2010
DOI: 10.1002/etep.444
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Dynamic voltage stability prediction of power systems by a new feature selection technique and probabilistic neural network

Abstract: SUMMARYWith continued increase in the electrical energy demand and tendency towards maximizing economic benefits in power transmission system, especially in the liberalized electricity markets, real-time voltage security analysis has become a growing concern in electric power utilities. However, static analysis methods, such as power flow based methods, have difficulty in evaluating voltage stability and some voltage stability feasible region boundaries may not be correctly analyzed by these methods due to the… Show more

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Cited by 9 publications
(4 citation statements)
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“…It has strong fault tolerance and robustness. If there is enough sample data, PNN can converge to a Bayesian classifier without the local minimum problem of a back‐propagation (BP) neural network .…”
Section: Methodsmentioning
confidence: 99%
“…It has strong fault tolerance and robustness. If there is enough sample data, PNN can converge to a Bayesian classifier without the local minimum problem of a back‐propagation (BP) neural network .…”
Section: Methodsmentioning
confidence: 99%
“…The output is presented in a graphical form showing the high probability and low probability ranges of the power system load margin Probabilistic power flow is a powerful tool used to evaluate the impact of uncertainties in power system operations and planning. [17,18] Early computational methods for the probabilistic power flow include the convolution method and the Monte Carlo method with simple sampling. In order to alleviate the computational burden of probabilistic power flow, several methods such as the cumulant method, the fast Fourier transformation method, the point estimation method, the Von Mises method and the first-order second-moment method were considered.…”
Section: Probabilistic Cpflowmentioning
confidence: 99%
“…Hence, there is always a possibility of voltage instability for voltage collapse (VC) [2,3]. Therefore, the prediction of a voltage collapse situation has become extremely important for the operation and planning of the supply system [4,5]. The voltage stability problem happens because of the reactive power mismatch between the generation and demand.…”
Section: Introductionmentioning
confidence: 99%
“…The most severe contingencies are found to be as line outages(8)(9),(11)(12)(13),(17)(18),(23)(24)(25),(25)(26)(27),(26)(27)(28)(29)(30),(30)(31)(32)(33)(34)(35)(36)(37)(38),(4)(5), (64-65) and (100-103), and lines (15-13),,,,, (45-46),, (65-38) and (65-66), respectively are the most stressed lines under these contingency conditions. Under the maximum permitted MVA loading, the values of Lmn, FVSI, and Lqp's line indices should be equal to or less than unity.…”
mentioning
confidence: 99%