Efficiency Optimization Method for Data Sampling in Power Grid Topology Scheduling Simulation
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.
topology scheduling simulationDRLsampling efficiency optimizationmodel quantizationpower grid digital twin
万方数据
维普
