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牛顿最优潮流算法中离散控制量的新处理方法
A NOVEL QUADRATIC PENALTY FUNCTION BASED DISCRETIZATION ALGORITHM FOR NEWTON OPTIMAL POWER FLOW
【摘要】 提出了一种新的基于正曲率二次罚函数的最优潮流算法中离散控制量的处理方法。该方法利用二次罚函数产生的虚拟费用迫使离散控制到达它的一个分级上,引入机制简单有效,并能很好地结合在牛顿最优潮流算法中。文中对一个IEEE试验电力系统和两个中国的实际电力系统做了数值计算。结果表明,该方法有良好的收敛性、精确性,具有很强的实用意义。
【Abstract】 A novel quadratic penalty function based discretization algorithm for Newton optimal power flow (OPF) ispresented. This algorithm utilizes the fictitious costs created by the quadratic penalty functions to drive discrete controls toarrive at one of its steps. The introduction rules are simple and effective. It works well with Newton OPF algorithm. Thenumerical results of one IEEE standard test system and two Chinese actual networks show that this algorithm can get goodprecision with satisfactory convergence. save more computational time and has better numerical stability.
【Key words】 optimal power flow discrete variables quadratic penalty function updated penalty;
- 【文献出处】 电力系统自动化 ,AUTOMATION OF ELECTRIC POWER SYSTEMS , 编辑部邮箱 ,1999年23期
- 【分类号】TM76
- 【被引频次】94
- 【下载频次】523