Low carbon optimal dispatch of power systems with energy storage and wind power

Haoen Li; Yumeng Jiang; Yuchen Qi; Shihao Wang; Ruanming Huang; Tianli Song; Min Cui; Ziqiu Liu; Kai Xia

doi:10.1117/12.3004906

9 October 2023 Low carbon optimal dispatch of power systems with energy storage and wind power

Haoen Li, Yumeng Jiang, Yuchen Qi, Shihao Wang, Ruanming Huang, Tianli Song, Min Cui, Ziqiu Liu, Kai Xia

Proceedings Volume 12791, Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023); 127910S (2023) https://doi.org/10.1117/12.3004906
Event: Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023), 2023, Qingdao, SD, China

Abstract

Using a regional integrated energy system with the advantages of multi-energy complementarity and coupling, it can comprehensively enhance the optimal allocation of multiple energy consumption. This paper proposes a multi-objective low-carbon optimal dispatch model for a regional integrated energy system , which fully exploits the advantages of heat storage devices, electric boilers and electric energy storage in regional energy systems to promote the grid-connected consumption of wind power. By establishing a load elastic demand response mechanism, the peak-to-valley difference level of system load is reduced to further enhance the grid access space of wind power. Finally, the proposed scheduling model is optimally solved using the NSGA-II algorithm under the improved elite strategy.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Haoen Li, Yumeng Jiang, Yuchen Qi, Shihao Wang, Ruanming Huang, Tianli Song, Min Cui, Ziqiu Liu, and Kai Xia "Low carbon optimal dispatch of power systems with energy storage and wind power", Proc. SPIE 12791, Third International Conference on Advanced Algorithms and Neural Networks (AANN 2023), 127910S (9 October 2023); https://doi.org/10.1117/12.3004906

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