A Customer Baseline Measurement Method for Residential User of Demand Response 2nd China International Youth Conference on Electrical Engineering CIYCEE 2021

报告详情

A Customer Baseline Measurement Method for Residential User of Demand Response

编号：292 访问权限：仅限参会人更新：2021-12-03 10:57:52 浏览：646次张贴报告

报告开始：2021年12月17日 14:30（Asia/Shanghai）

报告时间：5min

所在会场：[Z] Poster Session [Z6] Poster Session 6: AI-driven technology

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摘要

One of the most important challenges for DR revenue is the calculation of customer baseline load. In this paper a novel CBL (Customer Baseline Load ) calculation method and it’s correction based on error evaluation is proposed theoretically and empirically. A dataset consisting of 2135 residential customers from China is utilized for the case study to test the performance of the algorithm in actual conditions using accuracy and bias metrics. The case study results show that load data is non-stationary, and the baseline method of grey theory can well adapt to this feature. The model proposed in this paper can effectively improve the accuracy of demand response load baseline measurement. The average error is decreased from 6.09% to 3.56%. At the same time, it can also provide data support for adjustable load to participate in market-oriented transactions.

关键词

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报告人

Feixiang gong

China Electric Power Research Institute

稿件作者

Feixiang gong China Electric Power Research Institute

Yuting Xu China Electric Power Research Institute

Songsong Chen China Electric Power Research Institute

Dezhi Li China Electric Power Research Institute

Shiming Tian China Electric Power Research Institute

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重要日期

会议日期

07月11日

2023

至

08月18日

2023
11月10日 2021

初稿截稿日期
12月10日 2021

注册截止日期
12月11日 2021

报告提交截止日期

主办单位

IEEE IAS

承办单位

IEEE IAS Student Chapter of Southwest Jiaotong University (SWJTU)
IEEE IAS Student Chapter of Huazhong University of Science and Technology (HUST)
IEEE PELS (Power Electronics Society) Student Chapter of HUST