This paper proposes a novel adaptive synthetic inertia (SI) control scheme for the battery energy storage system (BESS) in the wind farm. The proposed approach dynamically adjusts the amplitude of the direct current (...
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ISBN:
(数字)9798350309638
ISBN:
(纸本)9798350309645
This paper proposes a novel adaptive synthetic inertia (SI) control scheme for the battery energy storage system (BESS) in the wind farm. The proposed approach dynamically adjusts the amplitude of the direct current (DC) of the voltage source converter (VSC) in response to grid frequency disturbances. The unique feature of the proposed control is its ability to emulate droop and inertia in real time by adjusting parameter values according to the rate of change of frequency (RoCoF) and frequency deviation. Within the SI control, a first-order low-pass element is incorporated into the virtual inertia control to augment the system inertia. Its advantages and effectiveness are rigorously demonstrated on a modified IEEE benchmark system under load changes and wind speed fluctuations.
Life systems show an ultralow energy consumption in their high-efficiency bio-activities,implying a high-flux transport of ions and molecules with an ultralow resistivity.A collective motion(CM)of these particles is n...
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Life systems show an ultralow energy consumption in their high-efficiency bio-activities,implying a high-flux transport of ions and molecules with an ultralow resistivity.A collective motion(CM)of these particles is necessary for this kind of behaviors,different from the traditional Newtonian *** CM is an ordered particle state,resulting from the balance between attraction and repulsion of the particles,in which the attraction is a necessary *** ultralow resistivity of electronic or atomic fluid at low temperature is already described phenomenologically by introducing the interparticle ***,we try to establish a phenomenological expression for the quantum state of ion or molecule CM at ambient temperature,by also considering the attraction of *** studies suggest that the Bose-Einstein condensate potentially exists widely.
Inverse Reinforcement Learning (IRL)-the problem of learning reward functions from demonstrations of an expert policy-plays a critical role in developing intelligent *** widely used in applications, theoretical unders...
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Inverse Reinforcement Learning (IRL)-the problem of learning reward functions from demonstrations of an expert policy-plays a critical role in developing intelligent *** widely used in applications, theoretical understandings of IRL present unique challenges and remain less developed compared with standard *** example, it remains open how to do IRL efficiently in standard offline settings with pre-collected data, where states are obtained from a behavior policy (which could be the expert policy itself), and actions are sampled from the expert *** paper provides the first line of results for efficient IRL in vanilla offline and online settings using polynomial samples and *** algorithms and analyses seamlessly adapt the pessimism principle commonly used in offline RL, and achieve IRL guarantees in stronger metrics than considered in existing *** provide lower bounds showing that our sample complexities are nearly *** an application, we also show that the learned rewards can transfer to another target MDP with suitable guarantees when the target MDP satisfies certain similarity assumptions with the original (source) MDP. Copyright 2024 by the author(s)
Phasor Measurement Units (PMUs) enable high-speed and high-precision power quality measurements, but their vulnerability to cyber-attacks poses substantial risks to the stability and reliability of power systems. This...
Phasor Measurement Units (PMUs) enable high-speed and high-precision power quality measurements, but their vulnerability to cyber-attacks poses substantial risks to the stability and reliability of power systems. This paper explores the application of programmable networks, specifically P4 switches, to enhance the cybersecurity of PMU systems. These switches can be programmed to enable the creation of custom forwarding and processing logic at the data plane level. We analyze PMU-specific attacks through attack trees, propose effective mitigation strategies using programmable switches, and present a case study demonstrating the recovery of missing synchrophasor data by implementing a matrix completion algorithm on the switch data plane. The recovery scheme is evaluated in a container-based P4 network emulator using real PMU data from a campus microgrid. For instance, in the 10% missing data scenario, the recovery scheme can achieve a mean absolute percentage error of 0.038% for voltage magnitude and a phase angle error discrepancy of around 0.08 degrees.
A new three-phase hybrid-excited multi-tooth switched reluctance motor with embedded permanent magnets is proposed, capable of achieving higher torque density for transportation electrification applications. Operating...
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We use the mean square error (MSE) to evaluate the correlation of data that skips similar hologram lines in optical scanning holography. This approach has notably decreased the data acquisition duration in experimenta...
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A new frequency diverse array (FDA) radar system is proposed for range estimation of a target using time-invariant beampattern. To illuminate a desired range, the transmit beampattern is optimized using the inverse fa...
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ISBN:
(数字)9798350391862
ISBN:
(纸本)9798350391879
A new frequency diverse array (FDA) radar system is proposed for range estimation of a target using time-invariant beampattern. To illuminate a desired range, the transmit beampattern is optimized using the inverse fast Fourier transform (IFFT) technique. This allows for a longer dwell period, which improves the accuracy of weak target identification. To lessen noise effects in range estimation, the minimum power distortionless response (MPDR) beamformer is employed. The precision of range estimation is derived using the Cramér-Rao lower bound (CRLB). Based on simulation data, the FDA design that has been proposed performs better than current approaches as measured by the root-mean-squared error (RMSE). The proposed FDA radar shows superior target localization performance compared to existing techniques, achieving the CRLB at a signal-to-noise (SNR) value of −5 dB.
Functional organization of the brain can be modeled as a network of interconnected regions. Study of brain networks has offered new insights to human behavior and neurodegenerative diseases. While traditional approach...
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ISBN:
(数字)9789464593617
ISBN:
(纸本)9798331519773
Functional organization of the brain can be modeled as a network of interconnected regions. Study of brain networks has offered new insights to human behavior and neurodegenerative diseases. While traditional approach to functional connectivity focuses on average connectivity within a given time window, recent research shows that the temporal dynamics of functional connectivity (FC) change over multiple time scales during task performance and rest. In this paper, we present a structured robust low-rank tensor decomposition to detect the community structure of functional connectivity networks across multiple subjects and time. The proposed approach combines robust tensor decomposition with a spectral clustering regularization term to extract the group level community structure at each time point. Moreover, the contribution of each subject to this community structure is quantified by the learned weighting coefficients. The proposed framework is applied to functional connectivity networks constructed from task-based electroen-cephalogram (EEG) data.
Metaverse seamlessly blends the physical world and virtual spaces through ubiquitous communication and computing equipment and infrastructure. In intelligent transportation systems, the vehicular Metaverse can provide...
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Numerous buildings in Bangladesh were constructed without following standard building codes. As a result, those are vulnerable to increased earthquake frequency and variable loads. To address this issue, old buildings...
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