Combining Wavelet Transform and Temporal Clustering Methods to Analyze PV Fluctuations

You Chen; Xingshuo Li; Shuye Ding; Yizhi Chen; Wei Wang

doi:10.1109/APPEEC61255.2024.10922449

Combining Wavelet Transform and Temporal Clustering Methods to Analyze PV Fluctuations

You Chen
, Xingshuo Li
, Shuye Ding
, Yizhi Chen
, Wei Wang

Nanjing Normal University
NARI Technology Co., Ltd.

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

Abstract

Since solar photovoltaic (PV) is an intermittent energy source, its power fluctuations must be addressed and mitigated. In this paper, we have analyzed the fluctuation characteristics of PV power using the proposed temporal clustering method. This method involves categorizing the various time zones of PV power fluctuation through clustering techniques and extracting the corresponding weather characteristic curves. Furthermore, we analyzed the approximate weather types for which the ramp rate (RR) is severely exceeded by employing the wavelet fractional solution method to fit the daily power curves. The proposed method offers valuable considerations for designing power ramp rate control (PRRC) strategies tailored to each time zone under different weather conditions.

Original language	English
Title of host publication	2024 IEEE PES 16th Asia-Pacific Power and Energy Engineering Conference
Subtitle of host publication	Innovative Technologies Drive Low-Carbon, Sustainable, and Flexible Energy Systems, APPEEC 2024 - Proceedings
Publisher	IEEE Computer Society
ISBN (Electronic)	9798350386127
DOIs	https://doi.org/10.1109/APPEEC61255.2024.10922449
State	Published - 2024
Externally published	Yes
Event	16th IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2024 - Nanjing, China Duration: 25 Oct 2024 → 27 Oct 2024

Publication series

Name	Asia-Pacific Power and Energy Engineering Conference, APPEEC
ISSN (Print)	2157-4839
ISSN (Electronic)	2157-4847

Conference

Conference	16th IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2024
Country/Territory	China
City	Nanjing
Period	25/10/24 → 27/10/24

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Power fluctuations
Ramp rate
Temporal clustering
Wavelet transform

Access to Document

10.1109/APPEEC61255.2024.10922449

Cite this

Chen, Y., Li, X., Ding, S., Chen, Y., & Wang, W. (2024). Combining Wavelet Transform and Temporal Clustering Methods to Analyze PV Fluctuations. In 2024 IEEE PES 16th Asia-Pacific Power and Energy Engineering Conference: Innovative Technologies Drive Low-Carbon, Sustainable, and Flexible Energy Systems, APPEEC 2024 - Proceedings (Asia-Pacific Power and Energy Engineering Conference, APPEEC). IEEE Computer Society. https://doi.org/10.1109/APPEEC61255.2024.10922449

Chen, You ; Li, Xingshuo ; Ding, Shuye et al. / Combining Wavelet Transform and Temporal Clustering Methods to Analyze PV Fluctuations. 2024 IEEE PES 16th Asia-Pacific Power and Energy Engineering Conference: Innovative Technologies Drive Low-Carbon, Sustainable, and Flexible Energy Systems, APPEEC 2024 - Proceedings. IEEE Computer Society, 2024. (Asia-Pacific Power and Energy Engineering Conference, APPEEC).

@inproceedings{e4c54289938e40db92f8aa7f2736ff50,

title = "Combining Wavelet Transform and Temporal Clustering Methods to Analyze PV Fluctuations",

abstract = "Since solar photovoltaic (PV) is an intermittent energy source, its power fluctuations must be addressed and mitigated. In this paper, we have analyzed the fluctuation characteristics of PV power using the proposed temporal clustering method. This method involves categorizing the various time zones of PV power fluctuation through clustering techniques and extracting the corresponding weather characteristic curves. Furthermore, we analyzed the approximate weather types for which the ramp rate (RR) is severely exceeded by employing the wavelet fractional solution method to fit the daily power curves. The proposed method offers valuable considerations for designing power ramp rate control (PRRC) strategies tailored to each time zone under different weather conditions.",

keywords = "Power fluctuations, Ramp rate, Temporal clustering, Wavelet transform",

author = "You Chen and Xingshuo Li and Shuye Ding and Yizhi Chen and Wei Wang",

note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 16th IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2024 ; Conference date: 25-10-2024 Through 27-10-2024",

year = "2024",

doi = "10.1109/APPEEC61255.2024.10922449",

language = "英语",

series = "Asia-Pacific Power and Energy Engineering Conference, APPEEC",

publisher = "IEEE Computer Society",

booktitle = "2024 IEEE PES 16th Asia-Pacific Power and Energy Engineering Conference",

}

Chen, Y, Li, X, Ding, S, Chen, Y & Wang, W 2024, Combining Wavelet Transform and Temporal Clustering Methods to Analyze PV Fluctuations. in 2024 IEEE PES 16th Asia-Pacific Power and Energy Engineering Conference: Innovative Technologies Drive Low-Carbon, Sustainable, and Flexible Energy Systems, APPEEC 2024 - Proceedings. Asia-Pacific Power and Energy Engineering Conference, APPEEC, IEEE Computer Society, 16th IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2024, Nanjing, China, 25/10/24. https://doi.org/10.1109/APPEEC61255.2024.10922449

Combining Wavelet Transform and Temporal Clustering Methods to Analyze PV Fluctuations. / Chen, You; Li, Xingshuo; Ding, Shuye et al.
2024 IEEE PES 16th Asia-Pacific Power and Energy Engineering Conference: Innovative Technologies Drive Low-Carbon, Sustainable, and Flexible Energy Systems, APPEEC 2024 - Proceedings. IEEE Computer Society, 2024. (Asia-Pacific Power and Energy Engineering Conference, APPEEC).

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

TY - GEN

T1 - Combining Wavelet Transform and Temporal Clustering Methods to Analyze PV Fluctuations

AU - Chen, You

AU - Li, Xingshuo

AU - Ding, Shuye

AU - Chen, Yizhi

AU - Wang, Wei

PY - 2024

Y1 - 2024

N2 - Since solar photovoltaic (PV) is an intermittent energy source, its power fluctuations must be addressed and mitigated. In this paper, we have analyzed the fluctuation characteristics of PV power using the proposed temporal clustering method. This method involves categorizing the various time zones of PV power fluctuation through clustering techniques and extracting the corresponding weather characteristic curves. Furthermore, we analyzed the approximate weather types for which the ramp rate (RR) is severely exceeded by employing the wavelet fractional solution method to fit the daily power curves. The proposed method offers valuable considerations for designing power ramp rate control (PRRC) strategies tailored to each time zone under different weather conditions.

AB - Since solar photovoltaic (PV) is an intermittent energy source, its power fluctuations must be addressed and mitigated. In this paper, we have analyzed the fluctuation characteristics of PV power using the proposed temporal clustering method. This method involves categorizing the various time zones of PV power fluctuation through clustering techniques and extracting the corresponding weather characteristic curves. Furthermore, we analyzed the approximate weather types for which the ramp rate (RR) is severely exceeded by employing the wavelet fractional solution method to fit the daily power curves. The proposed method offers valuable considerations for designing power ramp rate control (PRRC) strategies tailored to each time zone under different weather conditions.

KW - Power fluctuations

KW - Ramp rate

KW - Temporal clustering

KW - Wavelet transform

UR - https://www.scopus.com/pages/publications/105002260759

U2 - 10.1109/APPEEC61255.2024.10922449

DO - 10.1109/APPEEC61255.2024.10922449

M3 - 会议稿件

AN - SCOPUS:105002260759

T3 - Asia-Pacific Power and Energy Engineering Conference, APPEEC

BT - 2024 IEEE PES 16th Asia-Pacific Power and Energy Engineering Conference

PB - IEEE Computer Society

T2 - 16th IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2024

Y2 - 25 October 2024 through 27 October 2024

ER -

Chen Y, Li X, Ding S, Chen Y, Wang W. Combining Wavelet Transform and Temporal Clustering Methods to Analyze PV Fluctuations. In 2024 IEEE PES 16th Asia-Pacific Power and Energy Engineering Conference: Innovative Technologies Drive Low-Carbon, Sustainable, and Flexible Energy Systems, APPEEC 2024 - Proceedings. IEEE Computer Society. 2024. (Asia-Pacific Power and Energy Engineering Conference, APPEEC). doi: 10.1109/APPEEC61255.2024.10922449

Combining Wavelet Transform and Temporal Clustering Methods to Analyze PV Fluctuations

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this