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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

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Publisher copy:
10.1109/tpwrs.2025.3629155

Authors

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
Hertford College
Role:
Author
ORCID:
0000-0003-2781-9588


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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


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