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APPROPRIATE STATISTICAL LOAD MODELS FOR LIGHT INDUSTRIAL ELECTRIFICATION

机译:轻工业电气化的适当统计负荷模型

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This paper studies the statistical load modelling of a selected group of light industrial consumers as typically found within modern light industrial development nodes such as industrial parks.rnA statistical model is presented which incorporates beta-distributed constant current load at daily instants of maximum demand. It has been established that light industrial consumer loads are stochastic of nature, similar to previously reported residential load, and that load uncertainty can be described mathematically at a specific interval in time using a beta probability density function (pdf). Practical measurements show how the beta pdf fits the distribution of load current at daily instants of maximum demand. The statistical description of load current at maximum demand creates new opportunities for light industrial electrification design.
机译:本文研究了一组选定的轻工业消费者的统计负载模型,这些模型通常在现代轻工业发展节点(例如工业园区)中发现.rn提供了一个统计模型,该模型在最大需求的每日瞬间结合了β分布的恒定电流负载。已经确定,轻工业用户负荷是自然随机的,类似于先前报告的居民负荷,并且负荷不确定性可以使用β概率密度函数(pdf)在特定的时间间隔内进行数学描述。实际测量表明,beta pdf如何适应最大需求的每日瞬间的负载电流分布。最大需求时负载电流的统计描述为轻工业电气化设计创造了新的机会。

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