Abstract
In order to realize fast electromagnetic transient simulation for the electric power system with large-scale renewable energy integration, this paper proposes a graphics processing unit (GPU) based parallel algorithm oriented to the exponential integration method for electromagnetic transient simulation. Firstly, the high degree of data parallelism in the solving process of matrix exponential integration algorithm is analyzed. Then, this feature is combined with GPU computing resources. Large-scale matrix operations required by the exponential integration method are processed by GPU while the complex parts such as system status calculation and update remain in CPU. The simulation speed is effectively improved through these measures. Finally, the parallel algorithm is tested in the wind farm with 17 and 100 wind turbines, respectively. The correctness and efficiency of the proposed parallel algorithm are verified. It also shows that the acceleration of the algorithm will be more obvious for large-scale systems.
| Original language | English |
|---|---|
| Pages (from-to) | 113-119 |
| Number of pages | 7 |
| Journal | Dianli Xitong Zidonghua/Automation of Electric Power Systems |
| Volume | 42 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 25 Mar 2018 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy
Keywords
- Electromagnetic transient simulation
- Exponential integration
- Graphics processing unit (GPU)
- Parallel computation
Fingerprint
Dive into the research topics of 'GPU Based Parallel Algorithm Oriented to Exponential Integration Method for Electromagnetic Transient Simulation'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver