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Smart grid modeling and simulation — Comparing GridLAB-D and RAPSim via two Case studies

机译:智能电网建模和仿真—通过两个案例研究比较GridLAB-D和RAPSim

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One of the most important tools for the development of the smart grid is simulation. Therefore, analyzing, designing, modeling, and simulating the smart grid will allow to explore future scenarios and support decision making for the grid's development. In this paper, we compare two open source simulation tools for the smart grid, GridLAB-Distribution (GridLAB-D) and Renewable Alternative Power systems Simulation (RAPSim). The comparison is based on the implementation of two case studies related to a power flow problem and the integration of renewable energy resources to the grid. Results show that even for very simple case studies, specific properties such as weather simulation or load modeling are influencing the results in a way that they are not reproducible with a different simulator.
机译:仿真是开发智能电网最重要的工具之一。因此,分析,设计,建模和模拟智能电网将允许探索未来的场景并支持电网发展的决策。在本文中,我们比较了用于智能电网的两个开源仿真工具GridLAB-Distribution(GridLAB-D)和可再生替代电力系统仿真(RAPSim)。比较是基于两个案例研究的实施,这两个案例研究涉及潮流问题以及可再生能源与电网的整合。结果表明,即使对于非常简单的案例研究,诸如天气模拟或负荷建模之类的特定属性也会以无法用其他模拟器重现的方式影响结果。

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