Stability Analysis of a DC MicroGrid for a Smart Railway Station Integrating Renewable Sources

Perez, Filipe; Iovine, Alessio; Damm, Gilney; Galaï-Dol, Lilia; Ribeiro, Paulo F.

doi:10.1109/tcst.2019.2924615

Cited by 46 publications

(27 citation statements)

References 59 publications

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“…Although the linear PI control technique is the most common strategy for powerconverters and microgrids implementations, since a PI control is designed for working around a linearized operation point, this is generally not able to cope with the system's non-linearities and disturbances. Specifically, in microgrid applications, the PI strategy presents a scarce dynamic response (such as bigger overshoots in transients and a slower speed response) as compared to the better performance and greater energy efficiency given by the nonlinear choice, see [26][27][28]. In addition, implementing a non-linear control does not require high computing resources [29].…”

Section: Non-linear Controlmentioning

confidence: 99%

Assessment of the Impact of Electric Vehicle Batteries in the Non-Linear Control of DC Microgrids

et al. 2021

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Several efforts need to be performed in transportation and energy production to mitigate the current environmental issues that are related to fossil fuel use. The implementation of DC microgrids and the use of electric vehicles seem to be an adequate solution. However, various technical challenges have to be addressed, like grid stability issues. Thus, this case report assesses the impact of an electric vehicle load in a DC microgrid, subject to nonlinear control theory. The EV battery pack is modeled and simulated. Subsequently, it is included as a load in an available model of nonlinear control of DC microgrids. The results demonstrate high stability with this new load and the feasibility of its implementation.

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Section: Non-linear Controlmentioning

confidence: 99%

Assessment of the Impact of Electric Vehicle Batteries in the Non-Linear Control of DC Microgrids

et al. 2021

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“…The principle of evil member classification using voltage injection is explained as follows. In a stable network after some node voltage variation, for a specific node i, its output voltage variation can be calculated in (5), in order to verify the status of a specific neighbour node j. In order to survive, if a node request the attacking node to adjust voltage, the attacker has no choice but to raise or drop its output voltage accordingly in honest, otherwise, unmatched current data will reveal the attacker after the network comes stable.…”

Section: B Neighbour Examinationmentioning

confidence: 99%

Authentication mechanism in converter-based DC network

Gong¹

2020

Preprint

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This paper proposes a novel event-triggered attack detection mechanism for multi-agent DC microgrid system. Under a distributive network framework, each node only collects its neighbours’ relative data to regulate its own output for inner system stabilization. Hardly can an agent identify the source of unexpected outside power ﬂow directly without power line current data, especially under an organized attack composed of voltage variation and corresponding deceptive messages. In order to recognize traitors who broadcast wrong data, aim for system distortion and even splitting, an efﬁcient attack detection and identiﬁcation strategy is mandatory. After the attack detector is triggered, each relative agent refuses to trust any received data directly before authentication. During two-step veriﬁcation by comparing theoretical estimated signals with received ones, both self sensors and neighbour nodes would be inspected, and the attacker was difﬁcult to hide himself only except Buck converters were employed globally. Through simulation on MATLAB/SIMULINK, the effectiveness of proposed detection algorithm has been proved.

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“…D UE to stochastic nature of renewable energy generation(REG), DC interconnection is advantageous for REG-integrated power system as its looser grid code, which merely pays attention to voltage magnitude and owns higher tolerance for system oscillations [1]- [3]. Moreover, integration facility and low conversion loss highlights the necessity of DC system deployment, especially in offshore or railway application scenarios [4], [5]. DC microgrid can be a economical and reliable scheme for REG-integrated power system, and its rapid emergence proves its priority to conventional AC grids [6]- [8].…”

Section: Introductionmentioning

confidence: 99%

A Novel Attack Identification Mechanism in IoT-Based Converter-Composed DC Grids

Gong¹

2022

Preprint

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This paper proposes a novel event-triggered attack detection mechanism for converter-based DC microgrid system. Under a distributive network framework, each node collects its neighbours' relative data to regulate its own output for local stabilization. Without power line current data, hardly can an agent directly identify the source of unexpected power flow, especially under an organized attack composed of voltage variations and corresponding deceptive messages. In order to recognize traitors who broadcast wrong data, target at system distortion and even splitting, an efficient attack detection and identification strategy is mandatory. After the attack detector is triggered, each relative agent refuses to trust any received data directly before authentication. Through proposed two-step verification by comparing theoretical estimated signals with received ones, both self sensors and neighbour nodes would be inspected, and the attacker was difficult to hide himself. Through simulation on SIMULINK/PLECS and hardware experiments on dSpace Platform, the effectiveness of proposed detection algorithm has been proved.

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Stability Analysis of a DC MicroGrid for a Smart Railway Station Integrating Renewable Sources

Cited by 46 publications

References 59 publications

Assessment of the Impact of Electric Vehicle Batteries in the Non-Linear Control of DC Microgrids

Assessment of the Impact of Electric Vehicle Batteries in the Non-Linear Control of DC Microgrids

Authentication mechanism in converter-based DC network

A Novel Attack Identification Mechanism in IoT-Based Converter-Composed DC Grids

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