论文标题
电力流计算中方程和雅各布评估的有效并行性
Effective Parallelism for Equation and Jacobian Evaluation in Power Flow Calculation
论文作者
论文摘要
这封信研究了大规模功率流计算中方程和雅各布评估的平行性方法。提出和分析了两个级别的并行性：模型间并行性，该平行性评估模型和模型内并行性，该模型在每个模型中并行评估计算。讨论，实现并将基准标准为六个计算工作流程，诸如多线程和单个指令之类的并行技术。关于70,000个公共汽车合成网格的案例研究表明，方程评估可以加速10次，牛顿的总体功率流总数提高了20％。
This letter investigates parallelism approaches for equation and Jacobian evaluations in large-scale power flow calculation. Two levels of parallelism are proposed and analyzed: inter-model parallelism, which evaluates models in parallel, and intra-model parallelism, which evaluates calculations within each model in parallel. Parallelism techniques such as multi-threading and single instruction multiple data (SIMD) vectorization are discussed, implemented, and benchmarked as six calculation workflows. Case studies on the 70,000-bus synthetic grid show that equation evaluations can be accelerated by ten times, and the overall Newton power flow advances the state of the art by 20%.
