Identification of Synchronous Machines Parameters using Genetic Algorithm and Load Rejection Test

被引：0

作者：

Silva, Paulo V. V. ^{[1
]}

Bortoni, Edson C. ^{[1
]}

Rocha, J. Johnny E. ^{[2
]}

机构：

[1] Univ Fed Itajuba, Ctr Excellence Energy Efficiency, Itajuba, Brazil

[2] GE Renewble Energy Hydro, Global Technol Ctr Latin Amer, Taubate, Brazil

来源：

2017 IEEE POWER & ENERGY SOCIETY GENERAL MEETING | 2017年

关键词：

Genetic Algorithm; Parameter Identification; Synchronous Machines;

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：

This paper shows the use of Genetic Algorithm for the determination of synchronous machines parameters using load rejection test data. The conditions to a quadrature rejection are obtained through machine modeling, instead of trial and error. The methodology is applied using simulated data from real machines.

引用

页数：5

共 8 条

[1] [Anonymous], 2009, 115 IEEE POW EN SOC
[2] Bortoni E. C., 2002, IEEE T ENERGY CONV, V17
[3] Da Costa Bortoni Edson, 2016, IEEE Power and Energy Technology Systems Journal, V3, P43, DOI 10.1109/JPETS.2016.2537274
[4] DERIVATION OF SYNCHRONOUS MACHINE PARAMETERS FROM TESTS
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RIBEIRO, JR
[J]. IEEE TRANSACTIONS ON POWER APPARATUS AND SYSTEMS, 1977, 96 (04): : 1211 - 1218
[5] EPFL SIMSEN, SIMSEN SIM SOFTW POW
[6] *IEC, 2008, 600344 IEC
[7] *IEEE, 1983, 115A IEEE
[8] IEEE Std, 1812, 1812 IEEE POW EN SOC

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