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基于设备用电特征的居民电力需求价格弹性评估
作者:
作者单位:

1.电网智能化调度与控制教育部重点实验室(山东大学),山东省济南市250061;2.国网山东省电力公司经济技术研究院,山东省济南市250021

摘要:

能源互联网建设可实现居民用电设备的状态感知,为需求价格弹性的评估提供全新的数据支持。以此为前提,提出一种基于设备用电特征的居民电力需求价格弹性评估方法。首先,根据需求价格弹性的定义,分析居民用电设备的使用特征与自弹性、交叉弹性的关联性,揭示用电设备可调整性对居民用户电价响应行为的客观约束。其次,针对居民用户因数量庞大且主观响应意愿存在差异而导致的设备用电调整不确定性,结合与用电特征关联的设备可调整性分类,构建基于设备用电调整模糊推理的居民电价响应行为分析模型。最后,将响应结果对应到需求价格弹性矩阵计算,完成居民电力需求价格弹性评估。算例分析验证了所提的方法的合理性与有效性。

关键词:

基金项目:

国家电网公司科技项目(物联网环境下基于云-边计算的需求侧资源协同优化与智能调节关键技术研究,SGSDJY00GPJS1900179)。

通信作者:

张利(1967—),女,通信作者,博士,副教授,主要研究方向:电力系统运行与控制、电力市场。E-mail:yzhangli@sdu.edu.cn

作者简介:

徐广达(1994—),男,硕士研究生,主要研究方向:基于大数据技术的用户能量管理。E-mail:xgd@sdu.edu.cn


Estimation of Price Elasticity for Residential Electricity Demand Based on Electricity Consumption Features of Appliances
Author:
Affiliation:

1.Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University), Jinan250061, China;2.Economic & Technology Research Institute of State Grid Shandong Electric Power Company, Jinan250021, China

Abstract:

Energy Internet construction can realize the state awareness of residential appliances, and provide new data support for the estimation of price elasticity for demand. On this premise, an estimation method of price elasticity for residential electricity demand is proposed based on the electricity consumption features of appliances. Firstly, the correlation between the features and self-elasticity as well as cross-elasticity of residential appliances is analyzed according to the definition of price elasticity for demand. The objective constraint on behaviors of residential price response subjected to adjustability of appliances is revealed. Secondly, considering that the adjustment of appliances is uncertain due to the large number of residents and subjective differentiation of their response willingness, an analysis model based on fuzzy reasoning of electricity consumption adjustment of appliances is constructed to simulate the price response behavior of residents, which takes advantages of the classification of the adjustable features for appliances. Finally, the response results are used to calculate the price elasticity matrix of demand, and the residential price elasticity of electricity demand is estimated. Simulation results show the rationality and effectiveness of the proposed method.

Keywords:

Foundation:
This work is supported by State Grid Corporation of China (No. SGSDJY00GPJS1900179).
引用本文
[1]徐广达,张利,梁军,等.基于设备用电特征的居民电力需求价格弹性评估[J].电力系统自动化,2020,44(13):48-55. DOI:10.7500/AEPS20191118003.
XU Guangda, ZHANG Li, LIANG Jun, et al. Estimation of Price Elasticity for Residential Electricity Demand Based on Electricity Consumption Features of Appliances[J]. Automation of Electric Power Systems, 2020, 44(13):48-55. DOI:10.7500/AEPS20191118003.
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  • 收稿日期:2019-11-18
  • 最后修改日期:2019-12-27
  • 录用日期:
  • 在线发布日期: 2020-07-03
  • 出版日期:
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