摘要
To address the large simulation computational workload and low simulation speed caused by the scale and complexity of the new power system, a simulation acceleration method for topology scheduling based on the distributed and quantization mechanisms is proposed. The parallelization of topology scheduling models is used to increase the scale of data simulation sampling in unit time. The introduced quantization operators accelerate the computation speed of the topology scheduling model operators, reduces the time cost of the every single simulation. Case studies confirm the effectiveness of the topology simulation acceleration, in which the available transfer capacity of the simulated power system increases by approximately 2 times in unit time and achieves the simulation acceleration by 1.5~ 2.5 times in various-scale power grid scenarios.
| 投稿的翻译标题 | Efficiency Optimization Method for Data Sampling in Power Grid Topology Scheduling Simulation |
|---|---|
| 源语言 | 繁体中文 |
| 页(从-至) | 283-295 |
| 页数 | 13 |
| 期刊 | Xitong Fangzhen Xuebao / Journal of System Simulation |
| 卷 | 36 |
| 期 | 2 |
| DOI | |
| 出版状态 | 已出版 - 15 2月 2024 |
关键词
- DRL
- model quantization
- power grid digital twin
- sampling efficiency optimization
- topology scheduling simulation
指纹
探究 '面向电网拓扑调度仿真的采样效率优化方法研究' 的科研主题。它们共同构成独一无二的指纹。引用此
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver