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Small-Signal Stability Analysis

1997
Ever since Hendrik Bode of Bell Laboratories conceived and scribbled down the concept of the feedback amplifier on a page of the New York Times while going to work in the mid-1930s, applications of feedback contol theory and techniques have been found in almost every conceivable field of study.
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Small-signal stability monitoring using PMU

2014 IEEE International Energy Conference (ENERGYCON), 2014
The paper presents results of the research devoted to PMU-based power system small-signal stability monitoring. Proposed method allows tracking in-phase groups of generators and critical generators in the groups by analyzing low-frequency oscillations. Further developed, method is able to identify proximity to power system stability boundary.
Pavel Chusovitin, Andrey Pazderin
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Neural network assessment of small signal stability

1994 Proceedings of Canadian Conference on Electrical and Computer Engineering, 1994
Neural network (NN) techniques have been recently applied to several power system problems. So far the most common types of neural networks used in the power field have been the layered perceptron, trained with a backpropagation algorithm (supervised learning), and Kohonen's self-organizing feature maps (unsupervised learning).
null de Lima, null Alden
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Small Signal Stability of an Unregulated Power System

2007 Thirty-Ninth Southeastern Symposium on System Theory, 2007
Small signal stability is the ability of the power system to maintain synchronism under small perturbations. Such perturbations occur continuously on the system because of the small variations in load and generation where the system continuously adjusts itself to changing conditions.
Vikas Singhvi, S. Mark Halpin
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Neural Network Based Assessment of Small-Signal Stability

International Journal of Modelling and Simulation, 2007
This paper presents a neural network (NN) based approach for the assessment of small-signal stability of single-machine infinite bus power system by predicting the modal components of the local mode. Two types of feedforward NNs were examined, namely, the radial basis function neural network (RBFNN) and back propagation neural network (BPNN). The input
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Relationship of chaos and small signal stability region

Canadian Conference on Electrical and Computer Engineering 2004 (IEEE Cat. No.04CH37513), 2004
In this paper, chaotic phenomena and its impact on the small signal stability region (SSSR) of power systems are studied. A typical period-3 trajectory in a simple power system is presented for the first time. Theorem Sarkovskii and Theorem Li-Yorke are used to identify the existence of chaos in power systems. This method can avoid the confusion caused
null Jia Hongjie   +4 more
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An OPF Methodology to Ensure Small-Signal Stability

IEEE Transactions on Power Systems, 2011
This paper presents a security redispatching procedure that allows achieving an appropriate security level in terms of small-signal rotor angle stability. The proposed methodology is based on an OPF problem that explicitly considers security limits through stressed loading conditions.
Rafael Zarate-Minano   +2 more
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Small Signal Stability Of A Microgrid With Parallel Connected Distributed Generation

Intelligent Automation & Soft Computing, 2010
Abstract Distributed Generation, or DG, involves utilization of small generators that are distributed in a power network, to supply the electric power demands of utility customers. This paper presents the small signal analysis of droop based generation control schemes for pazallel connected DG inverters comprising of active power-frequency and reactive
Mahesh S. Illindala, Giri Venkataramanan
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Probabilistic Analysis of Power System Small Signal Stability Region

2005 International Conference on Control and Automation, 2005
With the deregulation of power industry in many countries, the traditionally vertically integrated power systems have been experiencing dramatic changes leading to competitive electricity markets. Power system planning in such an environment are now facing increasing requirements and challenges because of the deregulation. The traditional deterministic
Pang, C. K.   +3 more
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Field performance of ambient modal estimation in small signal stability

2015 IEEE International Workshop on Applied Measurements for Power Systems (AMPS), 2015
Small signal stability is one focus of Wide Area Measurement Systems (WAMS). WAMS systems are becoming more widespread, driven by availability of synchrophasor data from Phasor Measurement Units (PMUs). In this paper, two methods capable of performing real-time small signal stability monitoring is evaluated by application to simulated data. Performance
Tian Van Rooyen, Johan Rens, Jan Desmet
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