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

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

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.

Original language	English
Title of host publication	ICPST 2026 - 2026 IEEE 4th International Conference on Power Science and Technology
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	647-652
Number of pages	6
ISBN (Electronic)	9798331564056
DOIs	https://doi.org/10.1109/ICPST69917.2026.11637529
State	Published - 2026
Externally published	Yes
Event	2026 IEEE 4th International Conference on Power Science and Technology, ICPST 2026 - Hohhot, China Duration: 15 May 2026 → 18 May 2026

Publication series

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

Conference

Conference	2026 IEEE 4th International Conference on Power Science and Technology, ICPST 2026
Country/Territory	China
City	Hohhot
Period	15/05/26 → 18/05/26

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Aggregator
clearing algorithm
demand response
distributed PV storage
spot market

Access to Document

10.1109/ICPST69917.2026.11637529

Cite this

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. In ICPST 2026 - 2026 IEEE 4th International Conference on Power Science and Technology (pp. 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 et al. / 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. pp. 647-652 (ICPST 2026 - 2026 IEEE 4th International Conference on Power Science and Technology).

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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. in 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., pp. 647-652, 2026 IEEE 4th International Conference on Power Science and Technology, ICPST 2026, Hohhot, China, 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 et al.
ICPST 2026 - 2026 IEEE 4th International Conference on Power Science and Technology. Institute of Electrical and Electronics Engineers Inc., 2026. p. 647-652 (ICPST 2026 - 2026 IEEE 4th International Conference on Power Science and Technology).

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

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. In ICPST 2026 - 2026 IEEE 4th International Conference on Power Science and Technology. Institute of Electrical and Electronics Engineers Inc. 2026. p. 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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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