Aggregator-Based Models and Clearing Algorithms for Distributed PV-Storage Integration into Spot Markets

Qiyue Ma; Xiuli Wang; Yaxin Luo; Ying Ding; Hongsong Peng; Tongxi Wu

doi:10.1109/ICPST69917.2026.11637529

Aggregator-Based Models and Clearing Algorithms for Distributed PV-Storage Integration into Spot Markets

Qiyue Ma
, Xiuli Wang
, Yaxin Luo
, Ying Ding
, Hongsong Peng
, Tongxi Wu

School of Electrical Engineering
National Innovation Platform (Center) for Industry-Education Integration of Energy Storage Technology

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

Distributed energy resources (DERs) struggle to enter wholesale markets due to their small, stochastic nature. This paper proposes an aggregator based framework and clearing model for distributed PV storage systems. It defines access mechanisms using 'aggregator trading, separate settlement' and develops a day ahead clearing model incorporating grid and unit constraints. Aggregators participate via a 'quantity bidding without price' strategy. IEEE30 node simulations demonstrate enhanced resource consumption and identify a critical storage capacity ratio that optimizes economic benefits and congestion relief. This study provides a theoretical and empirical reference for normalized aggregator market operations.

源语言	英语
主期刊名	ICPST 2026 - 2026 IEEE 4th International Conference on Power Science and Technology
出版商	Institute of Electrical and Electronics Engineers Inc.
页	647-652
页数	6
ISBN（电子版）	9798331564056
DOI	https://doi.org/10.1109/ICPST69917.2026.11637529
出版状态	已出版 - 2026
已对外发布	是
活动	2026 IEEE 4th International Conference on Power Science and Technology, ICPST 2026 - Hohhot, 中国期限: 15 5月 2026 → 18 5月 2026

丛书

姓名	ICPST 2026 - 2026 IEEE 4th International Conference on Power Science and Technology

会议

会议	2026 IEEE 4th International Conference on Power Science and Technology, ICPST 2026
国家/地区	中国
市	Hohhot
时期	15/05/26 → 18/05/26

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 7 经济适用的清洁能源

访问文件

10.1109/ICPST69917.2026.11637529

其它文件与链接

链接到 Scopus 的出版物

引用此

Ma, Q., Wang, X., Luo, Y., Ding, Y., Peng, H., & Wu, T. (2026). Aggregator-Based Models and Clearing Algorithms for Distributed PV-Storage Integration into Spot Markets. 在 ICPST 2026 - 2026 IEEE 4th International Conference on Power Science and Technology (页码 647-652). (ICPST 2026 - 2026 IEEE 4th International Conference on Power Science and Technology). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPST69917.2026.11637529

Ma, Qiyue ; Wang, Xiuli ; Luo, Yaxin 等. / Aggregator-Based Models and Clearing Algorithms for Distributed PV-Storage Integration into Spot Markets. ICPST 2026 - 2026 IEEE 4th International Conference on Power Science and Technology. Institute of Electrical and Electronics Engineers Inc., 2026. 页码 647-652 (ICPST 2026 - 2026 IEEE 4th International Conference on Power Science and Technology).

@inproceedings{7aebdac95c2041ad8daa459850cf356e,

title = "Aggregator-Based Models and Clearing Algorithms for Distributed PV-Storage Integration into Spot Markets",

abstract = "Distributed energy resources (DERs) struggle to enter wholesale markets due to their small, stochastic nature. This paper proposes an aggregator based framework and clearing model for distributed PV storage systems. It defines access mechanisms using 'aggregator trading, separate settlement' and develops a day ahead clearing model incorporating grid and unit constraints. Aggregators participate via a 'quantity bidding without price' strategy. IEEE30 node simulations demonstrate enhanced resource consumption and identify a critical storage capacity ratio that optimizes economic benefits and congestion relief. This study provides a theoretical and empirical reference for normalized aggregator market operations.",

keywords = "Aggregator, clearing algorithm, demand response, distributed PV storage, spot market",

author = "Qiyue Ma and Xiuli Wang and Yaxin Luo and Ying Ding and Hongsong Peng and Tongxi Wu",

note = "Publisher Copyright: {\textcopyright} 2026 IEEE.; 2026 IEEE 4th International Conference on Power Science and Technology, ICPST 2026 ; Conference date: 15-05-2026 Through 18-05-2026",

year = "2026",

doi = "10.1109/ICPST69917.2026.11637529",

language = "英语",

series = "ICPST 2026 - 2026 IEEE 4th International Conference on Power Science and Technology",

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

pages = "647--652",

booktitle = "ICPST 2026 - 2026 IEEE 4th International Conference on Power Science and Technology",

}

Ma, Q, Wang, X, Luo, Y, Ding, Y, Peng, H & Wu, T 2026, Aggregator-Based Models and Clearing Algorithms for Distributed PV-Storage Integration into Spot Markets. 在 ICPST 2026 - 2026 IEEE 4th International Conference on Power Science and Technology. ICPST 2026 - 2026 IEEE 4th International Conference on Power Science and Technology, Institute of Electrical and Electronics Engineers Inc., 页码 647-652, 2026 IEEE 4th International Conference on Power Science and Technology, ICPST 2026, Hohhot, 中国, 15/05/26. https://doi.org/10.1109/ICPST69917.2026.11637529

Aggregator-Based Models and Clearing Algorithms for Distributed PV-Storage Integration into Spot Markets. / Ma, Qiyue; Wang, Xiuli; Luo, Yaxin 等.
ICPST 2026 - 2026 IEEE 4th International Conference on Power Science and Technology. Institute of Electrical and Electronics Engineers Inc., 2026. 页码 647-652 (ICPST 2026 - 2026 IEEE 4th International Conference on Power Science and Technology).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Aggregator-Based Models and Clearing Algorithms for Distributed PV-Storage Integration into Spot Markets

AU - Ma, Qiyue

AU - Wang, Xiuli

AU - Luo, Yaxin

AU - Ding, Ying

AU - Peng, Hongsong

AU - Wu, Tongxi

PY - 2026

Y1 - 2026

N2 - Distributed energy resources (DERs) struggle to enter wholesale markets due to their small, stochastic nature. This paper proposes an aggregator based framework and clearing model for distributed PV storage systems. It defines access mechanisms using 'aggregator trading, separate settlement' and develops a day ahead clearing model incorporating grid and unit constraints. Aggregators participate via a 'quantity bidding without price' strategy. IEEE30 node simulations demonstrate enhanced resource consumption and identify a critical storage capacity ratio that optimizes economic benefits and congestion relief. This study provides a theoretical and empirical reference for normalized aggregator market operations.

AB - Distributed energy resources (DERs) struggle to enter wholesale markets due to their small, stochastic nature. This paper proposes an aggregator based framework and clearing model for distributed PV storage systems. It defines access mechanisms using 'aggregator trading, separate settlement' and develops a day ahead clearing model incorporating grid and unit constraints. Aggregators participate via a 'quantity bidding without price' strategy. IEEE30 node simulations demonstrate enhanced resource consumption and identify a critical storage capacity ratio that optimizes economic benefits and congestion relief. This study provides a theoretical and empirical reference for normalized aggregator market operations.

KW - Aggregator

KW - clearing algorithm

KW - demand response

KW - distributed PV storage

KW - spot market

UR - https://www.scopus.com/pages/publications/105048496053

U2 - 10.1109/ICPST69917.2026.11637529

DO - 10.1109/ICPST69917.2026.11637529

M3 - 会议稿件

AN - SCOPUS:105048496053

T3 - ICPST 2026 - 2026 IEEE 4th International Conference on Power Science and Technology

SP - 647

EP - 652

BT - ICPST 2026 - 2026 IEEE 4th International Conference on Power Science and Technology

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2026 IEEE 4th International Conference on Power Science and Technology, ICPST 2026

Y2 - 15 May 2026 through 18 May 2026

ER -

Ma Q, Wang X, Luo Y, Ding Y, Peng H, Wu T. Aggregator-Based Models and Clearing Algorithms for Distributed PV-Storage Integration into Spot Markets. 在 ICPST 2026 - 2026 IEEE 4th International Conference on Power Science and Technology. Institute of Electrical and Electronics Engineers Inc. 2026. 页码 647-652. (ICPST 2026 - 2026 IEEE 4th International Conference on Power Science and Technology). doi: 10.1109/ICPST69917.2026.11637529

Aggregator-Based Models and Clearing Algorithms for Distributed PV-Storage Integration into Spot Markets

摘要

丛书

会议

联合国可持续发展目标

访问文件

其它文件与链接

学术指纹

引用此