基于进化规划方法的新型电压无功优化模型和算法

EVOLUTIONARY PROGRAMMING BASED NOVEL VOLTAGE AND REACTIVE POWER OPTIMIZATION MODEL AND ITS ALGORITHM

基于进化规划方法,提出了一种新型的电压无功优化模型和算法。利用高压网络支路电抗远大于电阻和节点电压相角差小的特点以及变比调整的注入功率表示,该模型将非线性无功潮流方程组简化为常系数线性化方程组,从而大幅度提高进化过程的迭代速度。另外,在算法中还采取了修正措施,以保证线性化精度。最后,通过算例验证了本文算法的有效性。

A novel model and its algorithm for voltage and reactive power optimization are put forward based onevolutionary programming. Applying the features that in high voltage network the value of branch reactance far exceeds that of resistance and the phase angle difference between busvoltages is very small and using of additional injection reactive power of bus to replace the adjustment of transformer tap, thenon-linear reactive power flow equations can be simplified into linear equations with constant coefficients by this model, thus, the evolution process is greatly speeded up. Otherwise, in this algorithm three revision measures are given to ensured theprecision of linearization. Comparing with conventionalnon-linear optimization method, the results of calculationexample show that the presented algorithm is effective.