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19th International Conference on Electrical Machines and Systems (ICEMS)

作者： Boonseng, Trinnapop Sarasiri, Nuapett Mahanakorn Univ Technol Dept Elect Power Engn Bangkok Thailand

ISBN: (纸本)9784886860989

This paper presents the modeling and simulation of electrical systems for railway transportation utilizing digsilent PowerFactory software embedded application called digsilent programming language (DPL). The DPL command can be directly used to control single line grid based on tractive effort curve (TE), braking effort curve (BE) and train-speed profile. The simulations of train movements in this research have been considered as a sequence of three operating modes, namely accelerating mode, constant mode and braking mode. The simulation results show the electric power and phase voltage and distance varying by time and speed. This characteristic design leads to specific outcomes in order to improve railway transportation system and the further quality of railway system research.

关键词： digsilent programming language railway system train dynamic simulation model

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Dynamic Railway Simulation Using digsilent programming language

Dynamic Railway Simulation Using DIgSILENT Programming Langu...

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International Conference on Electrical Machines and Systems

作者： Trinnapop Boonseng Nuapett Sarasiri Department of Electrical Power Engineering Mahanakorn University of Technology Thailand

ISBN: (纸本)9781467388634

关键词： digsilent programming language railway system train dynamic simulation model

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Stochastic Optimal Allocation of Capacitor Banks for System Loss Minimization

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IEEE LATIN AMERICA TRANSACTIONS 2016年第4期14卷 1980-1987页

作者： Soto, S. Hinojosa, V. H. Univ Tecn Federico Santa Maria Valparaiso Chile Univ Tecn Federico Santa Maria Dept Ingn Elect Valparaiso Chile

In this paper, the problem of power losses minimization is carried out with the aim of attaining minimum power losses in an electrical power system. The current industry practice is to locally install reactive power compensation systems. Using capacitor banks, it can help to maintain bus voltages and power factors as well as reduce the power cable losses. As a result, this action will help to meet any future load increase. Currently, because of huge uncertainties affecting some relevant input variables, expansion plans frequently are subject to continuous reviews and modifications. In addition, probabilistic analysis, specifically with the application of the Monte Carlo method, is exploited for assessing the attributes of different solutions (capacitor banks). Finally, exhaustive numerical results on a real sub-transmission system demonstrate that the proposed formulation and approach are effective obtaining positive simulation results. Comparisons of different control techniques are shown, and conclusions are derived.

关键词： Minimization Power Losses Capacitor placement digsilent programming language Monte Carlo Uncertainty Clustering

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