Load Identification Modeling With Improved Model

被引：0

作者：

Liu Shujun ^{[1
]}

Li Xianshan ^{[1
]}

机构：

[1] Three Gorges Univ, Elect Engn Renewable Energy Sch, Yichang 443002, Hu Bei, Peoples R China

来源：

2011 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC) | 2011年

关键词：

load modeling; induction motor identification; genetic algorithm; WSCC;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

The running state of different induction motor in the load group will be moved toward two directions when it was ocurred the large disturbance in the power system, one is to keep on the rotor speed running, another is to decelerate to zero, that is stall state. If the quantity or proportion of stall induction motor in the group is a large number, the dynamic of stall motor has great impacts on the results of power system analysis. So it is necessary to adopt the detailed load model to simulate the complicated dynamic characteristic of the load group. An improved synthesis load model which combines two kinds of induction motor is proposed in this paper, and the improved genetic algorithm is used to slove the optimization problem. The case is studied to illustrate the efficency and comprehensive capability of proposed identification model

引用

页数：4

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