优化潮流牛顿算法的研究及应用

Study of Optimal Power Flow by Newton Approch and its Application to Var Optimization

研究了电力系统优化潮流问题的牛顿算法，并将该算法应用于求解无功优化问题。在算法上结合电力系统的ＰＱ解耦特性，采用主迭代之后进行试验迭代的方式来处理越界的不等式约束。在试验迭代中，应用稀疏矢量技术，提高了确定起作用不等式约束的效率。在主迭代中，提出了一种拟罚函数算法，处理有功电源和无功电源不等式约束，进一步提高了计算速度。无功优化问题的计算实例证明本文的算法是有效的。

This paper deals with OPF problem by Newton approach and applies it to solve Var optimization problem. The algorithm exploits P-Q decoupling characteristics, and combines it with main iterations followed by trial iterations to enforce the binding inequality constraints.Within each main iteration,a new quasi-multiplier Penalty Function Method is developed for enforcing power source constraints, and sparse vector techniques are adopted to enhance the efficiency of determining binding inequality sets. The efficiency of the algorithm is proven to be satisfactory according to the results of practical application to optimal Var problems.