布谷鸟搜索
计算机科学
灵敏度(控制系统)
启发式
算法
布谷鸟
分类
发电机(电路理论)
过程(计算)
实时计算
功率(物理)
运筹学
数学优化
工程类
数学
人工智能
数据库
粒子群优化
电子工程
生物
动物
操作系统
量子力学
物理
作者
Kaushik Paul,Niranjan Kumar
出处
期刊:International Journal of Electrical and Computer Engineering
[Institute of Advanced Engineering and Science]
日期:2018-12-01
卷期号:8 (6): 4871-4871
被引量:10
标识
DOI:10.11591/ijece.v8i6.pp4871-4879
摘要
The issue to alleviate congestion in the power system framework has emerged as an alluring field for the power system researchers. The research conducted in this article proposes a cuckoo search algorithm based congestion alleviation strategy with the incorporation of wind farm. The bus sensitivity factor data are computed and utilized to sort out the sutiable position for the installation of the wind farm. The generators contributing in the real power rescheduleing process are selected as per the generator sensitivity values. The cuckoo search algorithm is implemented to minimize the congestion cost with the embodiment of the wind farm.The proposed method is tested on 39 bus New England framework and the results obtained with the cuckoo search based congestion management approach outperforms the results opted with other heuristic optimization techniques in the past research literatures.
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