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Updated: Jun 23, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

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提升草原犬优化器,以优化分布网络中的多个风力轮机和光伏分布式发电机的最佳规划,考虑到不同的动态负载模型

Mohamed A Elseify1, Fatma A Hashim2,3, Abdelazim G Hussien4,5

  • 1Department of Electrical Engineering, Faculty of Engineering, Al-Azhar University, Qena, 83513, Egypt.

Scientific reports
|June 19, 2024
PubMed
概括

本研究引入了一种修改后的草原狗优化器 (mPDO),有效地调整太阳能和风能等可再生分布式发电机 (DGs) 的尺寸和位置,提高电网效率,尽管能源输出和动态负载不确定.

关键词:
总局最优化规划总局最优化规划分配系统的分布系统.能量损失 能量损失标有PDO的算法算法太阳能光伏系统的使用精细模具算法 精细模具算法时间变量负载变量.不确定性 不确定性风力轮机的风力轮机

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