A Novel DC Voltage Control Strategy for DC Distribution Based on Adaptive Droop Control

Huo, Xianxu; Xie, Xingfeng; Wu, Zheng-Mao; Cao, Xiaoyong

doi:10.1109/icgea49367.2020.241505

Cited by 2 publications

(1 citation statement)

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“…An adaptive droop control strategy is introduced in [145], where a variable droop coefficient strategy is able to adjust the ratio of energy storage unit power online, reduce the DC bus voltage fluctuations and improve the system stability. A master-slave control strategy is proposed in [146] based on the adaptive droop controller of the voltage source converter. The adaptive droop control in [147], forces the units to share the power according to the available headroom of each converter station.…”

Section: Adaptive Droopmentioning

confidence: 99%

Advanced Hierarchical Control and Stability Analysis of DC Microgrids

Braitor

2022

Springer Theses

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source is rigorously proven using ultimate boundedness theory. Asymptotic stability to the desired equilibrium for the closed-loop system is analytically guaranteed, and detailed conditions are derived to guide the control design. v In order to validate the effectiveness of the different control methodologies developed in this thesis, both simulation and experimental testing are performed for each one of the methods, and are also compared with the conventional approaches to highlight their superiority. vi xi 5.4 Simulation results of the system states of two parallel operated DC/DC boost converters under the proposed controller . . . . . . . . . . . . . 5.5 Simulation results of the controller states of two parallel operated DC/DC boost converters under the proposed controller . . . . . . . . 5.6 DC microgrid configuration with n paralleled unidirectional DC/DC boost converters feeding a common generic load.

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Section: Adaptive Droopmentioning

confidence: 99%