Situational awareness (SA) in simple terms is to understand the current state of the system and based on that understanding predict how system states are to evolve over time. Predictive modeling of power systems using...
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ISBN:
(纸本)9781467361279
Situational awareness (SA) in simple terms is to understand the current state of the system and based on that understanding predict how system states are to evolve over time. Predictive modeling of power systems using conventional methods is time consuming and hence not well suited for real-time operation. In this study, neural network (NN) based non-linear predictor is used to predict states of power system for future time instance. Required control signals are computed based on predicted state variables and control set points. In order to reduce computation the problem is decoupled and solved in a cellular array of NNs. The cellular neural network (CNN) framework allows for accurate prediction with only minimal information exchange between neighboring predictors. The predicted states are then used in computing stability metrics that give proximity to point of instability. The situational awareness platform developed using CNN framework extracts information from data for the next time instance i.e. a step ahead of time and maps this data with geographical coordinates of power system components. The geographic information system (GIS) provides a visual indication of operating status of individual components as well as that of the entire system.
Electrooculographic (EOG) artefacts are one of the most common causes of Electroencephalogram (EEG) distortion. In this paper, we propose a method for EOG Blinking Artefacts (BAs) detection and removal from EEG. Norma...
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ISBN:
(纸本)9781457702150
Electrooculographic (EOG) artefacts are one of the most common causes of Electroencephalogram (EEG) distortion. In this paper, we propose a method for EOG Blinking Artefacts (BAs) detection and removal from EEG. Normalized Correlation Coefficient (NCC), based on a predetermined BA template library was used for detecting the BA. Ensemble Empirical Mode Decomposition (EEMD) was applied to the contaminated region and a statistical algorithm determined which Intrinsic Mode Functions (IMFs) correspond to the BA. The proposed method was applied in simulated EEG signals, which were contaminated with artificially created EOG BAs, increasing the Signal-to-Error Ratio (SER) of the EEG Contaminated Region (CR) by 35dB on average.
In this paper, the key-frame extraction for video clips which are captured by smart phones are investigated. A weighted temporal consistent fuzzy clustering technology is used to cluster the video frames. The image-le...
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ISBN:
(纸本)9781479927456
In this paper, the key-frame extraction for video clips which are captured by smart phones are investigated. A weighted temporal consistent fuzzy clustering technology is used to cluster the video frames. The image-level feature and the orientation information are combined into the feature vector and the accelerate values are used to determine the weight. Such a method sufficiently exploits the spatio-temporal characterizes of the video clips captured by smart phones. The algorithm is implemented in a Sumsung Nexus S smart phone and we make an extensive experimental validation.
作者:
Mojtaba KhanabadiSukumar KamalasadanPower
Energy and Intelligent Systems Laboratory (PEISL) Department of Electrical and Computer Engineering University of North Carolina at Charlotte
This paper propose a method for day-ahead optimization of distribution system with Distributed Energy Resources (DER's) and energy storage devices that allows a) increase market efficiency and b) damping the varia...
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ISBN:
(纸本)9781479912537
This paper propose a method for day-ahead optimization of distribution system with Distributed Energy Resources (DER's) and energy storage devices that allows a) increase market efficiency and b) damping the variations of DER's. The objective is to utilize energy storage to damp the variations in the grid considering market price and to increase the grid efficiency. First, the implementation of day-ahead optimization that will determine which generation unit including DER's should be utilized using next 24 hour load taking into consideration of renewable energy generation forecasting is discussed. Next, the utilization of energy storage to damp the energy variations in the grid is evaluated. The problem is formulated as Nonlinear Programming (NLP) with the objective of maximizing the social welfare of the grid. The results show that the proposed method can successfully fulfill the overall objectives.
In this paper real-time modeling and simulation of complete closed loop control of doubly fed induction generator (DFIG) for wind generation system is presented. Decoupled active power and reactive power control of DF...
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ISBN:
(纸本)9781479912537
In this paper real-time modeling and simulation of complete closed loop control of doubly fed induction generator (DFIG) for wind generation system is presented. Decoupled active power and reactive power control of DFIG is realized using the flux oriented vector control. Inner and outer loop controller at rotor side and the grid side converter is presented for the closed loop control of the DFIG using real-time digital simulator. The simulation is carried on OPAL-RT digital simulator which is based on RT-LAB platform with the models build in Simulink. Further full closed loop models are evaluated in an experimental test bed for the step response of active and reactive power (P and Q) change. The real-time modeling and evaluation shows the capability of fully closed loop control and has greater impact on real-world applications.
Integrating large photovoltaic (PV) plants into the grid poses challenges to maintaining the system's stability during small and large disturbances. A PV system's output power fluctuates according to the weath...
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ISBN:
(纸本)9781479912537
Integrating large photovoltaic (PV) plants into the grid poses challenges to maintaining the system's stability during small and large disturbances. A PV system's output power fluctuates according to the weather conditions (irradiance and temperature), season, and geographic location. The power fluctuations of the PV plants raise frequency and voltage stability issues. This paper presents the impact of a large PV plant on the frequency stability of a power system under small and large disturbances. With automatic generation control and phasor measurement unit information, the power generations of conventional generators are adjusted to mitigate the frequency deviation. Furthermore, the effects of increased PV penetration in a given power system area are examined.
This paper offers a new nonlinear sliding surface to achieve robustness and high performance for uncertain MIMO linear systems. The proposed method improves the transient performance and steady state accuracy simultan...
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In this paper, the theory of a nonlinear control technique, i.e., the composite nonlinear feedback control is considered for robust tracking of a class of linear systems with time varying uncertain parameters and dist...
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This paper presents a novel real-time super-resolution (SR) method using directionally adaptive image interpolation and image restoration. The proposed interpolation method estimates the edge orientation using steerab...
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ISBN:
(纸本)9781479923427
This paper presents a novel real-time super-resolution (SR) method using directionally adaptive image interpolation and image restoration. The proposed interpolation method estimates the edge orientation using steerable filters and performs edge refinement along the estimated edge orientation. Bi-linear and bi-cubic interpolation filters are then selectively used according to the estimated edge orientation for reducing jagging artifacts in slanting edge regions. The proposed restoration method can effectively remove image degradation caused by interpolation using the directionally adaptive truncated constrained least-squares (TCLS) filter. The proposed method provides high-quality magnified images which are similar to or better than the result of advanced interpolation or SR methods without high computational load. Experimental results indicate that the proposed system gives higher peak-to-peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) values than the state-of-the-art image interpolation methods.
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