Transient stability constrained optimal power flow is a complex nonlinear optimization problem. In the interior point method solution based on time domain simulation, transient differential equations are generally discretized and considered as additional equality constraints, which will easily suffer from the curse of dimensionality. Aiming at the deficiencies, an order-reduced interior point algorithm is developed. Taking the truncation error of specific discretization method into account, the proposed algorithm discretizes the transient equations into difference precision related inequality constraints and greatly reduces the order of correction equations in interior point method. Test results on several cases indicate that the proposed algorithm consumes much less time and memory compared with conventional approach, and it has the potential to deal with larger power systems.
Transient Stability Assessment of Power System with Renewable Energy Based on Network Energy Trajectory Feature Learning
Optimal Power Flow of Integrated Hydrogen-Electricity Energy System Based on Reduced-dimension Projection
Control Strategy for Electricity-Hydrogen Hybrid Energy Storage System Based on Distributed Model Predictive Control
Related Author
XIA Xiaoqin
WEI Hua
ZHANG Yuchi
CAI Guowei
LIU Cheng
ZHANG Zedong
WANG Yingyue
YANG Jingying
Related Institution
Institute of Power System Optimization, Guangxi University
Guangxi Key Laboratory of Power System Optimization and Energy-saving Technology, Guangxi University
School of Electrical Engineering, Northeast Electric Power University
State Key Laboratory of Advanced Electromagnetic Engineering and Technology (Huazhong University of Science and Technology)
State Key Laboratory of Advanced Electromagnetic Engineering and Technology (School of Electrical and Electronic Engineering, Huazhong University of Science and Technology)