当前位置: X-MOL 学术Electr. Power Compon. Syst. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Integration of DG and Capacitor in Radial Distribution Networks Using an Efficient Hybrid Optimization Method
Electric Power Components and Systems ( IF 1.7 ) Pub Date : 2020-07-02 , DOI: 10.1080/15325008.2020.1831653
Ismail Mahmoud 1 , Salah Kamel 1, 2 , Hussein Abdel-Mawgoud 1 , Loai Nasrat 1 , Francisco Jurado 3
Affiliation  

Abstract Recently, integration of distributed generations (DGs) and shunt capacitors in radial distribution network are becoming popular to withstand the rapidly increasing in electricity demands. In this article, a hybrid method is proposed to obtain the best locations and sizes of capacitors and DGs in radial distribution network. This hybrid method is based on chaotic whale optimization algorithm (CWOA) and loss sensitivity factor (LSF). The proposed method is tested on IEEE 69-bus system to enhance the buses voltages, increase the distribution system capacity, and decrease the total power loss. The obtained results prove that the proposed method based on CWOA and LSF can be highly effective in determining the locations and sizes of capacitors and DGs in RDS compared with other optimization techniques.

中文翻译:

使用高效混合优化方法在径向配电网中集成 DG 和电容器

摘要 近年来,分布式发电(DG)和并联电容器在径向配电网络中的集成正变得越来越流行,以适应快速增长的电力需求。在本文中,提出了一种混合方法来获得径向配电网络中电容器和 DG 的最佳位置和尺寸。这种混合方法基于混沌鲸鱼优化算法(CWOA)和损失敏感因子(LSF)。该方法在 IEEE 69 总线系统上进行了测试,以提高总线电压,增加配电系统容量,并降低总功率损耗。获得的结果证明,与其他优化技术相比,基于 CWOA 和 LSF 的方法可以非常有效地确定 RDS 中电容器和 DG 的位置和尺寸。
更新日期:2020-07-02
down
wechat
bug