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1.电力传输与功率变换控制教育部重点实验室(上海交通大学),上海市 200240
2.国网浙江省电力有限公司嘉兴供电公司,浙江省嘉兴市 314000
3.国家电网有限公司数字化工作部,北京市 100032
王啟国(1998—),男,博士研究生,主要研究方向:电磁暂态仿真、电力系统并行仿真。E-mail:wqg985918076@sjtu.edu.cn
徐晋(1991—),男,通信作者,博士,助理教授,主要研究方向:电力系统稳定性分析、新能源接入、实时仿真与建模。E-mail:xujin20506@sjtu.edu.cn
汪可友(1979—),男,博士,教授,主要研究方向:电力系统动态与稳定计算方法、柔性输电。E-mail:wangkeyou@sjtu.edu.cn
收稿:2023-04-26,
修回:2023-09-25,
网络出版:2023-11-22,
纸质出版:2024-02-10
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王啟国,徐晋,汪可友等.新能源电力系统细粒度并行与多速率电磁暂态仿真[J].电力系统自动化,2024,48(3):113-121.
WANG Qiguo,XU Jin,WANG Keyou,et al.Fine-grained Parallel and Multi-rate Electromagnetic Transient Simulation for Power System with Renewable Energy[J].Automation of Electric Power Systems,2024,48(3):113-121.
王啟国,徐晋,汪可友等.新能源电力系统细粒度并行与多速率电磁暂态仿真[J].电力系统自动化,2024,48(3):113-121. DOI: 10.7500/AEPS20230426002.
WANG Qiguo,XU Jin,WANG Keyou,et al.Fine-grained Parallel and Multi-rate Electromagnetic Transient Simulation for Power System with Renewable Energy[J].Automation of Electric Power Systems,2024,48(3):113-121. DOI: 10.7500/AEPS20230426002.
随着可再生能源的快速发展,电力系统设备类型越来越多,系统振荡特征越来越复杂,对电磁暂态仿真的精度和效率提出了更高要求。基于大规模集成电路设计中所使用的延迟插入法(LIM),提出了新能源电力系统的细粒度建模方法,并结合图形处理器(GPU)的资源优势,实现了算法的并行求解。所提方法将传统交流电网与电力电子设备进行解耦,并基于混合数值稳定性判据和局部截断误差的方法确定了各子系统的步长。然后,通过插值实现了新能源电力系统的多速率仿真。最后,基于GPU硬件平台,以含新能源接入的改进39节点系统为例验证了所提方法的精度,并以不同规模的新能源接入、不同仿真步长的组合验证了所提方法在仿真效率方面的优势。
With the rapid development of renewable energy
the types of power system equipment are increasing
and the oscillation characteristics are more complex
which puts forward higher requirements on accuracy and efficiency of the electromagnetic transient simulation. A fine-grained modeling method for the power system with renewable energy is proposed based on the latency insertion method (LIM) which is used in the design of large-scale integrated circuits. Combined with the resource advantages of the graphics processor unit (GPU)
the parallel solution of the algorithm is realized. The proposed method can decouple the traditional power grid and the power electronic equipment. The step sizes of sub-systems can be obtained according to the mixed numerical stability criterion and the local truncation error. Then
the multi-rate simulation of the power system with renewable energy is realized by interpolation. Finally
based on the GPU hardware platform
an improved 39-node system with renewable energy integration is taken as a case to verify the accuracy of the proposed method
and its advantages of simulation efficiency are verified by the simulation of systems with different scales and different combinations of step sizes.
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