The Experts below are selected from a list of 29979 Experts worldwide ranked by ideXlab platform
C. K. Lim - One of the best experts on this subject based on the ideXlab platform.
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Probability assessment of Turbine-Generator shaft torque following severe disturbances on the system supply
IEEE Transactions on Energy Conversion, 1999Co-Authors: Thomas James Hammons, C. K. LimAbstract:This paper presents a probabilistic approach to the evaluation of the maximum torsional torques induced in Turbine Generator shafts following severe supply network disturbances with clearance, during high-speed auto-reclosure, and resulting from mal-synchronisation. In this context the investigations have been conducted on a range of machines taking into consideration the uncertainty of several factors associated with the practical operation of the power system. The results of these investigations are presented in the form of discrete probability distributions of the maximum torsional torques induced in the Turbine-Generator shaft sections. Also examined is the effect on maximum torsional torques of employing detailed (2d, 3q) and reduced (1d, 1q) damper models of the synchronous Generator. First, simulation of Turbine-Generators with up to 9 masses, using detailed and reduced rotor circuit models where L-L-L, L-L-G, L-L and L-G faults are cleared at fault current zeros and governor and AVR effects are represented, are summarised. Then, probability of disturbances and peak shaft torque at Turbine-Generator shaft sections following bolted stator terminal short circuits and as a function of fault clearing time and following mal-synchronisation for a range of typical machines are presented. An approach to evaluate maximum Turbine-Generator shaft torques considering the uncertainties associated with the occurrence of disturbances and their attendant protective switching sequences is outlined
Thomas James Hammons - One of the best experts on this subject based on the ideXlab platform.
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Probability assessment of Turbine-Generator shaft torque following severe disturbances on the system supply
IEEE Transactions on Energy Conversion, 1999Co-Authors: Thomas James Hammons, C. K. LimAbstract:This paper presents a probabilistic approach to the evaluation of the maximum torsional torques induced in Turbine Generator shafts following severe supply network disturbances with clearance, during high-speed auto-reclosure, and resulting from mal-synchronisation. In this context the investigations have been conducted on a range of machines taking into consideration the uncertainty of several factors associated with the practical operation of the power system. The results of these investigations are presented in the form of discrete probability distributions of the maximum torsional torques induced in the Turbine-Generator shaft sections. Also examined is the effect on maximum torsional torques of employing detailed (2d, 3q) and reduced (1d, 1q) damper models of the synchronous Generator. First, simulation of Turbine-Generators with up to 9 masses, using detailed and reduced rotor circuit models where L-L-L, L-L-G, L-L and L-G faults are cleared at fault current zeros and governor and AVR effects are represented, are summarised. Then, probability of disturbances and peak shaft torque at Turbine-Generator shaft sections following bolted stator terminal short circuits and as a function of fault clearing time and following mal-synchronisation for a range of typical machines are presented. An approach to evaluate maximum Turbine-Generator shaft torques considering the uncertainties associated with the occurrence of disturbances and their attendant protective switching sequences is outlined
Xinping Chen - One of the best experts on this subject based on the ideXlab platform.
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Wind Turbine Generator systems. The supply chain in China: Status and problems
Renewable Energy, 2009Co-Authors: Xinping ChenAbstract:Wind Turbine Generator systems (WTGS) manufacture is booming in China. The key to success of the wind Turbine Generator industry is to construct the supply chain. However few papers focus on the supply chain. In China, many enterprises have started to manufacture the wind Turbine Generator system and the components. The supply chain of the wind Turbine Generator system is not well established in China. Many key components of WTGS still need to be imported, such as the principal axis bearing and electrical control systems. We review the status of wind Turbine Generator system manufacturing and analyze the problems of the supply chain in China. We analyze the problems about the supply chain from a macroscopic view. The aims of this paper are to let more scholars and experts know the status of the WTGS supply chain and to do something for building a successful industry in China.
Sherif O. Faried - One of the best experts on this subject based on the ideXlab platform.
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Stochastic evaluation of Turbine-Generator shaft torsional torques
IEEE Transactions on Energy Conversion, 1997Co-Authors: R. Billlinton, S. Aboreshaid, Sherif O. FariedAbstract:This paper presents a probabilistic approach to the evaluation of the maximum torsional torques induced in Turbine-Generator shafts during high-speed reclosing of system faults. In this context, investigations have been conducted on a large Turbine-Generator model taking into consideration the uncertainty of several factors associated with the practical operation of a power system. The results of these investigations are presented in the form of discrete probability distributions of the maximum torsional torques induced in the Turbine-Generator shaft sections.
C. Grande-moran - One of the best experts on this subject based on the ideXlab platform.
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Torsional system parameter identification of Turbine-Generator sets
IEEE Transactions on Energy Conversion, 1997Co-Authors: M.d. Brown, C. Grande-moranAbstract:Accurate low order linear models that represent the torsional motion of Turbine-Generator sets are needed for determining shaft torsional responses resulting from subsynchronous resonance conditions, electric system faults and planned/unplanned switching actions in the electric network. This paper outlines the theoretical background and the methodology used for identification of linear state-space models of Turbine-Generator systems. These analytic mass-spring-damper models are lumped-parameter approximations, which in reality represent a continuous nonlinear system. For transient torque studies these models are adequate representations of the torsional dynamics of interest. Reduced analytic models of any particular Turbine-Generator unit, however, usually do not match precisely the behavior of the real machine. The paper describes an optimization method that can give a more precise representation of a particular Turbine-Generator based on actual plant tests and an assumed model of that unit. The parameter identification process is illustrated using plant test data from a 618 MVA Turbine-Generator unit.
