1998
DOI: 10.1049/ip-gtd:19981994
|View full text |Cite
|
Sign up to set email alerts
|

Adaptive protection strategies for detecting power system out-of-step conditions using neural networks

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
11
0

Year Published

2009
2009
2024
2024

Publication Types

Select...
3
3
2

Relationship

0
8

Authors

Journals

citations
Cited by 36 publications
(11 citation statements)
references
References 3 publications
0
11
0
Order By: Relevance
“…But if area 1 A becomes greater than area 2 A , the system goes to an out-of-step condition. This concept can be referred to as the energy equilibrium criterion in the time domain.…”
Section: Proposed Protectionmentioning
confidence: 99%
See 1 more Smart Citation
“…But if area 1 A becomes greater than area 2 A , the system goes to an out-of-step condition. This concept can be referred to as the energy equilibrium criterion in the time domain.…”
Section: Proposed Protectionmentioning
confidence: 99%
“…At certain locations of the power system, the calculated impedances will be so small during a disturbance that they enter the protection dead zones of distance relays [2]. In many cases where the disturbance is not severe, the systems should be allowed to settle down to a stable state.…”
Section: Introductionmentioning
confidence: 99%
“…Some of the recently proposed method uses techniques such as neural network [2], [9], adaptive network-based fuzzy interface (ANFIS) [10], and a combination of both to form a fuzzy hyper-rectangular composite neural network (FHRCNN) [11], to develop algorithms for out-of-step detection. The inputs to these methods are obtained from system variables.…”
Section: Introductionmentioning
confidence: 99%
“…The inputs to these methods are obtained from system variables. In [2], [10] and [11] the machine angular frequency is used as inputs, whereas for [9] the input parameters are the mechanical input power, generator kinetic energy deviation and average kinetic energy deviation. These techniques are based on the training of the algorithms on predefined cases and they are able to take quick decision for a case depending on its resemblance to a case in the training set.…”
Section: Introductionmentioning
confidence: 99%
“…Many techniques have been investigated outof-step protection. They are mainly for synchronous machine operated as generator for protection [1][2][3][4]. For synchronous motor, Wei et al firstly attempted to cope with out-of step [5].…”
Section: Introductionmentioning
confidence: 99%