Fast Transient Security Assessment

“…Traditionally, power system transient stability issues have been evaluated by considering the rotor angle stability of synchronous generators [2][3][4][5][6][7]. The effects of wind generator on rotor angle stability and power oscillations have been attempted in [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Transient Stability Enhancement of the Power System with Wind Generation

Mohandas

Chandel

2011

TELKOMNIKA

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“…The Runge-Kutta numerical integration approach is applied to find the class of each sample. A sample is classified as unstable if the rotor angle of the critical generator which is chosen to be G3 reaches 180 degrees within one second [4], otherwise the sample is classified as stable.…”

Section: Generation Of Training Set Samplesmentioning

confidence: 99%

“…The pattern recognition methodology was used in the TS problem by some authors [4,5]. In [4], different classifiers like the Bayes Quadratic classifier, Polynomial discriminant method and Nearest Neighbour decision rule were used for fast security assessment. The K-means clustering pattern recognition technique was also used in out-of-step detection [5].…”

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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“…These days study of transient stability of a system is important not only for design and coordination of protection scheme at the planning stage but also for security control [1] during system operation. In security control the effects of a large number of contingencies (e.g., faults or outages) on the current half (no damping) of the s-plane.…”

Section: Introductionmentioning

confidence: 99%

A new method for screening the contingencies before dynamic security assessment of a multimachine power system

Salam

Ahmed

2006

Int Trans Elec Energy Syst

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SUMMARYThis paper proposes a novel method for identifying the faults that would impact the transient stability of a multimachine power system. In this method each synchronous machine's swing equation is formulated in the form of a closed loop transfer function in Laplace domain (s-plane). The duration of a fault under consideration, and the changes of maximum electrical power output of the machine during and after the fault are included in the same transfer function. Then the narrowest possible range containing the real part of the 'dominant' root of each machine's characteristic equation is identified on the real axis of s-plane. This is because it is the real part that decides whether the transient response would sustain or subside. If the average of the lower limits of the real parts of dominant roots for all the machines is in the left half but very close to the imaginary axis (poorly damped) or in the right half of the s-plane (absence of damping), the system as a whole is unstable under the considered fault. The proposed method is extremely fast. An extensive digital simulation test and comparison of the proposed method with a conventional step-by-step (SBS) numerical integration method has been done on a 25-machine practical system belonging to Bangladesh Power Development Board (BPDB), and good agreements observed for an array of fault scenarios. The faults for which the aforesaid average lower limit is in the left half plane but its distance from imaginary axis is marginally above or below an established minimum value, can be further investigated by a detailed time domain simulation (TDS) transient stability analysis technique. Thus the proposed method is useful for real-time screening of the contingencies (e.g., faults) before being subjected to a full-scale dynamic security analysis in a power system of any size with any number of machines.

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Fast Transient Security Assessment

Cited by 4 publications

References 0 publications

Transient Stability Enhancement of the Power System with Wind Generation

Transient Stability Enhancement of the Power System with Wind Generation

Transient Stability Assessment using Decision Trees and Fuzzy Logic Techniques

A new method for screening the contingencies before dynamic security assessment of a multimachine power system

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