. The microgrid configuration method based on the genetic algorithm comprises the following steps of generating a first generation population containing a plurality of individuals; calculating the fitness of each individual in the first-generation population, and selecting the individuals with the fitness higher than a preset threshold value to form a first-generation elite library of the first-generation population; performing crossover and mutation processing on the first-generation individuals in the elite removal library to form a next-generation population; calculating the fitness of each individual in the current population, comparing with the individuals in the contemporary elite library, and replacing the individuals in the contemporary elite library to form a new generation of elite library; and obtaining the individual with the highest fitness in the final elite library after the predetermined ending condition is met. According to the present invention, the number of calculation iterations for solving the optimal configuration of the microgrid can be effectively reduced, and the calculation efficiency and the accuracy are improved.

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