2,542 research outputs found
Event-triggered distributed MPC for resilient voltage control of an islanded microgrid
This paper addresses the problem of distributed secondary voltage control of
an islanded microgrid (MG) from a cyber-physical perspective. An
event-triggered distributed model predictive control (DMPC) scheme is designed
to regulate the voltage magnitude of each distributed generators (DGs) in order
to achieve a better trade-off between the control performance and communication
and computation burdens. By using two novel event triggering conditions that
can be easily embedded into the DMPC for the application of MG control, the
computation and communication burdens are significantly reduced with negligible
compromise of control performance. In addition, to reduce the sensor cost and
to eliminate the negative effects of non-linearity, an adaptive non-asymptotic
observer is utilized to estimate the internal and output signals of each DG.
Thanks to the deadbeat observation property, the observer can be applied
periodically to cooperate with the DMPC-based voltage regulator. Finally, the
effectiveness of the proposed control method has been tested on a simple
configuration with 4 DGs and the modified IEEE-13 test system through several
representative scenarios
Cyber-Resilient Self-Triggered Distributed Control of Networked Microgrids Against Multi-Layer DoS Attacks
Networked microgrids with high penetration of
distributed generators have ubiquitous remote information exchange, which may be exposed to various cyber security threats.
This paper, for the first time, addresses a consensus problem
in terms of frequency synchronisation in networked microgrids
subject to multi-layer denial of service (DoS) attacks, which could
simultaneously affect communication, measurement and control
actuation channels. A unified notion of Persistency-of-Data-Flow
(PoDF) is proposed to characterise the data unavailability in
different information network links, and further quantifies the
multi-layer DoS effects on the hierarchical system. With PoDF,
we provide a sufficient condition of the DoS attacks under
which the consensus can be preserved with the proposed edgebased self-triggered distributed control framework. In addition,
to mitigate the conservativeness of offline design against the
worst-case attack across all agents, an online self-adaptive scheme
of the control parameters is developed to fully utilise the latest
available information of all data transmission channels. Finally,
the effectiveness of the proposed cyber-resilient self-triggered
distributed control is verified by representative case studies
Density alteration in non-physiological cells
In the present study an important phenomenon of cells was discovered: the change of intracellular density in cell's response to drug and environmental factors. For convenience, this phenomenon is named as "density alteration in non-physiological cells" ( DANCE). DANCE was determined by discontinuous sucrose gradient centrifugation (DSGC), in which cells were separated into several bands. The number and position of the bands in DSGC varied with the change of cell culture conditions, drugs, and physical process, indicating that cell's response to these factors was associated with alteration of intracellular density. Our results showed that the bands of cells were molecularly different from each other, such as the expression of some mRNAs. For most cells tested, intracellular density usually decreased when the cells were in bad conditions, in presence of drugs, or undergoing pathological changes. However, unlike other tissue cells, brain cells showed increased intracellular density in 24 hrs after the animal death. In addition, DANCE was found to be related to drug resistance, with higher drug-resistance in cells of lower intracellular density. Further study found that DANCE also occurred in microorganisms including bacteria and fungus, suggesting that DANCE might be a sensitive and general response of cells to drugs and environmental change. The mechanisms for DANCE are not clear. Based on our study the following causes were hypothesized: change of metabolism mode, change of cell membrane function, and pathological change. DANCE could be important in medical and biological sciences. Study of DANCE might be helpful to the understanding of drug resistance, development of new drugs, separation of new subtypes from a cell population, forensic analysis, and importantly, discovery of new physiological or pathological properties of cells
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