采用等分散抽样法的电力系统概率仿真

Power system probabilistic simulation using average and scattered sampling

针对电力系统概率仿真中常规蒙特卡洛抽样容量太大、效率低的问题,采用等分散抽样技术减少抽样次数和计算时间,从而提高模拟精度,加快蒙特卡洛的收敛速度。由IEEE标准系统的计算结果表明该方法是可行有效的。

Monte Carlo sampling technology,which is normally used in power system probabilistic simulation,needs large smaple size and has low efficiency. The average and scattered sampling scheme is applied to reduce computation time and sample size. The new method improves simulation accuracy and accerlates the convergency of Monte Carlo simulation. The computation result in IEEE RTS test system proves its efficiency and feasibility.