Mixed-Integer Programming Based Optimal Allocation Method for Energy Storage Form and Capacity

In order to alleviate the load imbalance and frequency shift in the grid caused by the fluctuation of new energy generation, energy storage systems are usually allocated in new energy power stations. However, the energy storage form effected by the impact of evaluation factors such as safety and environmental protection are not quantitatively considered in the existing storage capacity allocation methods. This paper presents a mixed-integer programming-based method for the optimal allocation of energy storage form and capacity. Firstly, allocation for energy storage form and capacity is transformed into mixedinteger programming problem. Secondly, the objective function considering indices of safety and environmental protection is constructed considering energy storage form and capacity. And discrete constraints for energy storage form are presented. Finally, energy storage form and energy storage capacity are allocated by optimization algorithm. Case and analysis show the effectiveness of proposed method.

Authors

Institutions

Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/ifeea64237.2024.10878748
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mixed-Integer Programming Based Optimal Allocation Method for Energy Storage Form and Capacity

Zongshang Li, Yongqi Guo, Tong Zhou, Ce Wang et al.
Power Systems and Renewable Energy
article

Mixed-Integer Programming Based Optimal Allocation Method for Energy Storage Form and Capacity

Zongshang Li, Yongqi Guo, Tong Zhou, Ce Wang, Huichun Zhao, Yong Chang
article en

Abstract

In order to alleviate the load imbalance and frequency shift in the grid caused by the fluctuation of new energy generation, energy storage systems are usually allocated in new energy power stations. However, the energy storage form effected by the impact of evaluation factors such as safety and environmental protection are not quantitatively considered in the existing storage capacity allocation methods. This paper presents a mixed-integer programming-based method for the optimal allocation of energy storage form and capacity. Firstly, allocation for energy storage form and capacity is transformed into mixedinteger programming problem. Secondly, the objective function considering indices of safety and environmental protection is constructed considering energy storage form and capacity. And discrete constraints for energy storage form are presented. Finally, energy storage form and energy storage capacity are allocated by optimization algorithm. Case and analysis show the effectiveness of proposed method.

China Three Gorges Corporation (China) (CN)
National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 69%
Power Systems and Renewable Energy
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.

Mixed-Integer Programming Based Optimal Allocation Method for Energy Storage Form and Capacity — Zongshang Li, Yongqi Guo, et al. · (2024) | TGRS Research Map | TGRS