A holomorphic embedding power flow method based on dynamic power restart
The holomorphic embedding method (HEM) is a newly developed recursive algorithm, which has the advantages of not depending on initial value selection and providing an analytical solution. However, in the actual power flow calculation of large power grids with heavy loads, HEM needs to calculate high...
Saved in:
| Main Authors: | Yi Zhang, Tian Lan, Chuandong Li, Weijie Cai, Zhiyu Lin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-10-01
|
| Series: | International Journal of Electrical Power & Energy Systems |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0142061525004715 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Analytical segmental holomorphic embedding power flow method for integrated transmission and distribution networks
by: Yongjian Luo, et al.
Published: (2025-09-01) -
A Novel Recursive Methodology for Power Flow Analysis Based on the Holomorphic Embedding Method Using the Total Multiplication of Polynomials
by: Glaucus R. S. Lima, et al.
Published: (2025-01-01) -
Backtracking Restarts for Deep Reinforcement Learning
by: Zaid Khalil Marji, et al.
Published: (2021-04-01) -
Business Restart in Visegrad Countries
by: Marian Holienka, et al.
Published: (2014-03-01) -
Grid structure optimization using slow coherency theory and holomorphic embedding method
by: Fei Tang, et al.
Published: (2025-03-01)