Robust trajectory-constrained frequency control for microgrids considering model linearization error

Zhang, Yichen; Chen, Chen; Hong, Tianqi; Cui, Bai; Xu, Zhe; Chen, Bo; Qiu, Feng

doi:10.1016/j.apenergy.2022.120559

Robust trajectory-constrained frequency control for microgrids considering model linearization error

Journal Article · Fri Dec 30 00:00:00 EST 2022 · Applied Energy

DOI:https://doi.org/10.1016/j.apenergy.2022.120559· OSTI ID:1922629

; ; ; Cui, Bai; ; ; Qiu, Feng

Grid supportive modes integrated within inverter-based resources can improve the frequency response of renewable-rich microgrids. The synthesis of grid supportive modes to guarantee frequency trajectory constraints under a predefined disturbance set is challenging but essential. To tackle this challenge, a numerical optimal control (NOC)-based control synthesis methodology is proposed. Without loss of generality, a wind-diesel fed microgrid is studied, where we aim to design grid supportive functions in the wind turbine. In the control design, linearized models are used, and the linearization-induced errors are quantitatively analyzed by reachability and interval arithmetics and represented in the form of interval uncertainties. Then, the NOC problem can be formulated into a robust mixed-integer linear program. The control structure is strategically configured into two levels to realize online deployment. The proposed control is verified on the modified 33-node microgrid with a full-order three-phase nonlinear model in Simulink. In conclusion, the simulation results show the effectiveness of the proposed control paradigm and the necessity of considering linearization-induced uncertainty.

View Accepted Manuscript (DOE)

Research Organization:: Argonne National Laboratory (ANL), Argonne, IL (United States); National Renewable Energy Laboratory (NREL), Golden, CO (United States)

Sponsoring Organization:: USDOE Advanced Research Projects Agency - Energy (ARPA-E)

Grant/Contract Number:: AC02-06CH11357; AC36-08GO28308

OSTI ID:: 1922629

Alternate ID(s):: OSTI ID: 2324782
OSTI ID: 1908006

Report Number(s):: NREL/JA--5D00-85178; MainId:85951; UUID:aff42186-efe9-49d2-b602-cb627badcd27; MainAdminId:68599

Journal Information:: Applied Energy, Journal Name: Applied Energy Vol. 333; ISSN 0306-2619

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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