An improved sparse matrix-vector multiplication kernel for solving modified equation in large scale power flow calculation on CUDA

2012 ◽  
Author(s):  
Mei Yang ◽  
Cheng Sun ◽  
Zhimin Li ◽  
Dayong Cao
Keyword(s):  
Power Flow ◽  
Large Scale ◽  
Sparse Matrix ◽  
Power Flow Calculation ◽  
Flow Calculation ◽  
Matrix Vector Multiplication ◽  
Matrix Vector ◽  
Modified Equation

scholarly journals Optimal Power Flow Calculation Considering Large-Scale Photovoltaic Generation Correlation

2020 ◽  
Vol 8 ◽  
Author(s):  
He Li ◽  
Huijun Li ◽  
Weihua Lu ◽  
Zhenhao Wang ◽  
Jing Bian
Keyword(s):  
Power Flow ◽  
Power Plants ◽  
Optimal Power Flow ◽  
Large Scale ◽  
Short Term Memory ◽  
Photovoltaic System ◽  
Power Flow Calculation ◽  
Flow Calculation ◽  
Optimal Power ◽  
The Impact

In order to analyze the impact of large-scale photovoltaic system on the power system, a photovoltaic output prediction method considering the correlation is proposed and the optimal power flow is calculated. Firstly, establish a photovoltaic output model to obtain the attenuation coefficient and fluctuation amount, and analyze the correlation among the multiple photovoltaic power plants through the k-means method. Secondly, the long short-term memory (LSTM) neural network is used as the photovoltaic output prediction model, and the clustered photovoltaic output data is brought into the LSTM model to generate large-scale photovoltaic prediction results with the consideration of the spatial correlation. And an optimal power flow model that takes grid loss and voltage offset as targets is established. Finally, MATLAB is used to verify that the proposed large-scale photovoltaic forecasting method has higher accuracy. The multi-objective optimal power flow calculation is performed based on the NSGA-II algorithm and the modified IEEE systems, and the optimal power flow with photovoltaic output at different times is compared and analyzed.

tpSpMV: A two-phase large-scale sparse matrix-vector multiplication kernel for manycore architectures

2020 ◽  
Vol 523 ◽  
pp. 279-295
Author(s):  
Yuedan Chen ◽  
Guoqing Xiao ◽  
Fan Wu ◽  
Zhuo Tang ◽  
Keqin Li
Keyword(s):  
Large Scale ◽  
Sparse Matrix ◽  
Two Phase ◽  
Matrix Vector Multiplication ◽  
Matrix Vector

A Robust and Efficient Two-Stage Algorithm for Power Flow Calculation of Large-Scale Systems

2019 ◽  
Vol 34 (6) ◽  
pp. 5012-5022 ◽  
Author(s):  
Kunjie Tang ◽  
Shufeng Dong ◽  
Jie Shen ◽  
Chengzhi Zhu ◽  
Yonghua Song
Keyword(s):  
Power Flow ◽  
Large Scale ◽  
Power Flow Calculation ◽  
Two Stage ◽  
Flow Calculation ◽  
Large Scale Systems
Sign in / Sign up

Export Citation Format

Share Document