New energy joint energy storage participates in the power market optimization strategy research

In the context of building a new electricity system, new energy presents a scale development trend. However, new energy power generation is stochastic and volatile, and the high proportion of access puts forward higher requirements on the flexibility adjustment ability of the power system. Therefore, many provinces require new energy field stations to be equipped with energy storage. This paper investigates the optimization strategy of new energy and energy storage under different capacity ratios, introduces the mode of new energy participation in the power market, constructs two optimization models of new energy participating in the market independently and participating in the market with energy storage, and discusses the transaction strategy of different storage capacity ratios participating in the market, and finds that the new energy configuration of energy storage can reduce the fluctuation of new energy and reduce the abandonment of wind and light of new energy. Through comparison, it is found that new energy storage can reduce the volatility of new energy, reduce the new energy wind and light abandonment phenomenon, improve the utilization rate of wind and light resources, increase the overall revenue, and realize the win-win situation of new energy and energy storage.

Authors

Institutions

Publication Details

Published
2025-08-08
DOI
https://doi.org/10.1109/iaeac65194.2025.11166224
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

New energy joint energy storage participates in the power market optimization strategy research

Hengyi Liu, Chongren Liu
Integrated Energy Systems Optimization
article

New energy joint energy storage participates in the power market optimization strategy research

Hengyi Liu, Chongren Liu
article en

Abstract

In the context of building a new electricity system, new energy presents a scale development trend. However, new energy power generation is stochastic and volatile, and the high proportion of access puts forward higher requirements on the flexibility adjustment ability of the power system. Therefore, many provinces require new energy field stations to be equipped with energy storage. This paper investigates the optimization strategy of new energy and energy storage under different capacity ratios, introduces the mode of new energy participation in the power market, constructs two optimization models of new energy participating in the market independently and participating in the market with energy storage, and discusses the transaction strategy of different storage capacity ratios participating in the market, and finds that the new energy configuration of energy storage can reduce the fluctuation of new energy and reduce the abandonment of wind and light of new energy. Through comparison, it is found that new energy storage can reduce the volatility of new energy, reduce the new energy wind and light abandonment phenomenon, improve the utilization rate of wind and light resources, increase the overall revenue, and realize the win-win situation of new energy and energy storage.

North China Electric Power University (CN), State Grid Corporation of China (China) (CN)
Openalex Percentile: Top 74%
Integrated Energy Systems Optimization
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.

New energy joint energy storage participates in the power market optimization strategy research — Hengyi Liu, Chongren Liu · (2025) | TGRS Research Map | TGRS