Minimizing the impact of distributed generation of a weak distribution network with an artificial intelligence technique
- 作者: El Naily N.1, Saad S.M.2, Hussein T.1, Mohamed F.A.3
-
隶属关系:
- Electrical and Electronics Engineering Department
- College of Electrical and Electrical Technology
- Authority of Natural Science Research and Technology
- 期: 卷 53, 编号 2 (2017)
- 页面: 109-122
- 栏目: Direct Conversion of Solar Energy to Electricity
- URL: https://journals.rcsi.science/0003-701X/article/view/149277
- DOI: https://doi.org/10.3103/S0003701X17020128
- ID: 149277
如何引用文章
详细
Integration of renewable energy sources directly into the distribution network become a common practice nowadays, the contribution of renewable energy sources to the distribution network predominate by weather conditions which change short circuit level capability for the electric network. This change in the network configuration could influence the operation of the protective devices in the distribution network. In this study, an online adaptive protection scheme base on adaptive fuzzy algorithm proposed to update and optimize the protection coordination when network topology has been changed. The online algorithm depends on different parameters such as the status of main feeder circuit breaker and the prefault power flow in the network. The simplified network represents a portion of the Eastern Libyan Electric Network implemented in ETAP package.
作者简介
Naser El Naily
Electrical and Electronics Engineering Department
编辑信件的主要联系方式.
Email: elabdli@hotmail.com
阿拉伯利比亚民众国, Benghazi
Saad. Saad
College of Electrical and Electrical Technology
Email: elabdli@hotmail.com
阿拉伯利比亚民众国, Benghazi
T. Hussein
Electrical and Electronics Engineering Department
Email: elabdli@hotmail.com
阿拉伯利比亚民众国, Benghazi
Faisal Mohamed
Authority of Natural Science Research and Technology
Email: elabdli@hotmail.com
阿拉伯利比亚民众国, Tripoli
补充文件
