Optimal Operation of Renewable Energy Bases Considering Short-Circuit Ratio and Transient Overvoltage Constraints

Siqi Zhang, Hanzhi Zhang, Hao Sheng (), Tianxiao Huang, Tianqi Zhao, Yinglin Liu, Shuaihao Kong and Lu Zhang
Additional contact information
Siqi Zhang: Electric Power Research Institute, State Grid Jibei Electric Power Company Limited, Beijing 100045, China
Hanzhi Zhang: Electric Power Research Institute, State Grid Jibei Electric Power Company Limited, Beijing 100045, China
Hao Sheng: Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, 92 Weijin Road, Nankai District, Tianjin 300072, China
Tianxiao Huang: Electric Power Research Institute, State Grid Jibei Electric Power Company Limited, Beijing 100045, China
Tianqi Zhao: Electric Power Research Institute, State Grid Jibei Electric Power Company Limited, Beijing 100045, China
Yinglin Liu: Electric Power Research Institute, State Grid Jibei Electric Power Company Limited, Beijing 100045, China
Shuaihao Kong: Electric Power Research Institute, State Grid Jibei Electric Power Company Limited, Beijing 100045, China
Lu Zhang: Electric Power Research Institute, State Grid Jibei Electric Power Company Limited, Beijing 100045, China

Energies, 2025, vol. 18, issue 5, 1-14

Abstract: The increasing integration of renewable energy bases into power systems poses significant challenges for voltage stability and operational optimization. This paper develops an optimization model to maximize the total generation output in a renewable energy base while satisfying short-circuit ratio (SCR), transient overvoltage (TOV), and conventional operational constraints. To address the inherent nonlinearity of power systems, the trajectory sensitivities of SCR and TOV with respect to the decision variables are calculated, allowing the original nonlinear optimization problem to be transformed into a linear programming (LP) problem for efficient solving. Recognizing that the LP-based solution may not strictly satisfy all constraints during time-domain simulation verification due to system nonlinearity, the continuation method is introduced to ensure that a refined solution that satisfies all constraints is obtained. Case studies conducted on a real-world renewable energy base demonstrate the effectiveness and feasibility of the proposed approach.

Keywords: renewable energy base; short-circuit ratio (SCR); transient overvoltage (TOV); linear programming; sensitivity analysis; power system optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/18/5/1256/pdf (application/pdf)
https://www.mdpi.com/1996-1073/18/5/1256/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:18:y:2025:i:5:p:1256-:d:1605213

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().