Evaluation Index of Demand Response Based on Stationary Measure of Time series

Jingjie Huang; Z. Y. Dong; Ke Meng; Liang Yuan; Yilun Sun

doi:10.1109/EI247390.2019.9061756

Evaluation Index of Demand Response Based on Stationary Measure of Time series

Jingjie Huang
, Z. Y. Dong
, Ke Meng
, Liang Yuan
, Yilun Sun

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

Demand response is introduced to the practice of power peak load shifting and the stability of load curves. However, conventional indexes of load characteristics can hardly characterize the stability of load curves. Thus, the evaluation index of demand response based on stationarity measure of time series is developed. Compared with conventional indexes of load characteristics, this new evaluation index is more rational, which can be verified by a range of new indexes of load characteristics like the absolute value of load margin, the weighted path length, and the information entropy along with some conventional indexes of load characteristics, such as peak-valley ratio and the standard deviation. Case studies show that these indexes can relatively evaluate the stability of load curves in a more efficient way. © 2019 IEEE.

Original language	English
Title of host publication	2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2)
Publisher	IEEE
Pages	1607-1612
ISBN (Electronic)	9781728131375
ISBN (Print)	978-1-7281-3138-2
DOIs	https://doi.org/10.1109/EI247390.2019.9061756
Publication status	Published - Nov 2019
Externally published	Yes
Event	3rd IEEE Conference on Energy Internet and Energy System Integration (IEEE EI2 2019) - Changsha, China Duration: 8 Nov 2019 → 10 Nov 2019

Publication series

Name	IEEE Conference on Energy Internet and Energy System Integration: Ubiquitous Energy Network Connecting Everything

Conference

Conference	3rd IEEE Conference on Energy Internet and Energy System Integration (IEEE EI2 2019)
Place	China
City	Changsha
Period	8/11/19 → 10/11/19

UN SDGs

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

SDG 7 Affordable and Clean Energy

Research Keywords

Demand response
Evaluation index
Stability
The marginal neighborhood radius
Time series

Access Output

10.1109/EI247390.2019.9061756

Other Access Options

Check CityUHK Library

Permanent Link

Right click to copy link

Cite this

Huang, J., Dong, Z. Y., Meng, K., Yuan, L., & Sun, Y. (2019). Evaluation Index of Demand Response Based on Stationary Measure of Time series. In 2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2) (pp. 1607-1612). (IEEE Conference on Energy Internet and Energy System Integration: Ubiquitous Energy Network Connecting Everything). IEEE. https://doi.org/10.1109/EI247390.2019.9061756

@inproceedings{7e03a3c4a1b848adb78d8807e572c47e,

title = "Evaluation Index of Demand Response Based on Stationary Measure of Time series",

abstract = "Demand response is introduced to the practice of power peak load shifting and the stability of load curves. However, conventional indexes of load characteristics can hardly characterize the stability of load curves. Thus, the evaluation index of demand response based on stationarity measure of time series is developed. Compared with conventional indexes of load characteristics, this new evaluation index is more rational, which can be verified by a range of new indexes of load characteristics like the absolute value of load margin, the weighted path length, and the information entropy along with some conventional indexes of load characteristics, such as peak-valley ratio and the standard deviation. Case studies show that these indexes can relatively evaluate the stability of load curves in a more efficient way. {\textcopyright} 2019 IEEE.",

keywords = "Demand response, Evaluation index, Stability, The marginal neighborhood radius, Time series",

author = "Jingjie Huang and Dong, \{Z. Y.\} and Ke Meng and Liang Yuan and Yilun Sun",

year = "2019",

month = nov,

doi = "10.1109/EI247390.2019.9061756",

language = "English",

isbn = "978-1-7281-3138-2",

series = "IEEE Conference on Energy Internet and Energy System Integration: Ubiquitous Energy Network Connecting Everything",

publisher = "IEEE",

pages = "1607--1612",

booktitle = "2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2)",

address = "United States",

note = "3rd IEEE Conference on Energy Internet and Energy System Integration (IEEE EI2 2019) ; Conference date: 08-11-2019 Through 10-11-2019",

}

Huang, J, Dong, ZY, Meng, K, Yuan, L & Sun, Y 2019, Evaluation Index of Demand Response Based on Stationary Measure of Time series. in 2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2). IEEE Conference on Energy Internet and Energy System Integration: Ubiquitous Energy Network Connecting Everything, IEEE, pp. 1607-1612, 3rd IEEE Conference on Energy Internet and Energy System Integration (IEEE EI2 2019), Changsha, China, 8/11/19. https://doi.org/10.1109/EI247390.2019.9061756

Evaluation Index of Demand Response Based on Stationary Measure of Time series. / Huang, Jingjie; Dong, Z. Y.; Meng, Ke et al.
2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2). IEEE, 2019. p. 1607-1612 (IEEE Conference on Energy Internet and Energy System Integration: Ubiquitous Energy Network Connecting Everything).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Evaluation Index of Demand Response Based on Stationary Measure of Time series

AU - Huang, Jingjie

AU - Dong, Z. Y.

AU - Meng, Ke

AU - Yuan, Liang

AU - Sun, Yilun

PY - 2019/11

Y1 - 2019/11

N2 - Demand response is introduced to the practice of power peak load shifting and the stability of load curves. However, conventional indexes of load characteristics can hardly characterize the stability of load curves. Thus, the evaluation index of demand response based on stationarity measure of time series is developed. Compared with conventional indexes of load characteristics, this new evaluation index is more rational, which can be verified by a range of new indexes of load characteristics like the absolute value of load margin, the weighted path length, and the information entropy along with some conventional indexes of load characteristics, such as peak-valley ratio and the standard deviation. Case studies show that these indexes can relatively evaluate the stability of load curves in a more efficient way. © 2019 IEEE.

AB - Demand response is introduced to the practice of power peak load shifting and the stability of load curves. However, conventional indexes of load characteristics can hardly characterize the stability of load curves. Thus, the evaluation index of demand response based on stationarity measure of time series is developed. Compared with conventional indexes of load characteristics, this new evaluation index is more rational, which can be verified by a range of new indexes of load characteristics like the absolute value of load margin, the weighted path length, and the information entropy along with some conventional indexes of load characteristics, such as peak-valley ratio and the standard deviation. Case studies show that these indexes can relatively evaluate the stability of load curves in a more efficient way. © 2019 IEEE.

KW - Demand response

KW - Evaluation index

KW - Stability

KW - The marginal neighborhood radius

KW - Time series

UR - https://www.scopus.com/pages/publications/85084069510

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85084069510&origin=recordpage

U2 - 10.1109/EI247390.2019.9061756

DO - 10.1109/EI247390.2019.9061756

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 978-1-7281-3138-2

T3 - IEEE Conference on Energy Internet and Energy System Integration: Ubiquitous Energy Network Connecting Everything

SP - 1607

EP - 1612

BT - 2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2)

PB - IEEE

T2 - 3rd IEEE Conference on Energy Internet and Energy System Integration (IEEE EI2 2019)

Y2 - 8 November 2019 through 10 November 2019

ER -

Huang J, Dong ZY, Meng K, Yuan L, Sun Y. Evaluation Index of Demand Response Based on Stationary Measure of Time series. In 2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2). IEEE. 2019. p. 1607-1612. (IEEE Conference on Energy Internet and Energy System Integration: Ubiquitous Energy Network Connecting Everything). doi: 10.1109/EI247390.2019.9061756

Evaluation Index of Demand Response Based on Stationary Measure of Time series

Abstract

Publication series

Conference

UN SDGs

Research Keywords

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Cite this