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基于迭代策略的三相负荷不平衡大数据分析与治理方案

A Big Data Analysis Scheme of Three-phase Load Imbalance Based on Iterative Strategy

  • 摘要: 文章提出一种基于迭代策略的三相负荷不平衡大数据分析与治理策略。利用大数据、云计算、宽带载波等最新的前沿技术,采集用户的小时负荷,分析用户的用电性质与用电习惯,结合权重、方差、拟合曲线等数学思维,建立计算模型,利用云迭代策略,得出最优条件下的调相治理方案,然后通过现场调整用户的表计相序,最终在时间维度上实现治理台区三相不平衡问题。

     

    Abstract: This paper presents a big data analysis and governance strategy of three-phase load imbalance based on iterative strategy.Using the latest cutting-edge technologies such as big data, cloud computing and broadband carrier, collect the user's hourly load, analyze the user's power consumption properties and habits, establish a calculation model in combination with mathematical thinking such as weight, variance and fitting curve, calculate the phase modulation scheme under the optimal conditions by using the iterative strategy, and then adjust the user's meter phase sequence on site, finally, the three-phase imbalance in the station area is solved in the time dimension.

     

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