Estimating Substation Peaks from Load Research Data
Estimating Substation Peaks from Load Research Data
复制标题
根据负荷研究数据估计变电站峰值
DOI：
10.1109/61.568270
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发表时间：
1997
期刊：
影响因子：
--
通讯作者：
J. Nazarko
中科院分区：
文献类型：
--
作者：
R. Broadwater;A. Sargent;A. Yarali;H. Shaalan;J. Nazarko
负荷研究数据用于开发kWh到峰值kW的转换系数、多样性系数和平均时变负荷数据，作为客户类别、月份和日期类型的函数。一种新的方法，基于非线性负荷研究的估计（NLRE），是用来获得每月的负荷形状的客户类估计的峰值MW负荷变电站的总MWh使用的客户类，类型的一天，和一个月的函数。在温泉，阿肯色州的四个变电站被用于估计的月峰值，并从SCADA系统的测量值的结果进行了比较。结果表明，与以前的方法相比，NLRE估计的变电站峰值的精度提高。
Load research data is used to develop kWh-to-peak-kW conversion factors, diversity factors, and average time-varying load data as a function of customer class, month, and type of day. A new method, nonlinear load research based estimation (NLRE), is used to derive monthly load shapes by customer class for estimating the peak MW load on substations as a function of total MWh usage by customer class, type of day, and month. Four substations at Hot Springs, Arkansas are used for estimation of monthly peak and the results are compared with measured values from a SCADA system. The results show improved accuracy of the NLRE estimated substation peaks in comparison with the previous method.