Research on power grid planning considering composite energy storage model

Panlong Jin; Zongchuan Zhou; Xue Feng; Zhiyuan Wang; Tengmu Li

doi:10.1117/12.3024483

13 May 2024 Research on power grid planning considering composite energy storage model

Panlong Jin, Zongchuan Zhou, Xue Feng, Zhiyuan Wang, Tengmu Li

Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 131591L (2024) https://doi.org/10.1117/12.3024483
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China

Abstract

This study addresses the challenges of short and long-term power fluctuations in grid planning by establishing a composite energy storage model that considers both hydrogen energy storage and electrochemical energy storage. The paper presents a grid planning model incorporating load storage, facilitating peak shaving, and supporting operations across various time scales. The proposed model is solved using an enhanced Firefly algorithm, and case studies demonstrate the method's effectiveness in reducing overall costs and enhancing operational performance.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Panlong Jin, Zongchuan Zhou, Xue Feng, Zhiyuan Wang, and Tengmu Li "Research on power grid planning considering composite energy storage model", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 131591L (13 May 2024); https://doi.org/10.1117/12.3024483

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available