贪心算法结合Hopfield神经网络优化配电变电站规划A NEW DISTRIBUTION SUBSTATION PLANNING ALGORITHM BASED ON GREEDY ALGORITHM AND HOPFIELD NEURAL NETWORK
高炜欣,罗先觉,朱颖
摘要(Abstract):
提出了一种城市电网规划中变电站规划优化的新算法。该算法先用贪心算法(greedy algorithm)快速求解新建变电站的座数及各变电站的容量,再利用Hopfield神经网络校核新建变电站的位置和各变电站的供电范围,最后确定各变电站的真实容量。在求解过程中,该方法考虑了已有变电站的改造问题。从全局最优的原则出发,可求得具有实际价值的最优或近似最优解。该方法在求解变电站供电范围时无需对数据进行归一化处理,且易于编程。该方法可为变电站规划提供一种新的思路。
关键词(KeyWords): 电力系统;配电变电站;最优化;神经网络;贪心算法
基金项目(Foundation):
作者(Author): 高炜欣,罗先觉,朱颖
Email:
DOI: 10.13335/j.1000-3673.pst.2004.07.018
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