The optimization of DG capacity using PSO based on immune algorithm

被引：0
|
作者：
Ma, Rui [1 ]
机构：
[1] North China Elect Power Univ Baoding, Baoding 071000, Peoples R China
来源：
PROCEEDINGS OF THE 2017 2ND INTERNATIONAL CONFERENCE ON MACHINERY, ELECTRONICS AND CONTROL SIMULATION (MECS 2017) | 2017年 / 138卷
关键词：
particle swarm optimization (PSO) algorithm; active distributed generation (ADN); immune algorithm; active management (AM);
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
For the model of optimization of DG accession capacity, improved Newton-Raphson algorithm is used to calculate the power flow. The particle swarm optimization algorithm based on immune is used to optimize the model, and the maximum capacity of DG is obtained. Finally, the IEEE 33-bus distribution system [1] is used as an example to verify, the power flow and node voltage are calculated separately before and after the DG connected to distribution network and the system indicators are compared to come into four conclusions.
引用
收藏
页码：111 / 115
页数：5
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