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考虑温度与用电量之间的相关性来分解空调用电量。

Decomposition of air conditioning electricity consumption considering the dependence between the temperature and electricity consumption.

机构信息

State Grid Fujian Electric Power Co., Ltd., Fuzhou, China.

Institute of Economic and Technology, State Grid Fujian Electric Power Co., Ltd., Fuzhou, China.

出版信息

PLoS One. 2024 Aug 29;19(8):e0308542. doi: 10.1371/journal.pone.0308542. eCollection 2024.

Abstract

With the continuous increase in air conditioning installations, the proportion of air conditioning electricity consumption to total electricity consumption is growing. Research on the decomposition of air conditioning electricity consumption is of great significance for assessing electricity usage, formulating electricity scheduling plans, and ensuring the stable operation of the power grid. Currently, typical day selection strategies for the decomposition of air conditioning electricity consumption often overlook the corresponding relationship between typical daily electricity consumption and temperature. Therefore, this paper proposes an air conditioning electricity consumption decomposition method based on the dependence between temperature and electricity consumption. This method filters typical days based on Copula-based dependence indicators and equiprobable ellipses, determines the baseline electricity consumption curve through model selection voting, and ultimately calculates the air conditioning electricity consumption. The effectiveness of the proposed method is validated by applying it to electricity consumption data in Fuzhou from 2019 to 2022.

摘要

随着空调安装量的不断增加,空调用电量在总用电量中的占比也在不断增长。对空调用电量进行分解的研究对于评估用电量、制定用电调度计划以及确保电网的稳定运行具有重要意义。目前,空调用电量分解的典型日选择策略往往忽略了典型日用电量与温度之间的对应关系。因此,本文提出了一种基于温度与用电量之间相关性的空调用电量分解方法。该方法基于基于 Copula 的相关性指标和等概率椭圆对典型日进行过滤,通过模型选择投票确定基准用电量曲线,最终计算空调用电量。该方法通过应用于 2019 年至 2022 年福州的用电量数据进行了有效性验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ad6/11361441/7dc54275c2d9/pone.0308542.g001.jpg

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