为解决新型电力系统的规模性与复杂性导致的仿真计算量较大,仿真速度相对变缓的问题,提出了一种基于分布式与量化机制的拓扑调度仿真加速方法.通过拓扑调度模型的并行,增大了单位时间内数据仿真采样的规模;引入了量化算子,加快拓扑调度模型算子计算,减少单次仿真的时间成本.算例分析验证了拓扑仿真加速的有效性,在单位时间内将仿真电力系统的可用传输容量提升了约2倍,并在不同规模电网算例实现了1.5~2.5倍的仿真加速.
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.