Nonlinear Multiple Models Adaptive Secondary Voltage Control of Microgrids

Ma, Zixiao; Wang, Zhaoyu; Guo, Yifei; Yuan, Yuxuan; Chen, Hao

doi:10.1109/tsg.2020.3023307

Nonlinear Multiple Models Adaptive Secondary Voltage Control of Microgrids

Journal Article · Fri Sep 10 00:00:00 EDT 2021 · IEEE Transactions on Smart Grid

DOI:https://doi.org/10.1109/tsg.2020.3023307· OSTI ID:1765350

^[1]; ^[2]; Guo, Yifei ^[2]; ^[2]; Chen, Hao ^[3]

Iowa State Univ., Ames, IA (United States); Iowa State University
Iowa State Univ., Ames, IA (United States)
Tesla, Palo Alto, CA (United States)

This article proposes a model-free secondary voltage control (SVC) for microgrids (MG) using nonlinear multiple models adaptive control. Firstly, a linear robust adaptive controller is designed to guarantee the voltage stability in the bounded-input- bounded-output (BIBO) manner so as to meet the operation requirements of MGs. Secondly, a nonlinear adaptive controller is developed to improve the voltage tracking performance with the help of artificial neural networks (ANNs). A switching mechanism for coordinating such two controllers is designed to guarantee the closed-loop stability while achieving accurate voltage tracking. Here, by an online identification based on the input and output data of MGs, the proposed method does not resort to any apriori information of system model and primary control, thus exhibiting good robustness, ease of deployment and disturbance rejection.

View Accepted Manuscript (DOE)

Research Organization:: Iowa State Univ., Ames, IA (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Water Power Technologies Office; USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Wind Energy Technologies Office

Grant/Contract Number:: EE0008956

OSTI ID:: 1765350

Journal Information:: IEEE Transactions on Smart Grid, Journal Name: IEEE Transactions on Smart Grid Journal Issue: 1 Vol. 12; ISSN 1949-3053

Publisher:: IEEECopyright Statement

Country of Publication:: United States

Language:: English

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17 WIND ENERGY
Artificial neural network (ANN)
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microgrid (MG)
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Nonlinear Multiple Models Adaptive Secondary Voltage Control of Microgrids

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