A Trading Model for the Electricity Spot Market That Takes into Account the Preference for Energy Storage Trading

With the continuous expansion of new energy installed capacity, the flexible regulation role of energy storage in the electricity spot market is becoming more and more prominent. However, traditional trading models often ignore the multiple trading preferences of energy storage. In this paper, we propose an electricity spot market trading model that considers the trading preferences of energy storage to incentivize energy storage to participate more actively in the market. First, the trading preferences of energy storage are modeled with a utility function in which the time preference coefficient and price elasticity are introduced. Then, the utility function is embedded into the spot market clearing model to establish a two-tier model of the spot market, which maximizes social welfare in the upper tier and maximizes energy storage benefits in the lower tier. Finally, the model is solved using KKT and large M methods, and its effectiveness is evaluated on the IEEE39 node system and on a real grid in a specific region.

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Publication Details

Journal
Energies
Published
2025-05-01
DOI
https://doi.org/10.3390/en18092322
Citations
4
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
2.92

Funders

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article

A Trading Model for the Electricity Spot Market That Takes into Account the Preference for Energy Storage Trading

Bo Liu, Jiang Li, Qian Ma
4 citations
Energies
Smart Grid Energy Management
2.92
article

A Trading Model for the Electricity Spot Market That Takes into Account the Preference for Energy Storage Trading

Bo Liu, Jiang Li, Qian Ma
article en
4 citations

Abstract

With the continuous expansion of new energy installed capacity, the flexible regulation role of energy storage in the electricity spot market is becoming more and more prominent. However, traditional trading models often ignore the multiple trading preferences of energy storage. In this paper, we propose an electricity spot market trading model that considers the trading preferences of energy storage to incentivize energy storage to participate more actively in the market. First, the trading preferences of energy storage are modeled with a utility function in which the time preference coefficient and price elasticity are introduced. Then, the utility function is embedded into the spot market clearing model to establish a two-tier model of the spot market, which maximizes social welfare in the upper tier and maximizes energy storage benefits in the lower tier. Finally, the model is solved using KKT and large M methods, and its effectiveness is evaluated on the IEEE39 node system and on a real grid in a specific region.

EnergiesVol. 18(9)
Shanghai University of Electric Power (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 9%
Smart Grid Energy Management
2.92
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