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基于元胞历史负荷数据的负荷密度指标法

肖白 杨修宇 穆钢 宋坤

电网技术Issue(4):1014-1019,6.
电网技术Issue(4):1014-1019,6.DOI:10.13335/j.1000-3673.pst.2014.04.029

基于元胞历史负荷数据的负荷密度指标法

A Load Density Index Method Based on Historical Data of Cell Load

肖白 1杨修宇 1穆钢 1宋坤2

作者信息

  • 1. 东北电力大学 电气工程学院,吉林省 吉林市 132012
  • 2. 辽宁省电力有限公司电力经济技术研究院,辽宁省 沈阳市 110015
  • 折叠

摘要

Abstract

ABSTRACT:In existing methods to obtain load density index the mining of measured historical data is frequently neglected, or the non-uniform distribution of homogeneous loads is ignored. For this reason, a cell load historical data based load density index method is proposed. Through the load density of class I cell, the coordination coefficient of classified load density is determined, and according to the historical load of class I cell and the constraint relation among its power supply area, land use information and classified load densities the relation equations of cell load and classified load densities are established and the classified load density index is obtained by least square method. Using the obtained classified load density index of past years the load density in the target year can be predicted, and the load value of each class II cell is solved, thus the spatial load forecasting is implemented. The practicality and validity of the proposed method are verified by engineering example.

关键词

空间负荷预测/负荷密度指标/地理信息系统/协调系数/元胞

Key words

spatial load forecasting(SLF)/load density index/geographic information system(GIS)/coordination coefficient/cell

分类

信息技术与安全科学

引用本文复制引用

肖白,杨修宇,穆钢,宋坤..基于元胞历史负荷数据的负荷密度指标法[J].电网技术,2014,(4):1014-1019,6.

基金项目

国家自然科学基金项目(51177009)。 (51177009)

电网技术

OA北大核心CSCDCSTPCD

1000-3673

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