Multi-Load and Electric Vehicle Aggregation Participate in Market Scheduling Research

At present, how to aggregate the regulatory capabilities of a vast number of various types of new market entities is the challenge faced by new market entities in participating in the power market dispatching. For diverse and heterogeneous loads such as electric vehicles and air conditioners, a two-layer aggregation dispatching method for their participation in the power market is proposed. A node and distribution network aggregator architecture is constructed. The identification process of power grid demand orientation is designed. A regulation capacity model with constraints is established. The effectiveness of the method is verified through cases to achieve the aggregation response of load regulation capacity to power grid demand. It provides a foundation for tapping the regulatory potential of new types of market entities and promoting their active participation in the market.

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Publication Details

Published
2025-04-25
DOI
https://doi.org/10.1109/nesp65198.2025.11040262
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.00
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Multi-Load and Electric Vehicle Aggregation Participate in Market Scheduling Research

Ziming Ma, Shuai Hao, Hongyi Zhang, Xian Zhang et al.
Electric Vehicles and Infrastructure
article

Multi-Load and Electric Vehicle Aggregation Participate in Market Scheduling Research

Ziming Ma, Shuai Hao, Hongyi Zhang, Xian Zhang, Yueting Sun, Peng Ji, Xin Chang, Hexiao Liang, Xinhua Zhang
article en

Abstract

At present, how to aggregate the regulatory capabilities of a vast number of various types of new market entities is the challenge faced by new market entities in participating in the power market dispatching. For diverse and heterogeneous loads such as electric vehicles and air conditioners, a two-layer aggregation dispatching method for their participation in the power market is proposed. A node and distribution network aggregator architecture is constructed. The identification process of power grid demand orientation is designed. A regulation capacity model with constraints is established. The effectiveness of the method is verified through cases to achieve the aggregation response of load regulation capacity to power grid demand. It provides a foundation for tapping the regulatory potential of new types of market entities and promoting their active participation in the market.

North China Electric Power University (CN), Chinese University of Hong Kong (HK), Beihang University (CN), University of Hong Kong (HK)
Openalex Percentile: Top 87%
Electric Vehicles and Infrastructure
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