基于大数据分析的低压台区三相不平衡治理方法

Treatment Method of Three-Phase Unbalance in Low-Voltage Substation Based on Big Data Analysis

针对低压台区存在三相不平衡度较高导致电力系统运行经济受到影响的问题,设计基于大数据分析的低压台区三相不平衡治理方法。度量三相不平衡电流基波分量,分析三相不平衡度指标;利用大数据分析,计算出三相不平衡周期平滑系数,预测出配电变压器的负荷电流;构建出低压台区三相不平衡补偿模型,对三相不平衡问题进行综合治理,实现了低压台区三相不平衡的高效治理。通过实例分析验证了应用设计的治理方法后,台区三相不平衡度指标大幅度下降,经治理之后的三相不平衡度均在30%以内,治理效果较好,极具推广价值。

Aiming at the problem that the high three-phase imbalance in the low-voltage substation area affects the operation economy of the power system,the three-phase imbalance control method in the low-voltage substation area based on big data analysis is designed.The fundamental wave component of three-phase unbalanced current is measured,and the three-phase unbalance index is analyzed.Using big data analysis,calculate the three-phase unbalanced periodic smoothing coefficient and predict the load current of the distribution transformer.The compensation model of three-phase unbalance in low-voltage station area is constructed,and the three-phase unbalance problem is comprehensively treated,and the high-efficiency treatment of three-phase unbalance in low-voltage station area is realized.Through the analysis of examples,it is verified that the three-phase unbalance index of the station area is greatly reduced after the application of the designed control method.After the control,the three-phase unbalance degree is all within 30%,and the control effect is good,which has great promotion value.