Determination of local transient stability control based on neural networks

Yutian Liu; Peng Zhang; Tao Gao; Daozhi Xia

Determination of local transient stability control based on neural networks

Yutian Liu
, Peng Zhang
, Tao Gao
, Daozhi Xia

Electrical Engineering

Shandong University of Technology

Research output: Contribution to conference › Paper › peer-review

2 Scopus citations

Abstract

In order to apply neural network to practical power systems, two feature reduction methods are presented in this paper. One introduces the generator coherent clustering and electrical distance to reduce the number of features, and the other adopts linear neural network to perform feature extraction and trains it together with all the sub-neural networks. Simulation results of the northwest power system in China indicate feasibility of local transient stability control decision in large scale power systems based on neural networks.

Original language	English
Pages	393-398
Number of pages	6
State	Published - 1998
Event	Proceedings of the 1998 2nd International Conference on Energy Management and Power Delivery (EMPD'98) - Singapore, Singapore Duration: Mar 3 1998 → Mar 5 1998

Conference

Conference	Proceedings of the 1998 2nd International Conference on Energy Management and Power Delivery (EMPD'98)
City	Singapore, Singapore
Period	03/3/98 → 03/5/98

Cite this

@conference{fc709865efe44b4f9892ac02d09fc05e,

title = "Determination of local transient stability control based on neural networks",

abstract = "In order to apply neural network to practical power systems, two feature reduction methods are presented in this paper. One introduces the generator coherent clustering and electrical distance to reduce the number of features, and the other adopts linear neural network to perform feature extraction and trains it together with all the sub-neural networks. Simulation results of the northwest power system in China indicate feasibility of local transient stability control decision in large scale power systems based on neural networks.",

author = "Yutian Liu and Peng Zhang and Tao Gao and Daozhi Xia",

year = "1998",

language = "English",

pages = "393--398",

note = "Proceedings of the 1998 2nd International Conference on Energy Management and Power Delivery (EMPD'98) ; Conference date: 03-03-1998 Through 05-03-1998",

}

TY - CONF

T1 - Determination of local transient stability control based on neural networks

AU - Liu, Yutian

AU - Zhang, Peng

AU - Gao, Tao

AU - Xia, Daozhi

PY - 1998

Y1 - 1998

N2 - In order to apply neural network to practical power systems, two feature reduction methods are presented in this paper. One introduces the generator coherent clustering and electrical distance to reduce the number of features, and the other adopts linear neural network to perform feature extraction and trains it together with all the sub-neural networks. Simulation results of the northwest power system in China indicate feasibility of local transient stability control decision in large scale power systems based on neural networks.

AB - In order to apply neural network to practical power systems, two feature reduction methods are presented in this paper. One introduces the generator coherent clustering and electrical distance to reduce the number of features, and the other adopts linear neural network to perform feature extraction and trains it together with all the sub-neural networks. Simulation results of the northwest power system in China indicate feasibility of local transient stability control decision in large scale power systems based on neural networks.

UR - https://www.scopus.com/pages/publications/0032231536

M3 - Paper

AN - SCOPUS:0032231536

SP - 393

EP - 398

T2 - Proceedings of the 1998 2nd International Conference on Energy Management and Power Delivery (EMPD'98)

Y2 - 3 March 1998 through 5 March 1998

ER -

Determination of local transient stability control based on neural networks

Abstract

Conference

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