Accurate Estimation Method of Customer Baseline Load for Continuous Participation of Industrial Users in Demand Response

doi:10.11930/j.issn.1004-9649.202312036

Abstract

Abstract:

A computational method combining K-means cluster analysis with long- and short-term memory neural network algorithm is proposed, and transfer learning is carried out by industrial homogeneous group information to further optimize the estimation effect. Accurate estimation of industrial customer power baseline load under long-term continuous response is realized, and the accuracy of the demand response effect evaluation of industrial customers is improved. The effectiveness of the method is verified by the load data of industrial customers participating in demand response practice collected by the city-level virtual power plant platform.

Key words: demand response, customer baseline load estimation, cluster analysis

Heng LIANG, Geng HUANG, Bin HOU, Xi YANG, Xiaohu LUO, Da ZHANG. Accurate Estimation Method of Customer Baseline Load for Continuous Participation of Industrial Users in Demand Response[J]. Electric Power, 2024, 57(3): 34-42.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202312036

https://www.electricpower.com.cn/EN/Y2024/V57/I3/34

Figures/Tables 16

References 26

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企业	S	企业	S
A	1.000	D	0.799
B	0.849	E	0.795
C	0.810	F	0.772

企业	S	企业	S
A	1.000	D	0.799
B	0.849	E	0.795
C	0.810	F	0.772

组内企业	MAE/kW	组内企业	MAE/kW
A	2 285.5	ABCD	1 540.8
AB	1 620.7	ABCDE	1 402.6
ABC	1 561.2	ABCDEF	1 470.3

组内企业	MAE/kW	组内企业	MAE/kW
A	2 285.5	ABCD	1 540.8
AB	1 620.7	ABCDE	1 402.6
ABC	1 561.2	ABCDEF	1 470.3

算例	响应日期	响应时段	单次响应容量/%
1	11月14日	12:00—20:00	10~30
2	11月14—18日	12:00—20:00	10~30