鲁棒调度模型可以求解出在不确定性参数发生变化,总是可行的优化解。但是,这类模型的问题是结果过于保守。为此,提出了满足一定置信水平的鲁棒区间调度模型,通过设置置信水平实现经济与安全的协调。分析了风电出力不确定度取值与置信水平的数学关系,以此作为风电出力区间收缩的依据。采用线性规划的对偶理论将所提的双层优化模型转化为单层的非线性规划模型求解,并采用内点法实现有效求解。在IEEE RTS 24节点测试系统上的算例结果证明了该方法的有效性。
A robust approach for power dispatch can calculate the solutions which are immune to uncertainty. A concern with such an approach is that it might be too conservative. To decrease the level of conservatism of the robust solutions, an adjustable confidence level was introduced into the robust interval optimization model, which can make the trade-off between economy and security. The proposed model is a two-layer robust optimization one, which can be converted into a nonlinear optimization model with linear constraint and solved by interior point method efficiently. Numerical test results on IEEE RTS 24-node test system validate the effectivity of proposed method.