特殊天气和极端天气下电力负荷特性的知识提取模型

Dou Quansheng, Pan Guan-yu, S. Zhongzhi, Yang Bin
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引用次数: 3

摘要

负荷预测是电力系统的一个传统研究领域,在正常情况下,相似日之间存在较大的相似性,但在特殊日和极端天气条件下,负荷预测具有一定的不确定性。提出了电力负荷特殊日和极端天气特征提取模型,在模型中重新定义了传统遗传算法的编码策略和遗传操作,提取了电力负荷特殊日和极端天气之间的关系规则。同时,实践也证明了这些规则的可信性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Knowledge extraction model for power load characteristics of special days and extreme weather
Load forecasting is a traditional research field of power system, under normal circumstance, there are great similarities between the similar days, but under the condition of special days and extreme weather, load prediction has some uncertainty. Extraction model for load characteristics of special days and extreme weather was proposed in this paper, coding strategy and genetic operation of traditional genetic algorithm were redefined in the model, the relational rules about relation between power load special days and extreme weather were extracted. At the same time, the credibility of these rules was proven by practice.
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