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Demand response model for TOU (Time of Use) analysis

Binh Thi Thanh Phan 1, *
Thao Thi Thu Huynh 1
  1. Department of Electrical and Electronics Engineering, Ho Chi Minh City University of Technology-VNU-HCM
Correspondence to: Binh Thi Thanh Phan, Department of Electrical and Electronics Engineering, Ho Chi Minh City University of Technology-VNU-HCM. Email: pvphuc@vnuhcm.edu.vn.
Volume & Issue: Vol. 19 No. 4 (2016) | Page No.: 5-13 | DOI: 10.32508/stdj.v19i4.778
Published: 2016-12-31

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Copyright The Author(s) 2023. This article is published with open access by Vietnam National University, Ho Chi Minh city, Vietnam. This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0) which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. 

Abstract

The demand response program is focused on changing the electrical consumption as the response to the time of use tariff changing. This program is considered by utilities currently. To estimate the effectiveness of TOU changing, the works try to find the analytical models expressing the changing of electrical consumption and electrical prices. All models are based on the assumption about the optimal response. This paper proposed three ways to find the models. The first way is based on the cost-share function knowing that the response is optimal. The second way is an approximately estimation of demand elasticity coefficients. The third is based on the neural network. The two first ways tried to find the analytical model, the third focused on the consumption response by prices of day.

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