Total supply capability for city distribution systems based on the probability load growth

Zhiqiang Wang, Shengguo Wu, Wenxia Liu, W. Ding
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引用次数: 5

Abstract

This study, considering the probability load growth and load distribution imbalance, proposes a mathematical model for city total supply capability (CTSC). First, it introduces the concepts to CTSC and available load supply capability (ALSC); second, using multi-scenario method to analyze the future load, so it could get some possible load scenarios; then the model is translated into linear constrained optimization method to calculate CTSC under each scenario. So it could get CTSC with the scenarios' probability, which is most suitable one for the probability load growth and the load distribution; finally, the results from a real distribution system testify the effectiveness of the proposed model.
基于概率负荷增长的城市配电系统总供电能力
本文在考虑负荷增长概率和负荷分布不平衡的基础上,建立了城市总供给能力的数学模型。首先介绍了CTSC和可用负荷供应能力(ALSC)的概念;其次,采用多情景法对未来荷载进行分析,得到一些可能的荷载情景;然后将模型转化为线性约束优化方法,计算各场景下的CTSC。因此,该方法可以得到最适合于负荷概率增长和负荷分布的情景概率CTSC;最后,通过一个实际配电系统验证了该模型的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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