A distributionally robust chance-constrained approach for distributed generation hosting capacity evaluation considering soft open points

Ruizhi Cao; Aoqi Li; Ming Wu; Jun Liu; Wenqiang Xie; Qiangren Zheng

doi:10.1117/12.3050672

12 December 2024 A distributionally robust chance-constrained approach for distributed generation hosting capacity evaluation considering soft open points

Ruizhi Cao, Aoqi Li, Ming Wu, Jun Liu, Wenqiang Xie, Qiangren Zheng

Author Affiliations +

Proceedings Volume 13419, Tenth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2024); 1341923 (2024) https://doi.org/10.1117/12.3050672
Event: Tenth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2024), 2024, Lhasa, China

Abstract

The wide integration of distributed generation (DG) imposes a huge influence on distribution network (DN) and even leads to the risk of thermal overload and voltage violation. Therefore, it is significant to evaluate DG hosting capacity and judge the feasibility of all DG integrated requests. First, this paper proposes the definition of robust location for DG hosting capacity, especially when soft open points (SOPs) and distribution network reconfiguration are considered. All DG integrated requests are allowable if the sum of them do not exceed DG hosting capacity in robust location. Then, a Wasserstein distributionally robust optimization (WDRO) model with chance constraint is formulated to evaluate DG hosting capacity in DN with SOPs. Meanwhile, a systematic solution procedure is developed for the proposed nonlinear optimization model. Numerical results authenticate the effectiveness of WDRO with chance constraint and effects of SOPs and network reconfiguration to improve DG hosting capacity.

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

Citation Download Citation

Ruizhi Cao, Aoqi Li, Ming Wu, Jun Liu, Wenqiang Xie, and Qiangren Zheng "A distributionally robust chance-constrained approach for distributed generation hosting capacity evaluation considering soft open points", Proc. SPIE 13419, Tenth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2024), 1341923 (12 December 2024); https://doi.org/10.1117/12.3050672

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