An Analytical Method of Day-Ahead Load Curve for Adjustable Loads under Price-Based Demand Response

Fangbo He; Rui Zheng; Yuhan Zhang; Qingqing Zhou; Yuhan Huang; Yuge Sun; Tao Ding

doi:10.1109/iSPEC58282.2023.10402932

An Analytical Method of Day-Ahead Load Curve for Adjustable Loads under Price-Based Demand Response

Fangbo He
, Rui Zheng
, Yuhan Zhang
, Qingqing Zhou
, Yuhan Huang
, Yuge Sun
, Tao Ding

School of Electrical Engineering

Ltd.
Xi'an Jiaotong University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The demand-side response is an important method to mobilize load-side flexibility to adapt to the high proportion of renewable energy in the power system. Evaluating the potential and effectiveness of the demand-side response requires calculating the load curves of the adjustable loads participating in the demand-side response in numerous scenarios. However, methods that rely solely on commercial solvers may not cover all scenarios or meet the computational speed requirements. This paper proposes an analytical method to quickly and precisely compute the day-ahead load curve for adjustable loads under price-based demand response. Rigorous theoretical derivation and proof based on KKT conditions are introduced to guarantee the accuracy of the proposed method. Numerical results verify the validity of the proposed method.

Original language	English
Title of host publication	2023 IEEE Sustainable Power and Energy Conference, iSPEC 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350322699
DOIs	https://doi.org/10.1109/iSPEC58282.2023.10402932
State	Published - 2023
Event	2023 IEEE Sustainable Power and Energy Conference, iSPEC 2023 - Chongqing, China Duration: 28 Nov 2023 → 30 Nov 2023

Publication series

Name	2023 IEEE Sustainable Power and Energy Conference, iSPEC 2023

Conference

Conference	2023 IEEE Sustainable Power and Energy Conference, iSPEC 2023
Country/Territory	China
City	Chongqing
Period	28/11/23 → 30/11/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Adjustable loads
demand response
electricity price
quadratic programming

Access to Document

10.1109/iSPEC58282.2023.10402932

Cite this

He, F., Zheng, R., Zhang, Y., Zhou, Q., Huang, Y., Sun, Y., & Ding, T. (2023). An Analytical Method of Day-Ahead Load Curve for Adjustable Loads under Price-Based Demand Response. In 2023 IEEE Sustainable Power and Energy Conference, iSPEC 2023 (2023 IEEE Sustainable Power and Energy Conference, iSPEC 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/iSPEC58282.2023.10402932

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title = "An Analytical Method of Day-Ahead Load Curve for Adjustable Loads under Price-Based Demand Response",

abstract = "The demand-side response is an important method to mobilize load-side flexibility to adapt to the high proportion of renewable energy in the power system. Evaluating the potential and effectiveness of the demand-side response requires calculating the load curves of the adjustable loads participating in the demand-side response in numerous scenarios. However, methods that rely solely on commercial solvers may not cover all scenarios or meet the computational speed requirements. This paper proposes an analytical method to quickly and precisely compute the day-ahead load curve for adjustable loads under price-based demand response. Rigorous theoretical derivation and proof based on KKT conditions are introduced to guarantee the accuracy of the proposed method. Numerical results verify the validity of the proposed method.",

keywords = "Adjustable loads, demand response, electricity price, quadratic programming",

author = "Fangbo He and Rui Zheng and Yuhan Zhang and Qingqing Zhou and Yuhan Huang and Yuge Sun and Tao Ding",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Sustainable Power and Energy Conference, iSPEC 2023 ; Conference date: 28-11-2023 Through 30-11-2023",

year = "2023",

doi = "10.1109/iSPEC58282.2023.10402932",

language = "英语",

series = "2023 IEEE Sustainable Power and Energy Conference, iSPEC 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2023 IEEE Sustainable Power and Energy Conference, iSPEC 2023",

}

He, F, Zheng, R, Zhang, Y, Zhou, Q, Huang, Y, Sun, Y & Ding, T 2023, An Analytical Method of Day-Ahead Load Curve for Adjustable Loads under Price-Based Demand Response. in 2023 IEEE Sustainable Power and Energy Conference, iSPEC 2023. 2023 IEEE Sustainable Power and Energy Conference, iSPEC 2023, Institute of Electrical and Electronics Engineers Inc., 2023 IEEE Sustainable Power and Energy Conference, iSPEC 2023, Chongqing, China, 28/11/23. https://doi.org/10.1109/iSPEC58282.2023.10402932

An Analytical Method of Day-Ahead Load Curve for Adjustable Loads under Price-Based Demand Response. / He, Fangbo; Zheng, Rui; Zhang, Yuhan et al.
2023 IEEE Sustainable Power and Energy Conference, iSPEC 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 IEEE Sustainable Power and Energy Conference, iSPEC 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - An Analytical Method of Day-Ahead Load Curve for Adjustable Loads under Price-Based Demand Response

AU - He, Fangbo

AU - Zheng, Rui

AU - Zhang, Yuhan

AU - Zhou, Qingqing

AU - Huang, Yuhan

AU - Sun, Yuge

AU - Ding, Tao

PY - 2023

Y1 - 2023

N2 - The demand-side response is an important method to mobilize load-side flexibility to adapt to the high proportion of renewable energy in the power system. Evaluating the potential and effectiveness of the demand-side response requires calculating the load curves of the adjustable loads participating in the demand-side response in numerous scenarios. However, methods that rely solely on commercial solvers may not cover all scenarios or meet the computational speed requirements. This paper proposes an analytical method to quickly and precisely compute the day-ahead load curve for adjustable loads under price-based demand response. Rigorous theoretical derivation and proof based on KKT conditions are introduced to guarantee the accuracy of the proposed method. Numerical results verify the validity of the proposed method.

AB - The demand-side response is an important method to mobilize load-side flexibility to adapt to the high proportion of renewable energy in the power system. Evaluating the potential and effectiveness of the demand-side response requires calculating the load curves of the adjustable loads participating in the demand-side response in numerous scenarios. However, methods that rely solely on commercial solvers may not cover all scenarios or meet the computational speed requirements. This paper proposes an analytical method to quickly and precisely compute the day-ahead load curve for adjustable loads under price-based demand response. Rigorous theoretical derivation and proof based on KKT conditions are introduced to guarantee the accuracy of the proposed method. Numerical results verify the validity of the proposed method.

KW - Adjustable loads

KW - demand response

KW - electricity price

KW - quadratic programming

UR - https://www.scopus.com/pages/publications/85185379306

U2 - 10.1109/iSPEC58282.2023.10402932

DO - 10.1109/iSPEC58282.2023.10402932

M3 - 会议稿件

AN - SCOPUS:85185379306

T3 - 2023 IEEE Sustainable Power and Energy Conference, iSPEC 2023

BT - 2023 IEEE Sustainable Power and Energy Conference, iSPEC 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE Sustainable Power and Energy Conference, iSPEC 2023

Y2 - 28 November 2023 through 30 November 2023

ER -

He F, Zheng R, Zhang Y, Zhou Q, Huang Y, Sun Y et al. An Analytical Method of Day-Ahead Load Curve for Adjustable Loads under Price-Based Demand Response. In 2023 IEEE Sustainable Power and Energy Conference, iSPEC 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (2023 IEEE Sustainable Power and Energy Conference, iSPEC 2023). doi: 10.1109/iSPEC58282.2023.10402932

An Analytical Method of Day-Ahead Load Curve for Adjustable Loads under Price-Based Demand Response

Abstract

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UN SDGs

Keywords

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