Research on Line Loss Calculation of Urban Cable Line

Abstract

With the rapid development of China's economy, the demand for electricity from all walks of life has also increased rapidly. The calculation of the theoretical line loss in the low-voltage station area is of great significance for improving the stable and fair operation of the power grid. The theoretical line loss of the low-voltage station area is affected by the field operation parameters, and the accuracy of the calculation has always been a concern. Based on the BP model, we designed a low-voltage station area theoretical line loss calculation model. Compared with the traditional calculation method, it has the characteristics of easy calculation and small calculation error. Firstly, aiming at the problem that the distribution of urban underground cables is complex, the theoretical line loss calculation workload is too large, an IBP neural network algorithm is proposed, which can easily calculate the theoretical line loss and reduce the calculation error of line loss. Then, aiming at the problem of insufficient accuracy due to the random selection of IBP algorithm weight threshold, a chaotic genetic algorithm (CGA) combining chaos algorithm and genetic algorithm is used to optimize IBP. Then a series of experimental analysis was carried out on the effect of this model. Through the comparison of experimental results. The experimental results show that the accuracy of CGA optimized IBP model for theoretical line loss calculation of urban underground cable is much higher than that of traditional theoretical line loss algorithm.