The Experts below are selected from a list of 29424 Experts worldwide ranked by ideXlab platform
Roberto Villaverde - One of the best experts on this subject based on the ideXlab platform.
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A model for the seismic reliability assessment of Electric Power Transmission systems
Reliability Engineering & System Safety, 1996Co-Authors: A.h.-s. Ang, J.a. Pires, Roberto VillaverdeAbstract:A comprehensive model to evaluate the seismic reliability of Electric Power Transmission systems is presented. The model provides information on the probability of structural failure of critical equipment at the major substations, from which the corresponding probabilities of Power disruption to a given service area are determined. With the proposed methodology earthquake ground motions are defined as stochastic processes, and seismic capacities of Electrical equipment are determined on the basis of available test data and simple modeling, from which fragility functions of critical equipment and specific substations are developed. Probabilities of Power disruption resulting from network disconnectivity and abnormal Power flow are assessed through Monte Carlo simulation. As a case study, the proposed model is applied to the Electric Power network in San Francisco and vicinity under the 1989 Loma Prieta earthquake, and the probabilities of Power interruption are contrasted with the actual Power failures observed during that earthquake.
Yan Chen - One of the best experts on this subject based on the ideXlab platform.
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IGARSS - An Improved Stagewise Weak Orthogonal Matching Pursuit Method for Electric Power Transmission Tower Evaluation Using Differential Sar Tomography
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019Co-Authors: Chen Jing, Yan Chen, Yunping ChenAbstract:Differential SAR tomography (D-TomoSAR) extends the SAR tomography to the time dimension for four-dimension imaging. Hence, it is a Powerful tool for retrieving the four-dimensional structure of buildings in urban area. D-TomoSAR can also be applied to Electric Power Transmission tower evaluation. However, among the previous D-TomoSAR estimators, some reduces the azimuth-range resolution and has large sidelobe while the others cost more computation to retrieve. To overcome aforementioned drawbacks, this paper proposed an improved Stagewise Weak Orthogonal Matching Pursuit (SWOMP) based on twice iterations and scatter number estimators to calculate the height and deformation velocity of the Electric Power Transmission tower. Through simulations and real data (TerraSAR-X) experiments, a comparison between the SWOMP, adaptive beamforming (Capon) and compressive sensing (CS) was carried out. The results indicate that the proposed method obtains less sidelobe than SWOMP and Capon. In addition, this method obtains similar result to CS in less computation time. the results have demonstrated the advantages of this method.
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IGARSS - Height Estimation of Electric Power Transmission Tower Based on Tomography SAR Imaing Method using Staring Spotlight Mode Terrasar-X Data
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018Co-Authors: Shaochun Su, Baolong Wu, Songhai Fan, Yiyu Gong, Yan Chen, Ling TongAbstract:Tomography SAR (TomoSAR) imaging can distinguish different scatterers in the same pixel using their spatial frequency spectrum difference. Sparse scatterers case located in one pixel can be imaged using high resolution spectral estimation algorithm or compressed sensing (CS) algorithm. For the pixel where the top position of the Electric Power Transmission tower is located, it can be seen this sparse scatterers case. In this paper, TomoSAR imaging methods based on MUSIC algorithm, ESPRIT algorithm and CS algorithm are used to calculate the height of the Electric Power Transmission tower, respectively. TerraSAR-X data is used for experiment. The experimental results demonstrate the ESPRIT algorithm has better accuracy than the other two algorithms for the height estimation of the study Electric Power Transmission tower. Basically, this accuracy can meet the requirement in practical applications.
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Revised Improved DINSAR Algorithm for Monitoring the Inclination Displacement of Top Position of Electric Power Transmission Tower
IEEE Geoscience and Remote Sensing Letters, 2018Co-Authors: Baolong Wu, Ling Tong, Yan ChenAbstract:In the Electric Power Transmission corridor areas, the ground surface deformation will influence the inclination of the Electric Power Transmission towers even after the collapse of the towers. Due to the layover, traditional differential synthetic aperture radar interferometry (DINSAR) cannot be used to obtain the inclination displacement of the general line shape and vertical coherent objects such as Electric Power Transmission towers fixed vertically in the ground. Based on the improved DINSAR (IM-DINSAR) model, this letter proposes a revised implementing algorithm for IM-DINSAR model. It can remove the top-bottom vertical-height interferometry phase of the tower (caused by the height of the tower itself, similar to the flat earth interferometry phase in traditional DINSAR) by only using the information of every tower itself. This is different from the implementing algorithm proposed. Then, we use the residual differential interferometry phase after phase unwrapping to obtain the inclination displacement of top position of the tower. Moreover, this letter analyzes atmospheric phase, noise, and multitemporal series cases in IM-DINSAR model. Simulation results demonstrate the effectiveness of the model proposed in this letter.
A.h.-s. Ang - One of the best experts on this subject based on the ideXlab platform.
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A model for the seismic reliability assessment of Electric Power Transmission systems
Reliability Engineering & System Safety, 1996Co-Authors: A.h.-s. Ang, J.a. Pires, Roberto VillaverdeAbstract:A comprehensive model to evaluate the seismic reliability of Electric Power Transmission systems is presented. The model provides information on the probability of structural failure of critical equipment at the major substations, from which the corresponding probabilities of Power disruption to a given service area are determined. With the proposed methodology earthquake ground motions are defined as stochastic processes, and seismic capacities of Electrical equipment are determined on the basis of available test data and simple modeling, from which fragility functions of critical equipment and specific substations are developed. Probabilities of Power disruption resulting from network disconnectivity and abnormal Power flow are assessed through Monte Carlo simulation. As a case study, the proposed model is applied to the Electric Power network in San Francisco and vicinity under the 1989 Loma Prieta earthquake, and the probabilities of Power interruption are contrasted with the actual Power failures observed during that earthquake.
André Luís Marques Marcato - One of the best experts on this subject based on the ideXlab platform.
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Static expansion planning of Electric Power Transmission systems using sensitivity indice
2017 IEEE Manchester PowerTech, 2017Co-Authors: Isabela M. Mendonça, Bruno Henriques Dias, André Luís Marques Marcato, C. S. Ivo, Edimar J. De OliveiraAbstract:This paper presents a proposal aimed at the initialization of the multimodal optimization process to solve the problem of static expansion planning of Electric Power Transmission systems. In order to, the proposed methodology uses a constructive heuristic algorithm based on an indice, in which the expansion decisions are relaxed and represented through the hyperbolic tangent function. The Electric Power Transmission network is represented by a linearized load flow, direct current model (DC). The final expansion plans obtained by the proposed methodology were enough, showing that the use of the hyperbolic tangent function added to the adopted heuristic yielded an effective decision strategy. IEEE 24-bus system, real equivalent South Brazilian system and real Colombian System are tested by the methodology.
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Identification of relevant routes for static expansion planning of Electric Power Transmission systems
Electric Power Systems Research, 2016Co-Authors: Isabela M. Mendonça, Bruno Henriques Dias, Ivo C. Silva Junior, André Luís Marques MarcatoAbstract:Abstract This study presents a new strategy aimed at the search space reduction and initialization of the multimodal optimization process to solve the problem of static expansion planning of Electric Power Transmission systems. To this end, the proposed methodology first uses a constructive heuristic algorithm based on a portfolio of indices, in which the expansion decisions are relaxed and represented through the hyperbolic tangent function. By considering different slopes of the hyperbolic tangent function, within a predetermined range, associated with the main sensitivity indices existing in the literature, it is possible to extract a reduced set of expansion alternatives and feasible solutions. Thus, based on the heuristic information obtained, a bio-inspired algorithm is used to obtain a final expansion plan for Electric Power Transmission systems. The Electric Power Transmission network is represented by a linearized load flow, direct current (DC) model. The final expansion plans obtained by the proposed methodology were satisfactory, showing that the use of the hyperbolic tangent function added to the adopted heuristics yielded an effective decision strategy.
Ling Tong - One of the best experts on this subject based on the ideXlab platform.
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IGARSS - Height Estimation of Electric Power Transmission Tower Based on Tomography SAR Imaing Method using Staring Spotlight Mode Terrasar-X Data
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018Co-Authors: Shaochun Su, Baolong Wu, Songhai Fan, Yiyu Gong, Yan Chen, Ling TongAbstract:Tomography SAR (TomoSAR) imaging can distinguish different scatterers in the same pixel using their spatial frequency spectrum difference. Sparse scatterers case located in one pixel can be imaged using high resolution spectral estimation algorithm or compressed sensing (CS) algorithm. For the pixel where the top position of the Electric Power Transmission tower is located, it can be seen this sparse scatterers case. In this paper, TomoSAR imaging methods based on MUSIC algorithm, ESPRIT algorithm and CS algorithm are used to calculate the height of the Electric Power Transmission tower, respectively. TerraSAR-X data is used for experiment. The experimental results demonstrate the ESPRIT algorithm has better accuracy than the other two algorithms for the height estimation of the study Electric Power Transmission tower. Basically, this accuracy can meet the requirement in practical applications.
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Revised Improved DINSAR Algorithm for Monitoring the Inclination Displacement of Top Position of Electric Power Transmission Tower
IEEE Geoscience and Remote Sensing Letters, 2018Co-Authors: Baolong Wu, Ling Tong, Yan ChenAbstract:In the Electric Power Transmission corridor areas, the ground surface deformation will influence the inclination of the Electric Power Transmission towers even after the collapse of the towers. Due to the layover, traditional differential synthetic aperture radar interferometry (DINSAR) cannot be used to obtain the inclination displacement of the general line shape and vertical coherent objects such as Electric Power Transmission towers fixed vertically in the ground. Based on the improved DINSAR (IM-DINSAR) model, this letter proposes a revised implementing algorithm for IM-DINSAR model. It can remove the top-bottom vertical-height interferometry phase of the tower (caused by the height of the tower itself, similar to the flat earth interferometry phase in traditional DINSAR) by only using the information of every tower itself. This is different from the implementing algorithm proposed. Then, we use the residual differential interferometry phase after phase unwrapping to obtain the inclination displacement of top position of the tower. Moreover, this letter analyzes atmospheric phase, noise, and multitemporal series cases in IM-DINSAR model. Simulation results demonstrate the effectiveness of the model proposed in this letter.