Surge Arrester

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Ioannis A. Stathopulos - One of the best experts on this subject based on the ideXlab platform.

  • estimation of the parameters of metal oxide gapless Surge Arrester equivalent circuit models using genetic algorithm
    Electric Power Systems Research, 2011
    Co-Authors: Christos Christodoulou, Ioannis F. Gonos, Ioannis A. Stathopulos
    Abstract:

    Abstract In the present work a genetic algorithm is developed, for the evaluation of the parameters of metal oxide gapless Surge Arrester circuit models, in order to minimize the error between the computed and the measured (by the manufacturer) peak value of the residual voltage for each given current waveform and level separately. Furthermore, the algorithm is modified in order to minimize the error simultaneously for all the given injected impulse (lightning and switching) current curves.

  • application of powell s optimization method to Surge Arrester circuit models parameters
    Energy, 2010
    Co-Authors: Christos Christodoulou, V Vita, George E Chatzarakis, Lambros Ekonomou, Ioannis A. Stathopulos
    Abstract:

    Powell’s optimization method has been used for the evaluation of the Surge Arrester models parameters. The proper modelling of metal-oxide Surge Arresters and the right selection of equivalent circuit parameters are very significant issues, since quality and reliability of lightning performance studies can be improved with the more efficient representation of the Arresters’ dynamic behavior. The proposed approach selects optimum Arrester model equivalent circuit parameter values, minimizing the error between the simulated peak residual voltage value and this given by the manufacturer. Application of the method in performed on a 120 kV metal oxide Arrester. The use of the obtained optimum parameter values reduces significantly the relative error between the simulated and manufacturer’s peak residual voltage value, presenting the effectiveness of the method.

  • assessment of Surge Arrester failure rate and application studies in hellenic high voltage transmission lines
    Electric Power Systems Research, 2010
    Co-Authors: Christos Christodoulou, Georgios P. Fotis, Lambros Ekonomou, Ioannis F. Gonos, Ioannis A. Stathopulos
    Abstract:

    Abstract The use of transmission line Surge Arresters to improve the lightning performance of transmission lines is becoming more common. Especially in areas with high soil resistivity and ground flash density, Surge Arresters constitute the most effective protection mean. In this paper a methodology for assessing the Surge Arrester failure rate based on the electrogeometrical model is presented. Critical currents that exceed Arresters rated energy stress were estimated by the use of a simulation tool. The methodology is applied on operating Hellenic transmission lines of 150 kV. Several case studies are analyzed by installing Surge Arresters on different intervals, in relation to the region's tower footing resistance and the ground flash density. The obtained results are compared with real records of outage rate showing the effectiveness of the Surge Arresters in the reduction of the recorded failure rate. The presented methodology can be proved valuable to the studies of electric power systems designers intending in a more effective lightning protection, reducing the operational costs and providing continuity of service.

  • Parameters' optimisation for Surge Arrester circuit models
    IET Science Measurement & Technology, 2010
    Co-Authors: C.a. Christodoulou, Georgios P. Fotis, Panagiotis Karampelas, Lambros Ekonomou, Ioannis A. Stathopulos
    Abstract:

    The appropriate modelling of metal-oxide (MO) Surge Arresters and the determination of the equivalent circuit parameters are significant issues, since the efficient representation of the Arresters dynamic behaviour by the models improves the quality and reliability of the lightning performance studies. In the current work, an optimisation algorithm for the evaluation of the Surge Arrester models parameters is developed. Optimum Arrester model equivalent circuit parameter values are selected, minimising the error between the simulated peak residual voltage value and this given by the manufacturer. The proposed methodology is applied on a 120 kV MO Arrester, presenting its effectiveness, reducing the relative error between the simulated and manufacturer-s peak residual voltage value around 50% with the use of the obtained optimum parameter values.

Hazlee Azil Illias - One of the best experts on this subject based on the ideXlab platform.

  • Analysis of discharge energy on Surge Arrester configurations in 132 kV double circuit transmission lines
    Measurement, 2019
    Co-Authors: Nor Hidayah Nor Hassan, Hazlie Mokhlis, Syahirah Abd Halim, Halim Abu Bakar, Hazlee Azil Illias, Vladimir Terzija
    Abstract:

    Abstract Surge Arrester has been proven to be the most effective application to provide optimum lightning protection for the transmission line. Thus, many works on optimizing lightning protection for transmission line have been conducted since the past. However, works on minimizing double circuit outages and Surge Arrester physical properties during transient overvoltages are less likely to be found. Therefore, in this work, several Surge Arrester configurations installed on a 132 kV double circuit transmission line were modelled using EMTP-RV to investigate their capability to withstand current and energy discharged by lightning strokes during back flashover phenomena. These configurations were then compared to determine the most effective protection design based on the actual tripping pattern recorded by the lightning detection system (LDS) in Malaysia. The selection was made by considering Arresters’ discharge energy due to variation in tower footing resistance, current magnitude, power frequency voltage, lightning tail time and front time, number of towers and span length. It was found that double circuit transmission line tripping can be completely eliminated by installing Surge Arresters at each phase conductor of one circuit. The selected Arresters configuration provides sufficient lightning protection to the transmission line and complies with the discharge energy capability requirement specified by the utility company in Malaysia, of 5.1 kJ/kV for maximum continuous operating voltage (MCOV).

  • measurement and modelling of leakage current behaviour in zno Surge Arresters under various applied voltage amplitudes and pollution conditions
    Energies, 2018
    Co-Authors: Nurul Ain Abdul Latiff, Ab Halim Abu Bakar, Hazlee Azil Illias, Sameh Ziad Ahmad Dabbak
    Abstract:

    In zinc oxide (ZnO) Surge Arresters, leakage current usually flows across the Arrester under normal operating condition. Leakage current is one of the factors which contribute towards degradation of Surge Arresters and therefore, it is very important to monitor the condition of Surge Arrester. In this work, the behaviour of leakage current in a ZnO Surge Arrester during normal operation, under different voltage amplitudes, wetness and pollution conditions was analysed. An 11 kV Surge Arrester model in three-dimensional space was subjected to finite element analysis (FEA) to determine the leakage current under different conditions. The results from the FEA model were compared with the measurement results to validate the model that has been developed. From comparison between the measurement and simulation results, physical parameters of a Surge Arrester that influence the leakage current under different conditions of the Surge Arrester were identified from the model. Through this work, a better understanding of leakage current behaviour can be attained, which may help in condition monitoring analysis on Surge Arrester in electrical utilities.

  • distribution of electric field in capacitor and Surge Arrester bushings
    IEEE International Conference on Power and Energy, 2012
    Co-Authors: Hazlee Azil Illias, Mohsin Ali Tunio, Ab Halim Abu Bakar, Hazlie Mokhlis
    Abstract:

    The electric field distribution in high voltage capacitor and Surge Arrester bushings is principally dependent on the geometry dimension and types of the materials used. The main target is to achieve a bushing design which has a good electric field stress control. In this paper, two-dimensional (2D) axial-symmetrical model geometries of high voltage capacitor and Surge Arrester bushings have been developed using finite element analysis (FEA) method, which is COMSOL Multiphysics software. These models have been used to obtain the electric field distribution in capacitor and Surge Arrester bushing models. The effects of the bushing permittivity and electrical conductivity, the width and length and the metallic interface on the electric field distribution in bushing structure were analysed. From this study, an understanding of electric field distribution in bushing geometry may be attained, which may help in designing high voltage bushing stress control.

Seyyedmeysam Seyyedbarzega - One of the best experts on this subject based on the ideXlab platform.

  • a new approach to electrical modeling of Surge Arrester considering temperature effect on v i characteristic
    Measurement, 2017
    Co-Authors: Seyyedmeysam Seyyedbarzega, Mostafa Mirzaie, Masume Khodsuz
    Abstract:

    Abstract The V-I characteristic of ZnO varistor which has been obtained from experimental test, is an important parameter to model Surge Arrester electrical behavior. Generally, in grid voltage, this characteristic depends on temperature variations. In this paper, an improved metal oxide Surge Arrester electrical model has been proposed under grid voltage. Temperature effects on Surge Arrester performance have been considered in the proposed model. Artificial neural network has been used to determine V-I characteristic at temperature variations. Therefore, in proposed model, the V-I characteristic of each varistor has been estimated based on applied voltage and operating temperature. To validate proposed model, laboratory setup and infrared thermal camera have been arranged and experimental tests results have been compared with simulation ones. Results revealed that there has been a good agreement between simulation and experimental results. Moreover, electrical behavior of Surge Arrester is predictable with high precision through the proposed artificial model.

  • Thermal balance diagram modelling of Surge Arrester for thermal stability analysis considering ZnO varistor degradation effect
    IET Generation Transmission & Distribution, 2016
    Co-Authors: Seyyedmeysam Seyyedbarzega, Mostafa Mirzaie
    Abstract:

    This study proposes a new method for modelling of metal-oxide Surge Arresters (MOSAs) thermal balance diagram based on power loss and heat dispersion curve. Adaptive network-based fuzzy inference system (ANFIS)-based method was offered to compute Surge Arrester power loss characteristic. Thermal stability (TS) of Surge Arrester, which is analysed by thermal balance diagram, has a great influence on their proper functions. MOSA material variation is an important factor that has an influence on its TS. Degradation factor (DF) was introduced as a new index in this study to represent material variations of MOSA. Therefore, applied voltage, temperature and DF were considered as inputs in ANFIS model to obtain accurate power loss which is a very important factor in TS characteristic. Heat dispersion curve was obtained as a main feature in the thermal balance diagram from Surge Arrester cooling curve. Degrading effect was considered using voltage and current measured from MOSA which are degraded by utilisation in the network. In addition, effect of assembling process has been considered by using new different varistors in experimental measurements. This study shows that the thermal balance diagram of Surge Arrester is predictable with a good accuracy by using artificial model.

  • metal oxide Surge Arrester condition monitoring based on analysis of leakage current components
    International Journal of Electrical Power & Energy Systems, 2015
    Co-Authors: Masume Khodsuz, Mostafa Mirzaie, Seyyedmeysam Seyyedbarzega
    Abstract:

    Abstract This paper presents proper indicators for evaluation of the Surge Arrester condition based on the leakage current analysis. Maximum amplitude of fundamental harmonic of the resistive leakage current (Imr1), maximum amplitude of third harmonic of the resistive leakage current (Imr3) and maximum amplitude of fundamental harmonic of the capacitive leakage current have been used as indicators for Surge Arrester condition monitoring. The effects of operating voltage fluctuation, third order of voltage harmonic, over-voltage and varistor aging have been investigated to show the ability of introduced indicators for accurate diagnostic of Arrester’s conditions. In order to have accurate values of stray capacitors, 3D-FEM has been used. Moreover, Surge Arrester model for calculating leakage current has been performed in ATP–EMTP. In addition, the signal processing has been done using MATLAB software. This study shows that the introduced indicators are proper criteria for Surge Arrester condition monitoring.

Sameh Ziad Ahmad Dabbak - One of the best experts on this subject based on the ideXlab platform.

  • measurement and modelling of leakage current behaviour in zno Surge Arresters under various applied voltage amplitudes and pollution conditions
    Energies, 2018
    Co-Authors: Nurul Ain Abdul Latiff, Ab Halim Abu Bakar, Hazlee Azil Illias, Sameh Ziad Ahmad Dabbak
    Abstract:

    In zinc oxide (ZnO) Surge Arresters, leakage current usually flows across the Arrester under normal operating condition. Leakage current is one of the factors which contribute towards degradation of Surge Arresters and therefore, it is very important to monitor the condition of Surge Arrester. In this work, the behaviour of leakage current in a ZnO Surge Arrester during normal operation, under different voltage amplitudes, wetness and pollution conditions was analysed. An 11 kV Surge Arrester model in three-dimensional space was subjected to finite element analysis (FEA) to determine the leakage current under different conditions. The results from the FEA model were compared with the measurement results to validate the model that has been developed. From comparison between the measurement and simulation results, physical parameters of a Surge Arrester that influence the leakage current under different conditions of the Surge Arrester were identified from the model. Through this work, a better understanding of leakage current behaviour can be attained, which may help in condition monitoring analysis on Surge Arrester in electrical utilities.

Christos Christodoulou - One of the best experts on this subject based on the ideXlab platform.

  • estimation of the parameters of metal oxide gapless Surge Arrester equivalent circuit models using genetic algorithm
    Electric Power Systems Research, 2011
    Co-Authors: Christos Christodoulou, Ioannis F. Gonos, Ioannis A. Stathopulos
    Abstract:

    Abstract In the present work a genetic algorithm is developed, for the evaluation of the parameters of metal oxide gapless Surge Arrester circuit models, in order to minimize the error between the computed and the measured (by the manufacturer) peak value of the residual voltage for each given current waveform and level separately. Furthermore, the algorithm is modified in order to minimize the error simultaneously for all the given injected impulse (lightning and switching) current curves.

  • application of powell s optimization method to Surge Arrester circuit models parameters
    Energy, 2010
    Co-Authors: Christos Christodoulou, V Vita, George E Chatzarakis, Lambros Ekonomou, Ioannis A. Stathopulos
    Abstract:

    Powell’s optimization method has been used for the evaluation of the Surge Arrester models parameters. The proper modelling of metal-oxide Surge Arresters and the right selection of equivalent circuit parameters are very significant issues, since quality and reliability of lightning performance studies can be improved with the more efficient representation of the Arresters’ dynamic behavior. The proposed approach selects optimum Arrester model equivalent circuit parameter values, minimizing the error between the simulated peak residual voltage value and this given by the manufacturer. Application of the method in performed on a 120 kV metal oxide Arrester. The use of the obtained optimum parameter values reduces significantly the relative error between the simulated and manufacturer’s peak residual voltage value, presenting the effectiveness of the method.

  • assessment of Surge Arrester failure rate and application studies in hellenic high voltage transmission lines
    Electric Power Systems Research, 2010
    Co-Authors: Christos Christodoulou, Georgios P. Fotis, Lambros Ekonomou, Ioannis F. Gonos, Ioannis A. Stathopulos
    Abstract:

    Abstract The use of transmission line Surge Arresters to improve the lightning performance of transmission lines is becoming more common. Especially in areas with high soil resistivity and ground flash density, Surge Arresters constitute the most effective protection mean. In this paper a methodology for assessing the Surge Arrester failure rate based on the electrogeometrical model is presented. Critical currents that exceed Arresters rated energy stress were estimated by the use of a simulation tool. The methodology is applied on operating Hellenic transmission lines of 150 kV. Several case studies are analyzed by installing Surge Arresters on different intervals, in relation to the region's tower footing resistance and the ground flash density. The obtained results are compared with real records of outage rate showing the effectiveness of the Surge Arresters in the reduction of the recorded failure rate. The presented methodology can be proved valuable to the studies of electric power systems designers intending in a more effective lightning protection, reducing the operational costs and providing continuity of service.