Journal article
Distributed continuous time-varying optimization for microgrids with heterogeneous renewable energy systems
- Abstract:
- Microgrid control systems are implemented using a hierarchical framework comprising primary, secondary and tertiary control levels. This paper proposes a distributed, time varying optimization method for the secondary control level of heterogeneous energy sources (photovoltaics and batteries) in a microgrid. The method addresses time-varying objectives and constraints while achieving frequency and voltage regulation and optimal power sharing. Its main advantages are: (i) provision of continuous-time optimal control inputs that adapt to fast changes in generation and load; (ii) seamless interaction with grid forming and grid following converters; (iii) adaptive real/reactive power sharing and battery state-of-charge balancing based on net power and state of charge; and (iv) implementation over a sparse neighbor-to-neighbor communication graph. Real-time validation on a modified IEEE 13- and 37- test feeder using RTDS with a server-side solver, hardware-in-the-loop, confirms feasibility. Compared with established distributed secondary control schemes, the proposed controller reduces frequency and voltage root-mean-square regulation errors, lowers the maximum observed voltage deviation under load or renewable disturbances, and achieves a lower cumulative operating cost while maintaining all battery state-of-charge trajectories balanced. Scalability and heterogeneity are further demonstrated on an islanded IEEE 37 bus case with mixed grid forming and grid following resources.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Accepted manuscript, pdf, 11.9MB, Terms of use)
-
- Publisher copy:
- 10.1109/tpwrs.2025.3629155
Authors
+ National Natural Science Foundation of China
More from this funder
- Funder identifier:
- https://ror.org/01h0zpd94
- Publisher:
- IEEE
- Journal:
- IEEE Transactions on Power Systems More from this journal
- Publication date:
- 2025-11-05
- Acceptance date:
- 2025-10-27
- DOI:
- EISSN:
-
1558-0679
- ISSN:
-
0885-8950
- Language:
-
English
- Keywords:
- Pubs id:
-
2335219
- Local pid:
-
pubs:2335219
- Deposit date:
-
2025-12-19
- ARK identifier:
Terms of use
- Copyright holder:
- IEEE
- Copyright date:
- 2025
- Rights statement:
- Copyright © 2025, IEEE
- Notes:
- The author accepted manuscript (AAM) of this paper has been made available under the University of Oxford's Open Access Publications Policy, and a CC BY public copyright licence has been applied.
- Licence:
- CC Attribution (CC BY)
If you are the owner of this record, you can report an update to it here: Report update to this record