Probabilistic Assessment of Transient Stability in a Practical Multimachine System

Billinton,; Kuruganty,

doi:10.1109/mper.1981.5511729

Cited by 30 publications

(19 citation statements)

References 1 publication

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“…Basic concepts of probabilistic dynamic security assessment have been introduced in early 1980s [12,13,14]. The probability of stability indices have been developed by incorporating probabilistic aspects of type, location and clearance of the system faults.…”

Section: Probabilistic Approachmentioning

confidence: 99%

Risk-Based Dynamic Security Assessment

Dissanayaka

Annakkage

Jayasekara³

et al. 2011

IEEE Trans. Power Syst.

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Section: Probabilistic Approachmentioning

confidence: 99%

Risk-Based Dynamic Security Assessment

Dissanayaka

Annakkage

Jayasekara³

et al. 2011

IEEE Trans. Power Syst.

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“…TSA has been examined by many researches [1,2,3] the traditional numerical integration method [1] discretizes the machine swing equations to obtain the evolution with time of the machine rotor angles but it is tedious and not suitable for on-line environment. Lyapunov stability theory of non-linear systems was used in [2].…”

Section: Introductionmentioning

confidence: 99%

“…Even though these methods are accurate, they are computationally tedious. In [3] a probabilistic assessment of TS for a multi-machine power system was suggested and random nature of the fault type and location were considered in details.…”

Section: Introductionmentioning

confidence: 99%

Transient Stability Assessment using Decision Trees and Fuzzy Logic Techniques

Abdelaziz¹,

El-Dessouki²

2013

IJISA

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Abstract-Many techniques are used for Transient Stability assessment (TSA) of synchronous generators encompassing traditional time domain state numerical integration, Lyapunov based methods, probabilistic approaches and Artificial Intelligence (AI) techniques like pattern recognition and artificial neural networks. This paper examines another two proposed artificial intelligence techniques to tackle the transient stability problem. The first technique is based on the Inductive Inference Reasoning (IIR) approach which belongs to a particular family of machine learning from examples. The second presents a simple fuzzy logic classifier system for TSA. Not only steady state but transient attributes are used for transient stability estimation so as to reflect machine dynamics and network changes due to faults.The two techniques are tested on a standard test power system. The performance evaluation demonstrated satisfactory results in early detection of machine instability. The advantage of the two techniques is that they are straightforward and simple for on-line implementation.

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“…disturbance has been assessed [1]- [4]. In [1] probabilistic transient stability indices for each line are also developed.…”

mentioning

confidence: 99%

“…In [1] probabilistic transient stability indices for each line are also developed. However, the dynamic behaviour of each specific generator is not assessed.…”

mentioning

confidence: 99%