Fast Responsive Framework for Optimal Power Flow Analysis in Power System

The analysis of optimal power flow (OPF) plays an important role in the safe operation, economic dispatching and reliability analysis in modern power system. However, with the large-scale integration of renewable energy sources and power electronics, higher requirements are put forward for online analysis of power system. Most previous studies only focused on the execution efficiency of the algorithm without considering the cost of data processing and transmission. In fact, the transmission of massive data between different platforms and computational nodes is the major factor limiting the response time of online analysis. In this paper, a fast responsive framework, which integrates the in-memory data grid and parallel computing, is proposed to improve the response time of OPF analysis. The case studies based on the IEEE baseline network show that the proposed framework can greatly improve the speed of data access and accelerate the computing time of OPF.