智能电网建模与仿真 - 通过两个案例研究比较 GridLAB-D 和 RAPSim
Smart grid modeling and simulation - Comparing GridLAB-D and RAPSim via two Case studies
AI总结：
本文通过两个案例研究比较了智能电网的两个开源仿真工具GridLAB-D和RAPSim，探讨了天气模拟和负荷建模等特定属性对仿真结果的影响。
摘要：
智能电网发展过程中最重要的工具之一是仿真。因此，分析、设计、建模和仿真智能电网将有助于探索未来场景并支持电网发展的决策。本文比较了两个开源的智能电网仿真工具GridLAB-D和RAPSim。比较基于两个与电力流问题和可再生能源接入电网相关的案例研究的实现。结果表明，即使对于非常简单的案例研究，特定属性如天气模拟或负荷建模也会以无法用不同仿真器重现的方式影响结果。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
