电力系统动态仿真中参数不确定性影响的评估

Evaluation on Impact of Parameter Uncertainty in Power System Dynamic Simulation

电力系统仿真模型中存在不确定参数,动态仿真结果的可信度因此受到影响。基于暂态稳定约束最优潮流,提出一种评估参数不确定性情况下动态仿真结果可信度的方法。通过构造一组非线性优化问题,确定参考系统中待评估变量动态性能的边界轨迹,以此作为评估参数不确定性情况下动态仿真结果可信度的依据。运用连续线性规划方法求解这组优化问题,所提出的评估方法的有效性在IEEE 9节点系统和IEEE 39节点系统上得到了验证。

There are typically uncertain parameters in power system models, and it is consequently impacted that the credible degree of dynamic behaviors of power system simulations relied upon these uncertain models. Based on optimal power flow constrained by transient stability, this paper presents a computational method for evaluating the credible degree of dynamic behaviors of simulations in the condition of parameter uncertainty. In the method, a set of nonlinear optimization problems is formulated to determine dynamic performance bounds around nominal values. The performance bounds are the basis of evaluating the credible degree of dynamics of simulations in the condition of uncertainty. These nonlinear optimization problems are solved by a successive linear programming approach. The proposed method is tested on the/EEE 9-bus testsYstem and the IEEE 39-bus test system. The results show that the proposed method is effective in evaluating the credible degree of dynamic behaviors of power system simulations in the condition of parameter uncertainty.