The end-to-end training of neural networks with multimodal data poses challenges beyond those observed for the training with unimodal data. The difficulty lies frequently in a network’s capacity to overfit and genera...
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The low-frequency stability of grid-connected virtual synchronous generators (VSGs) can be degraded if power controller parameters are not properly tuned under high active power transfer and strong grid conditions. Th...
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The virtual synchronous generator (VSG) is an attractive grid-forming technique that emulates the swing equation of conventional synchronous generators, and can compensate for the power grid's weakened inertia and...
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We consider a Network Operator (NO) that owns Edge Computing (EC) resources, virtualizes them and lets third party Service Providers (SPs) run their services, using the allocated slice of resources. We focus on one sp...
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Inverter-based renewable energy resources, as a critical response to the net-zero energy transition, have been displacing conventional synchronous generation. However, this displacement has increased the grid's vu...
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Increasing the permissible operating speed of permanent magnet electric machines (PMSM) presents a range of intrinsic benefits. This however also raises a myriad of challenges associated with high-speed operation, inc...
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Grid forming inverters (GFMIs) are emerging as promising alternatives to address grid instability challenges, offering vital ancillary services to power systems, including inertia support, frequency support, and oscil...
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Fault isolation in dynamical systems is a challenging task due to modeling uncertainty and measurement noise,interactive effects of multiple faults and fault *** paper proposes a unified approach for isolation of mult...
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Fault isolation in dynamical systems is a challenging task due to modeling uncertainty and measurement noise,interactive effects of multiple faults and fault *** paper proposes a unified approach for isolation of multiple actuator or sensor faults in a class of nonlinear uncertain dynamical *** and sensor fault isolation are accomplished in two independent modules,that monitor the system and are able to isolate the potential faulty actuator(s)or sensor(s).For the sensor fault isolation(SFI)case,a module is designed which monitors the system and utilizes an adaptive isolation threshold on the output residuals computed via a nonlinear estimation scheme that allows the isolation of single/multiple faulty sensor(s).For the actuator fault isolation(AFI)case,a second module is designed,which utilizes a learning-based scheme for adaptive approximation of faulty actuator(s)and,based on a reasoning decision logic and suitably designed AFI thresholds,the faulty actuator(s)set can be *** effectiveness of the proposed fault isolation approach developed in this paper is demonstrated through a simulation example.
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