【摘要】 提出了求解暂态稳定性约束下最优潮流(OTS)的新方法。该方法把OTS分解为最优潮流(OPF)和最优控制2个子问题。最优控制在迭代中OPF运行点上求取相关机组在暂态稳定约束下的有功输出极限,并以此作为OPF计算的附加约束条件。如此交替求解上述2个子问题即可得出OTS的解。该算法将微分方程表示的约束等值成控制变量的不等式约束,即增补了与故障数目相关的不等式约束,因此,该求解OTS算法的实现相对简单,可处理多个预想故障,并要可采用其它有效的OPF非线性规划方法求解,复杂度与常规OPF相同。文章通过10机典型新英格兰系统上的算例说明了OTS新算法的有效性和合理性。更多还原

【Abstract】 This paper proposes a new method for solutions of optimal power flow with transient stability constraints (OTS). Instead of directly tackling the difficult problem, the OTS is equivalently converted into two optimal sub-problems. One is conventional OPF and another is optimal control. And then, the two optimal sub-problems are solved by an alternate iteration approach. The outstanding advantage of the method is that the computation burden can be significantly reduced with better convergence. The method converts the constraints represented by the differential-algebraic equation into inequality constraints of control variables. And the number of the inequality constraints is the same as that of contingencies considered. Therefore, the method can deal with multi-contingencies simultaneously. The optimal power flow can be solved by other nonlinear programming methods with the same order of computation complexity. Test results on the 10-generator New England test system are given to verify efficiency, effectiveness and reliability of the method.更多还原