基于人工智能算法的配电网线损率计算方法

Calculation method of line loss rate of power distribution network based on artificial intelligence algorithm

由于配电变压器分布较为广泛且容量较大,传统的统计方法难以有效地将其分配到每一台变压器上,进而出现线损统计参量出现局部偏差,并对最终的统计输出结果造成影响。为此,本文研究基于人工智能算法的配电网线损率计算方法,首先,对配电网线损特征参量进行设定,并基于设定参数进行配电网数据归一化处理。然后,利用人工智能算法构建配电网线损率模型。最后,定义配电网线损率适应度函数,对较低的适应度值进行线损率寻优,实现了配电网线损率的计算。通过实验数据表明,提出方法优化后的计算精准度、计算稳定性、方法适应性得到了全面提升,能够有效解决计算偏差的同时具有简单易行的特点,研究推广价值较高。

Due to the wide distribution and large capacity of distribution transformers,traditional statistical methods are difficult to effectively allocate them to each transformer,resulting in local deviations in line loss statistical parameters and affecting the final statistical output results.Therefore,this article studies the calculation method of distribution network line loss rate based on artificial intelligence algorithms.Firstly,the characteristic parameters of distribution network line loss are set,and the distribution network data is normalized based on the set parameters.Then,artificial intelligence algorithms are used to construct a distribution network line loss rate model.Finally,a fitness function for the distribution network line loss rate was defined to optimize the line loss rate for lower fitness values,achieving the calculation of the distribution network line loss rate.Through experimental data,it has been shown that the optimized method has comprehensively improved computational accuracy,stability,and adaptability.It can effectively solve computational errors while also having the characteristics of simplicity and feasibility,and has high research and promotion value.