Energy Storage Capacity Optimization and Sensitivity Analysis of Wind-Solar Power Generation System

Pengfei Zhang; Jiandong Duan; Yuhui Li; Bo Shao; Luxiao Wang; Yiming Xu

doi:10.1007/978-981-96-1856-9_25

Energy Storage Capacity Optimization and Sensitivity Analysis of Wind-Solar Power Generation System

Pengfei Zhang
, Jiandong Duan^*
, Yuhui Li
, Bo Shao
, Luxiao Wang
, Yiming Xu

^*Corresponding author for this work

School of Electrical Engineering and Automation, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Wind-solar integration with energy storage is an available strategy for facilitating the grid synthesis of large-scale renewable energy sources generation. Currently, the huge expenses of energy storage is a significant constraint on the economic viability of wind-solar integration. This paper aims to optimize the net profit of a wind-solar energy storage station operating under the tie-line adjustment mode of scheduling over a specific time period. The optimization objective is to maximize net profit, considering three economic indicators: revenue from selling electricity generated by the wind-solar energy storage station, costs associated with energy storage construction and losses, and scheduling deviation assessment cost. Establishing a model to optimize energy storage capacity based on these indicators. The model is utilized to identify the optimal energy storage capacity setup for maximizing net profit. Finally, sensitivity analysis of the scheduling deviation assessment cost is conducted to explore the impact of variations in scheduling deviation assessment cost on the economic viability and electrical output quality of wind-solar energy storage stations.

Original language	English
Title of host publication	The Proceedings of 2024 International Conference of Electrical, Electronic and Networked Energy Systems
Editors	Aimin Sha, Jishen Peng, Cancan Rong, Li Zhang, XIaoheng Yan, Zheming Jin
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	238-248
Number of pages	11
ISBN (Print)	9789819618552
DOIs	https://doi.org/10.1007/978-981-96-1856-9_25
State	Published - 2025
Externally published	Yes
Event	International Conference of Electrical, Electronic and Networked Energy Systems, EENES 2024 - Xi'an, China Duration: 18 Oct 2024 → 20 Oct 2024

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	1330 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	International Conference of Electrical, Electronic and Networked Energy Systems, EENES 2024
Country/Territory	China
City	Xi'an
Period	18/10/24 → 20/10/24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Allocation of energy storage capacity
Scheduling deviation assessment cost
Sensitivity analysis
Wind-solar hybrid power generation system

Access to Document

10.1007/978-981-96-1856-9_25

Cite this

Zhang, P., Duan, J., Li, Y., Shao, B., Wang, L., & Xu, Y. (2025). Energy Storage Capacity Optimization and Sensitivity Analysis of Wind-Solar Power Generation System. In A. Sha, J. Peng, C. Rong, L. Zhang, XI. Yan, & Z. Jin (Eds.), The Proceedings of 2024 International Conference of Electrical, Electronic and Networked Energy Systems (pp. 238-248). (Lecture Notes in Electrical Engineering; Vol. 1330 LNEE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-96-1856-9_25

Zhang, Pengfei ; Duan, Jiandong ; Li, Yuhui et al. / Energy Storage Capacity Optimization and Sensitivity Analysis of Wind-Solar Power Generation System. The Proceedings of 2024 International Conference of Electrical, Electronic and Networked Energy Systems. editor / Aimin Sha ; Jishen Peng ; Cancan Rong ; Li Zhang ; XIaoheng Yan ; Zheming Jin. Springer Science and Business Media Deutschland GmbH, 2025. pp. 238-248 (Lecture Notes in Electrical Engineering).

@inproceedings{bc98554e95074d2db18d495a1014f525,

title = "Energy Storage Capacity Optimization and Sensitivity Analysis of Wind-Solar Power Generation System",

abstract = "Wind-solar integration with energy storage is an available strategy for facilitating the grid synthesis of large-scale renewable energy sources generation. Currently, the huge expenses of energy storage is a significant constraint on the economic viability of wind-solar integration. This paper aims to optimize the net profit of a wind-solar energy storage station operating under the tie-line adjustment mode of scheduling over a specific time period. The optimization objective is to maximize net profit, considering three economic indicators: revenue from selling electricity generated by the wind-solar energy storage station, costs associated with energy storage construction and losses, and scheduling deviation assessment cost. Establishing a model to optimize energy storage capacity based on these indicators. The model is utilized to identify the optimal energy storage capacity setup for maximizing net profit. Finally, sensitivity analysis of the scheduling deviation assessment cost is conducted to explore the impact of variations in scheduling deviation assessment cost on the economic viability and electrical output quality of wind-solar energy storage stations.",

keywords = "Allocation of energy storage capacity, Scheduling deviation assessment cost, Sensitivity analysis, Wind-solar hybrid power generation system",

author = "Pengfei Zhang and Jiandong Duan and Yuhui Li and Bo Shao and Luxiao Wang and Yiming Xu",

note = "Publisher Copyright: {\textcopyright} Beijing Paike Culture Commu. Co., Ltd. 2025.; International Conference of Electrical, Electronic and Networked Energy Systems, EENES 2024 ; Conference date: 18-10-2024 Through 20-10-2024",

year = "2025",

doi = "10.1007/978-981-96-1856-9\_25",

language = "英语",

isbn = "9789819618552",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "238--248",

editor = "Aimin Sha and Jishen Peng and Cancan Rong and Li Zhang and XIaoheng Yan and Zheming Jin",

booktitle = "The Proceedings of 2024 International Conference of Electrical, Electronic and Networked Energy Systems",

address = "德国",

}

Zhang, P, Duan, J, Li, Y, Shao, B, Wang, L & Xu, Y 2025, Energy Storage Capacity Optimization and Sensitivity Analysis of Wind-Solar Power Generation System. in A Sha, J Peng, C Rong, L Zhang, XI Yan & Z Jin (eds), The Proceedings of 2024 International Conference of Electrical, Electronic and Networked Energy Systems. Lecture Notes in Electrical Engineering, vol. 1330 LNEE, Springer Science and Business Media Deutschland GmbH, pp. 238-248, International Conference of Electrical, Electronic and Networked Energy Systems, EENES 2024, Xi'an, China, 18/10/24. https://doi.org/10.1007/978-981-96-1856-9_25

Energy Storage Capacity Optimization and Sensitivity Analysis of Wind-Solar Power Generation System. / Zhang, Pengfei; Duan, Jiandong; Li, Yuhui et al.
The Proceedings of 2024 International Conference of Electrical, Electronic and Networked Energy Systems. ed. / Aimin Sha; Jishen Peng; Cancan Rong; Li Zhang; XIaoheng Yan; Zheming Jin. Springer Science and Business Media Deutschland GmbH, 2025. p. 238-248 (Lecture Notes in Electrical Engineering; Vol. 1330 LNEE).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Energy Storage Capacity Optimization and Sensitivity Analysis of Wind-Solar Power Generation System

AU - Zhang, Pengfei

AU - Duan, Jiandong

AU - Li, Yuhui

AU - Shao, Bo

AU - Wang, Luxiao

AU - Xu, Yiming

N1 - Publisher Copyright: © Beijing Paike Culture Commu. Co., Ltd. 2025.

PY - 2025

Y1 - 2025

N2 - Wind-solar integration with energy storage is an available strategy for facilitating the grid synthesis of large-scale renewable energy sources generation. Currently, the huge expenses of energy storage is a significant constraint on the economic viability of wind-solar integration. This paper aims to optimize the net profit of a wind-solar energy storage station operating under the tie-line adjustment mode of scheduling over a specific time period. The optimization objective is to maximize net profit, considering three economic indicators: revenue from selling electricity generated by the wind-solar energy storage station, costs associated with energy storage construction and losses, and scheduling deviation assessment cost. Establishing a model to optimize energy storage capacity based on these indicators. The model is utilized to identify the optimal energy storage capacity setup for maximizing net profit. Finally, sensitivity analysis of the scheduling deviation assessment cost is conducted to explore the impact of variations in scheduling deviation assessment cost on the economic viability and electrical output quality of wind-solar energy storage stations.

AB - Wind-solar integration with energy storage is an available strategy for facilitating the grid synthesis of large-scale renewable energy sources generation. Currently, the huge expenses of energy storage is a significant constraint on the economic viability of wind-solar integration. This paper aims to optimize the net profit of a wind-solar energy storage station operating under the tie-line adjustment mode of scheduling over a specific time period. The optimization objective is to maximize net profit, considering three economic indicators: revenue from selling electricity generated by the wind-solar energy storage station, costs associated with energy storage construction and losses, and scheduling deviation assessment cost. Establishing a model to optimize energy storage capacity based on these indicators. The model is utilized to identify the optimal energy storage capacity setup for maximizing net profit. Finally, sensitivity analysis of the scheduling deviation assessment cost is conducted to explore the impact of variations in scheduling deviation assessment cost on the economic viability and electrical output quality of wind-solar energy storage stations.

KW - Allocation of energy storage capacity

KW - Scheduling deviation assessment cost

KW - Sensitivity analysis

KW - Wind-solar hybrid power generation system

UR - https://www.scopus.com/pages/publications/105000297383

U2 - 10.1007/978-981-96-1856-9_25

DO - 10.1007/978-981-96-1856-9_25

M3 - 会议稿件

AN - SCOPUS:105000297383

SN - 9789819618552

T3 - Lecture Notes in Electrical Engineering

SP - 238

EP - 248

BT - The Proceedings of 2024 International Conference of Electrical, Electronic and Networked Energy Systems

A2 - Sha, Aimin

A2 - Peng, Jishen

A2 - Rong, Cancan

A2 - Zhang, Li

A2 - Yan, XIaoheng

A2 - Jin, Zheming

PB - Springer Science and Business Media Deutschland GmbH

T2 - International Conference of Electrical, Electronic and Networked Energy Systems, EENES 2024

Y2 - 18 October 2024 through 20 October 2024

ER -

Zhang P, Duan J, Li Y, Shao B, Wang L, Xu Y. Energy Storage Capacity Optimization and Sensitivity Analysis of Wind-Solar Power Generation System. In Sha A, Peng J, Rong C, Zhang L, Yan XI, Jin Z, editors, The Proceedings of 2024 International Conference of Electrical, Electronic and Networked Energy Systems. Springer Science and Business Media Deutschland GmbH. 2025. p. 238-248. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-96-1856-9_25

Energy Storage Capacity Optimization and Sensitivity Analysis of Wind-Solar Power Generation System

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this