Abstract
Existing algorithms to solve alternating-current optimal power flow (AC-OPF) often exploit linear approximations to simplify system models and accelerate computations. In this paper, we improve a recent hierarchical OPF algorithm, which rested on primal-dual gradients evaluated in a linearized distribution power flow model. Specifically, we identify a risk of voltage violation arising from the model linearization, and propose a more accurate gradient evaluation method to eliminate that risk. We further develop a hierarchical primal-dual algorithm to solve OPF based on the proposed gradient evaluation method. Numerical results on IEEE networks show that our algorithm can enhance voltage safety with satisfactory computational efficiency.
| Original language | American English |
|---|---|
| Pages | 4547-4552 |
| Number of pages | 6 |
| DOIs | |
| State | Published - 2022 |
| Event | 2022 American Control Conference, ACC 2022 - Atlanta, United States Duration: 8 Jun 2022 → 10 Jun 2022 |
Conference
| Conference | 2022 American Control Conference, ACC 2022 |
|---|---|
| Country/Territory | United States |
| City | Atlanta |
| Period | 8/06/22 → 10/06/22 |
Bibliographical note
Publisher Copyright:© 2022 American Automatic Control Council.
NLR Publication Number
- NREL/CP-5D00-84186
Keywords
- distributed algorithm
- distritbution system
- hierarchical algorithm
- optimal power flow
Fingerprint
Dive into the research topics of 'Hierarchical Optimal Power Flow with Improved Gradient Evaluation'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver