MatPSST
▪︎ Description
The MatPSST is a Matlab/Simulink based power system simulation toolbox for electric power system analysis and simulation. It is a user-friendly, flexible, modularized and supporting real-time simulation toolbox. The overarching goal of the MatPSST is to enable users without advanced software and hardware knowledge to simulating power system and combine with real-time simulation platforms. To achieve this, MatPSST minimizes code and makes full use of the solvers and toolboxes in MATLAB. So that the MatPSST has a smooth learning curve, and is very suitable for power system research and education.
MatPSST can perform the following task:
1. Power flow calculation.
2. Power system dynamic simulation.
3. Small-signal analysis without additional programming.
4. Various advanced controller design.
5. Combination with real-time platform, such as dSPACE and RTLAB.
User-friendly user-defined function
MatPSST has a library containing common device models, such as converters and renewable energy generators. Besides, with the GUI provided by Simulink, users can freely implement the user-defined model and control strategy into the MatPSST.
Seamless transition to real-time simulation
Since MatPSST supports some real-time simulation platforms, such as dSPACE and RTLAB, the model run on MatPSST can easily transfer to the dSPACE and RTLAB. It reduces the difficulty of real-time simulation of power system
▪︎ Download
MatPSST is an open-access toolbox. After registering here, the download link will pop up. The latest MatPSST version can be downloaded in download link. The registration information is important for us to keep developing MatPSST. We hope the toolbox can help you overcome the problems in power system research and education.
▪︎ About us
MatPSST is developed by Smart Grid Operation & Control Center (SGO) in Huazhong University of Science and Technology (HUST). You can view http://sgo.hust.edu.cn/ to learn more about us. Though MatPSST has been tested, limited by time and ability, bugs can happen. You can also send email to Professor Wei Yao (w.yao@hust.edu.cn) for more information.