期刊文献+

A modular parallelization framework for power flow transfer analysis of large-scale power systems 被引量:3

A modular parallelization framework for power flow transfer analysis of large-scale power systems
原文传递
导出
摘要 Power flow transfer(PFT) analysis under various anticipated faults in advance is important for securing power system operations. In China, PSD-BPA software is the most widely used tool for power system analysis, but its input/output interface is easily adapted for PFT analysis,which is also difficult due to its computationally intensity.To solve this issue, and achieve a fast and accurate PFT analysis, a modular parallelization framework is developed in this paper. Two major contributions are included. One is several integrated PFT analysis modules, including parameter initialization, fault setting, network integrity detection, reasonableness identification and result analysis.The other is a parallelization technique for enhancing computation efficiency using a Fork/Join framework. The proposed framework has been tested and validated by the IEEE 39 bus reference power system. Furthermore, it has been applied to a practical power network with 11052 buses and 12487 branches in the Yunnan Power Grid ofChina, providing decision support for large-scale power system analysis. Power flow transfer(PFT) analysis under various anticipated faults in advance is important for securing power system operations. In China, PSD-BPA software is the most widely used tool for power system analysis, but its input/output interface is easily adapted for PFT analysis,which is also difficult due to its computationally intensity.To solve this issue, and achieve a fast and accurate PFT analysis, a modular parallelization framework is developed in this paper. Two major contributions are included. One is several integrated PFT analysis modules, including parameter initialization, fault setting, network integrity detection, reasonableness identification and result analysis.The other is a parallelization technique for enhancing computation efficiency using a Fork/Join framework. The proposed framework has been tested and validated by the IEEE 39 bus reference power system. Furthermore, it has been applied to a practical power network with 11052 buses and 12487 branches in the Yunnan Power Grid ofChina, providing decision support for large-scale power system analysis.
出处 《Journal of Modern Power Systems and Clean Energy》 SCIE EI 2018年第4期679-690,共12页 现代电力系统与清洁能源学报(英文)
基金 supported by the Major International Joint Research Project from the National Nature Science Foundation of China (No. 51210014) Major Program of National Natural Science Foundation of China (No. 91547201)
关键词 POWER FLOW TRANSFER MODULAR PARALLELIZATION Fork/Join FRAMEWORK PSD-BPA Power flow transfer Modular Parallelization Fork/Join framework PSD-BPA
  • 相关文献

参考文献7

二级参考文献85

共引文献227

同被引文献33

引证文献3

二级引证文献18

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部