Incentive Bidding Strategies for the Participation of Battery Energy Storage in the Electricity Market

The high penetration of renewable energy into the grid is an important characteristic of future power systems. Renewable energy sources, represented by wind and solar power, exhibit intermittency and variability, making it increasingly challenging to maintain the rigid balance between electricity generation and consumption in traditional power systems. Battery energy storage (BES) has the potential to enable the spatial and temporal transfer and conversion of energy, thus becoming a crucial enabling technology for the new power systems. However, both theory and practice have shown that the prevalent marginal price clearing mechanism adopted in foreign electricity markets fails to adequately capture the market value of energy storage. To meet the requirements of individual rationality and incentive compatibility for energy storage units under the constraint of minimizing market clearing costs, the Vickrey-Clarke-Groves (VCG) mechanism design theory is applied. A market clearing model is established for energy storage participating in the day-ahead joint electrical energy and frequency regulation ancillary services market. Using a 2-node system and a modified IEEE 39-node system as examples, the basic characteristics of the market clearing electricity price mechanism for energy storage bidding for electrical energy and frequency regulation ancillary services are illustrated. Simulation results demonstrate that the VCG pricing mechanism satisfies the requirements of incentive compatibility and individual rationality for energy storage.

Authors

Institutions

Publication Details

Published
2025-04-25
DOI
https://doi.org/10.1109/nesp65198.2025.11041489
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Incentive Bidding Strategies for the Participation of Battery Energy Storage in the Electricity Market

Jie Liu, Yan Tian, Jianping Zhao, Mingbo Wu et al.
Smart Grid Energy Management
article

Incentive Bidding Strategies for the Participation of Battery Energy Storage in the Electricity Market

Jie Liu, Yan Tian, Jianping Zhao, Mingbo Wu, Xin Li, Haili Wang, Yuhao Duan, Yadong Wen
article en

Abstract

The high penetration of renewable energy into the grid is an important characteristic of future power systems. Renewable energy sources, represented by wind and solar power, exhibit intermittency and variability, making it increasingly challenging to maintain the rigid balance between electricity generation and consumption in traditional power systems. Battery energy storage (BES) has the potential to enable the spatial and temporal transfer and conversion of energy, thus becoming a crucial enabling technology for the new power systems. However, both theory and practice have shown that the prevalent marginal price clearing mechanism adopted in foreign electricity markets fails to adequately capture the market value of energy storage. To meet the requirements of individual rationality and incentive compatibility for energy storage units under the constraint of minimizing market clearing costs, the Vickrey-Clarke-Groves (VCG) mechanism design theory is applied. A market clearing model is established for energy storage participating in the day-ahead joint electrical energy and frequency regulation ancillary services market. Using a 2-node system and a modified IEEE 39-node system as examples, the basic characteristics of the market clearing electricity price mechanism for energy storage bidding for electrical energy and frequency regulation ancillary services are illustrated. Simulation results demonstrate that the VCG pricing mechanism satisfies the requirements of incentive compatibility and individual rationality for energy storage.

Shaoxing University (CN), Inner Mongolia Electric Power (China) (CN), Hangzhou Wanxiang Polytechnic (CN), Zhejiang University (CN), Zhejiang University of Finance and Economics (CN)
Affordable and clean energy
Openalex Percentile: Top 87%
Smart Grid Energy Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.