基于离散吸引力模型的用电需求价格弹性矩阵

GAO Yajing

您当前的位置：

首页 >

文章列表页 >

基于离散吸引力模型的用电需求价格弹性矩阵

更新时间：2025-08-13

- 基于离散吸引力模型的用电需求价格弹性矩阵
- Automation of Electric Power Systems Vol. 38, Issue 13, Pages: 103-107(2014)
- 作者机构：
  
  华北电力大学电气与电子工程学院,河北省,保定市,071003
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2014
- 稿件说明：
移动端阅览
GAO Yajing. [J]. Automation of electric power systems, 2014, 38(13): 103-107.
DOI：

GAO Yajing. [J]. Automation of electric power systems, 2014, 38(13): 103-107. DOI：

摘要

分析用户对电价的响应是研究用电需求量随电价变化规律的关键，因此建立一种准确的需求价格弹性矩阵的计算方法十分必要。文中基于离散吸引力模型，依据价格需求弹性的定义，推导出自弹性系数和互弹性系数的计算公式，并通过数学运算，将离散吸引力模型线性化。运用SPSS软件对待估参数进行估计，得到分时电价下的需求价格弹性矩阵。运用该需求价格弹性矩阵结合历史电力需求量数据，可以预测未来时段不同力度的分时电价下的用电需求量。

Abstract

Analysis on users’response to electricity price is crucial to research on the rules of power demand changing with different prices.Therefore，it is necessary to devise a calculation method of demand price elasticity matrix.Based on the discrete attraction model，the calculation formulae of self-elastic coefficient and cross-elastic coefficient are derived from the definition of demand price elasticity.The discrete attraction model is then linearized through mathematical operation.The SPSS software is used to estimate the parameters and the demand price elasticity matrix can be calculated.The electricity demand in different time-of-use prices can be predicted using the demand price elasticity matrix combined with the historic consumption data.

关键词

Keywords

references

Views

5084

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Calculation Model of Cross-zonal Medium- and Long-term Net Available Transfer Capability for Maximizing Social Welfare

Monitoring and Analysis Methods for Excess Revenue of Power Generation Entities

Stochastic Evolutionary Game of Capacity Trading for Wind-Photovoltaic-Pumped Storage in Auxiliary Service Market

Related Author

SHI Zhihao

YANG Zaimin

SUN Siyang

ZHENG Xiangming

XIAO Jucheng

FAN Shuai

HE Guangyu

WU Weimin

Related Institution

Key Laboratory of Control of Power Transmission and Conversion, Ministry of Education (Shanghai Jiao Tong University)

Shanghai Non-carbon Energy Conversion and Utilization Institute

Energy Development Research Institute of China Southern Power Grid Co., Ltd.

China Southern Power Grid Co., Ltd.

College of Business, Hunan University of Technology

⁰