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The majority of recent large-scale blackouts have been caused by voltage instability. A prompt on-line assessment of voltage stability for preventive corrective control of electric power systems is one of the key objectives for Control centers. The use of classical approximation methods alone is complicated. Therefore, several modified methods combined with machine learning algorithms enabling security...
Majority of recent large-scale blackouts have been caused by voltage instability. This paper proposes new algorithms and implementation principles of an intelligent emergency control based on machine learning models and decentralized adaptive models that can effectively prevent voltage instability before they lead to major blackouts and overall collapse of the system. The proposed algorithms have...
Secondary substations are usually equipped with short-circuit detectors only indicating that an over-current has occurred for a given line. In case of a fault, further information about type and location is required to recover an assured grid operation as fast as possible. Conventional algorithms for fault detection used in high voltage grids are not well suited because of the high uncertainties regarding...
Recent examples of large-scale blackouts in North American 2003, Moscow in 2005 and Europa in 2003 and 2006 have clearly demonstrated that secure operation of large interconnected power systems cannot be achieved without full understanding of the system behavior during abnormal and emergency conditions. This paper proposes an intelligent approach to the system monitoring and control with the goal...
Recent blackouts in the USA, Europe and Russian Federation have clearly demonstrated that secure operation of large interconnected power systems cannot be achieved without full understanding of the system behavior during abnormal and emergency conditions. Current practice of managing separate parts of the system without knowledge of the ‘full picture’ will lead to even greater blackouts. This paper...
Modern electricity grids continue to be vulnerable to large-scale blackouts. During the past ten years events in North America, Europe and Asia have clearly demonstrated an increasing likelihood of large blackouts. If pre-emergency conditions are identified, preventive actions can be taken, and large-scale blackouts avoided. In the current competitive environment, such conditions may not be easily...
The paper presents an intelligent approach to monitoring of the expected operating conditions on the basis of the self-organizing Kohonen maps and k-means method. The suggested approach makes it possible to effectively follow changes in the current and expected operating conditions and predict heavy load conditions and/or development of emergency conditions almost in real time.
The paper presents the two-stages adaptive approach for short-term forecast of parameters of expected operating conditions. The first stage involves decomposition of the time series into intrinsic modal functions and subsequent application of the Hilbert transform. During the second stage the computed modal functions and amplitudes are employed as input functions for artificial neural networks. Their...
The paper presents new approaches for effective organization of the system of IPS operating condition monitoring The presence of efficient system for wide-scale monitoring and forecasting of electric power system (EPS) is one of the key conditions for reliable work of systems intended for EPS operation and emergency control.
The paper presents the results of experimental studies of forecasting prices in the liberalized electricity market. To increase the accuracy price forecasting proposes the hybrid models based on joint usage of the neural network technologies together with Hilbert-Huang Transform. The application of developed hybrid models for hourly prices forecasting has demonstrated the whole accuracy increase forecast.
A comparison between the two tracers of magnetic field mirror asymmetry in solar active regions – twist and current helicity – is presented. It is shown that for individual active regions these tracers do not possess visible similarity but averaging by time over the solar cycle, or by latitude, reveals similarities in their behavior. The main property of the data set is antisymmetry over the solar...
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