Operational analysis of large power grid desiderates a fast way to get complete scheduling information
but the calculation accuracy of traditional hot-start linearized models is highly dependent on the operating environment. So the voltage amplitude and phase angle are decoupled
and the power balance equation is linearized in different degrees by means of Taylor series expansion to obtain a semi-linearized model and a full-linearized model considering both voltage amplitude and reactive power. As for semi-linearized model
the method of calculating the equivalent load of network loss is improved
and a DC model based on improved network loss equivalent load is proposed to provide a good operating point. For the full-linearized model
the operating point is updated iteratively to eliminate its dependence on the operating environment. Case analysis results show that three proposed linearization models have high calculation accuracy and solution efficiency.
Optimal Power Flow of Integrated Hydrogen-Electricity Energy System Based on Reduced-dimension Projection
Review on Optimization Methods for New Power System Dispatch Based on Deep Reinforcement Learning
Review and Prospect of Inter-Regional and Inter-Provincial Power Trading in China
Assessment on Distributed Generation Accomodation Capability for Distribution Network Based on Uncertain Optimal Power Flow
Related Author
PENG Hongyi
YAN Mingyu
ZHOU Yijia
PENG Hongyi
YAN Mingyu
ZHOU Yijia
FENG Bin
HU Yijie
Related Institution
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)
College of Electrical Engineering, Zhejiang University
Zhijiang Laboratory
Department of Electrical Engineering, Tsinghua University