A flexible numerical tool for large dynamic DC networks
CoRR(2024)
摘要
DC networks play an important role within the ongoing energy transition. In
this context, simulations of designed and existing networks and their
corresponding assets are a core tool to get insights and form a support to
decision-making. Hereby, these simulations of DC networks are executed in the
time domain. Due to the involved high frequencies and the used controllers, the
equations that model these DC networks are stiff and highly oscillatory
differential equations. By exploiting sparsity, we show that conventional
adaptive time stepping schemes can be used efficiently for the time domain
simulation of very large DC networks and that this scales linearly in the
computational cost as the size of the networks increase.
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要