Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/143151
Title: A novel composite nonlinear controller for stabilization of constant power load in DC microgrid
Authors: Xu, Qianwen
Zhang, Chuanlin
Wen, Changyun
Wang, Peng
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2017
Source: Xu, Q., Zhang, C., Wen, C., & Wang, P. (2019). A novel composite nonlinear controller for stabilization of constant power load in DC microgrid. IEEE Transactions on Smart Grid, 10(1), 752-761. doi:10.1109/TSG.2017.2751755
Journal: IEEE Transactions on Smart Grid
Abstract: Transportation electrification involves the wide utilization of power electronics based dc distribution networks and the integration of a large amount of power electronic loads. These power electronic loads, when tightly controlled, behave as constant power loads (CPLs) and may cause system instability when interacting with their source converters. In this paper, a composite nonlinear controller is proposed for stabilizing dc/dc boost converter feeding CPLs by integrating a nonlinear disturbance observer (NDO)-based feedforward compensation with backstepping design algorithm. First, the model is transformed into the Brunovsky's canonical form using the exact feedback linearization technique, to handle the nonlinearity introduced by the CPL. Second, the NDO technique is adopted to estimate the load power variation within a fast dynamic response, serving as a feedforward compensation to increase the accuracy of output voltage regulation. Then a nonlinear controller is developed by following the step-by-step backstepping algorithm with strictly guaranteed large signal stability. The proposed controller not only ensures global stability under large variation of the CPL but also features fast dynamic response with accurate tracking over wide operating range. Both simulations and experiments are conducted to verify the proposed strategy.
URI: https://hdl.handle.net/10356/143151
ISSN: 1949-3053
DOI: 10.1109/TSG.2017.2751755
Rights: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/TSG.2017.2751755.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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