论文标题
通过闪电搜索算法考虑负载变化的风，太阳能和燃料电池源的能力和位置的最佳估计
Optimal Estimation of Capacity and Location of Wind, Solar and Fuel Cell Sources in Distribution Systems Considering Load Changes by Lightning Search Algorithm
论文作者
论文摘要
在本文中，使用闪电搜索算法（LSA）进行了风，太阳能和燃料电池安装的最佳能力和安装位置，以减少损耗并改善电压轮廓。在两种情况下，已经对标准IEEE 33公交电源系统进行了研究。在第一种情况下，进行研究的假设是，在整个项目期间，在第二种情况下，随着负载增长，负载保持恒定。模拟的结果表明，分布式世代（DGS）放置研究的负载变化。此外，结果证实了所提出的算法在降低目标函数时的性能。
In this paper, estimation of optimal capacity and location of installation of wind, solar and fuel cell sources in distribution systems to reduce loss and improve voltage profile, by considering load changes, is carried out with Lightning Search Algorithm (LSA). Studies have been conducted on the standard IEEE 33 bus power system in two scenarios. In the first scenario, study is done with the assumption that the load remains constant throughout the project period and in the second scenario with the load growth. The results of the simulation, indicated that the puissance of load changes on distributed generations (DGs) placement studies. Also, the results confirm the performance of the proposed algorithm in reducing the objective function.
