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基于大数据技术的35kV配电网线损无功补偿方法

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当前的35 kV配电网线损无功补偿约束条件一般为单层级,导致无功补偿极限损耗值加大,为此,提出了基于大数据技术的35 kV配电网线损无功补偿方法.利用大数据技术的配电网线损补偿节点定位,构建35 kV配电网线损无功补偿模型,设定配电网线损多阶约束条件,求解35 kV配电网线损无功补偿模型,从而实现35 kV配电网线损无功补偿.设计对比实验,实验结果证明该方法的无功补偿极限损耗值均被较好地控制在了150 kW以下,在无功补偿的过程中控制效果更佳,具有实际的应用价值.
35 kV Distribution Network Line Loss and Reactive Power Compensation Method Based on Big Data Technology
The current constraint conditions for line loss and reactive power compensation in 35 kV distribution networks are generally single-layer,which leads to an increase in the limit loss value of reactive power compensation.Therefore,a 35 kV distribution network line loss and reactive power compensation method based on big data technology is proposed.Using big data technology to locate the nodes for line loss compensation in distribution networks,constructing a 35 kV distribution network line loss and reactive power compensation model,setting multi-level constraint conditions for distribution network line loss,solving the 35 kV distribution network line loss and reactive power compensation model,thereby achieving 35 kV distribution network line loss and reactive power compensation.Design comparative experiments,and the experimental results show that the maximum loss value of reactive power compensation of this method is well controlled below 150 kW.The control effect is better in the process of reactive power compensation,and it has practical application value.

big data technology35 kV distribution networkline lossreactive power compensation methodmulti-level constraint conditions

谢红卉

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杭州萧山供电公司,浙江 杭州 311200

大数据技术 35kV配电网 线损 无功补偿方法 多阶约束条件

2024

自动化应用
重庆西南信息有限公司

自动化应用

影响因子:0.156
ISSN:1674-778X
年,卷(期):2024.65(20)