小区域负荷预测的空间建模技术

2001 Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.01CH37262) Pub Date : 2001-07-15 DOI:10.1109/PESS.2001.970236

H.C. Wu, C. Lu

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引用次数: 4

摘要

在放松管制的环境下，竞争将导致电能使用量的增加。需求的增加可能导致许多输配电(T&D)系统的大规模扩展规划。未来负荷增长的位置必须有足够的地理精度来描述，以允许未来T&D设备的有效选址。空间负荷预测提供了未来电力需求的信息，包括位置、大小和时间特征。本文采用“数据库知识发现(KDD)”技术，根据土地利用变化的可能性，自动确定小区域的优先“分数”，从而确定负荷增长。它是一种探索性的数据分析，试图发现空间数据中对数据用户不明显的有用模式，并支持负荷预测。

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A spatial modeling technique for small area load forecast

In a deregulated environment, competition will lead to an increase of electrical energy usage. The increase in the demand could lead to substantial expansion planning implications for many transmission and distribution (T&D) systems. Locations of future load growth have to be described with sufficient geographic precision to permit valid siting of future T&D equipment. Spatial load forecast provides information of future electric demand that includes location, magnitude and temporal characteristics. In this paper, a "knowledge discovery in database (KDD)" technique is used to determine automatically the preferential "scores" of small areas with respect to the possibility of land use changes, and consequently the load growth. It is an exploratory data analysis, trying to discover useful patterns in spatial data that are not obvious to the data user and to support the load forecast.

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2001 Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.01CH37262)

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