针对考虑负荷概率分布的随机最优潮流问题，建立了相应的机会约束规划模型。
A chance constrained programming model is built to the stochastic optimal power flow problem (S-OPF) considering load probabilistic distributions.
即使他们在时间、地震过程中随机发生的相似尺寸(如，大约相同的大小)将去跟随潮流在时间和发生在相对同样的时间间隔。
Even though they occur randomly in time, earthquake of similar sizes (eg, approximately the same magnitudes) are expected to follow a trend in time and happen at relatively the same time intervals.
本文针对IEEE - 30节点系统，分析了各种随机因素对系统潮流的影响，并验证了本文方法的快速性和准确性。
Case studies of IEEE 30-node system were calculated to analyze the impact of random elements, the compared result showed the proposed method has much higher speed and a higher degree of accuracy.
该分析框架保留了二阶非线性项，保证了随机负荷潮流的计算精度。
The framework preserved the second-order nonlinear terms and ensured the computer accuracy.
而概率潮流方法可充分考虑风电场出力的随机性，能为含风电场的电力系统规划运行人员提供更全面有用的信息。
The probabilistic load flow method can fully taken into account the randomicity of wind farm, which can give much more useful information for the dispatch department's decision-making and planning.
而概率潮流方法可充分考虑风电场出力的随机性，能为含风电场的电力系统规划运行人员提供更全面有用的信息。
The probabilistic load flow method can fully taken into account the randomicity of wind farm, which can give much more useful information for the dispatch department's decision-making and planning.
应用推荐