Research on strategies of reducing loss of distribution network under the interaction of source, charge, and storage

Beitao Zhao; Ruiqing Fan; Baojian Zhang; Huimin Zhang; Xinghua Zhou; Panni Li

doi:10.1117/12.2646768

7 September 2022 Research on strategies of reducing loss of distribution network under the interaction of source, charge, and storage

Beitao Zhao, Ruiqing Fan, Baojian Zhang, Huimin Zhang, Xinghua Zhou, Panni Li

Author Affiliations +

Proceedings Volume 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022); 1232933 (2022) https://doi.org/10.1117/12.2646768
Event: Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 2022, Changsha, China

Abstract

The proposal of the "double carbon" goal puts forward higher requirements for the energy transformation of the power industry. With the access of multiple loads, more and more complex diversity and random uncertainty problems are brought to the power grid. Therefore, a strategy of reducing loss of distribution network under the interaction of source network load and storage is proposed. Firstly, the multi load output characteristics of clean energy, electric vehicles and energy storage systems are studied. Secondly, based on the multi load output characteristics, the strategies and model of reducing loss of distribution network under the interaction of source network load and storage is constructed. Finally, an example is analyzed. The results show that the proposed the strategies of reducing loss of distribution network under the interaction of source, network, load and storage can better coordinate power grid resources and improve energy efficiency.

Citation Download Citation

Beitao Zhao, Ruiqing Fan, Baojian Zhang, Huimin Zhang, Xinghua Zhou, and Panni Li "Research on strategies of reducing loss of distribution network under the interaction of source, charge, and storage", Proc. SPIE 12329, Third International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2022), 1232933 (7 September 2022); https://doi.org/10.1117/12.2646768

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