Optimization of Unbalanced Active Distribution Systems Using Cuckoo Search Algorithm

被引:1
作者
Wang, Tianjian [1 ]
Wang, Ying [1 ]
Hou, Yan [1 ]
Gu, Fei [1 ]
Hou, Shaoshuai [1 ]
Jin, Wei [1 ]
机构
[1] State Grid Zhengzhou Power Supply Co, Substat Operat & Maintenance Ctr, Zhengzhou, Peoples R China
来源
2021 THE 9TH IEEE INTERNATIONAL CONFERENCE ON SMART ENERGY GRID ENGINEERING (SEGE 2021) | 2021年
关键词
distributed generation; active distributed network; cuckoo search algorithm; optimal powerflow;
D O I
10.1109/SEGE52446.2021.9534957
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
These years, the connection of distributed generation (DG) to active distribution systems or microgrid has been widely used. The DGs integration and the novel optimization algorithms, makes the realization of optimal power flow (OPF) at the distribution level feasible. OPF not only reduces system power losses, but also decreases the DGs generation costs; simultaneously, the new control strategy improves the voltage profiles, which is a significant factor of power qualities. In this paper, a multi-objective function is converted into a single objective problem that defines a nonlinear power flow for optimization. Cuckoo Search (CS) algorithm is put into used.
引用
收藏
页码:129 / 133
页数:5
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