This paper presents a single stage phase locked loop-less (PLL-less) active and reactive power (PQ) control for single-phase weak grid interactive inverters. The absence of the PLL requirement in the proposed PQ contr...
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This paper presents a single stage phase locked loop-less (PLL-less) active and reactive power (PQ) control for single-phase weak grid interactive inverters. The absence of the PLL requirement in the proposed PQ control enhances the stability margin comparing to conventional current control approaches in both the stationary or the synchronous reference frame. Additionally, the proposed control scheme enables direct PQ control with a single loop control structure. This paper demonstrates that the proposed PLL-less PQ control scheme is asymptotically stable if the controller gains are positive. The necessary conditions for supplying the rated active power into the weak grid are derived. The provided analysis shows that certain amount of reactive power injection is necessary to avoid point of common coupling (PCC) voltage collapse when the rated active power is injected into the weak grid. Several case studies are provided to demonstrate the performance of the proposed PLL-less PQ control scheme under weak grid condition.
Approaches to compute or estimate the output probability distributions from the quantum approximate optimization algorithm (QAOA) are needed to assess the likelihood it will obtain a quantum computational advantage. W...
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Approaches to compute or estimate the output probability distributions from the quantum approximate optimization algorithm (QAOA) are needed to assess the likelihood it will obtain a quantum computational advantage. We analyze output from QAOA circuits solving 7200 random MaxCut instances, with n=14–23 qubits and depth parameter p≤12, and find that the average basis state probabilities follow approximate Boltzmann distributions: The average probabilities scale exponentially with their energy (cut value), with a peak at the optimal solution. We describe the rate of exponential scaling or effective temperature in terms of a series with a leading-order term T∼Cmin/np, with Cmin the optimal solution energy. Using this scaling, we generate approximate output distributions with up to 38 qubits and find these give accurate accounts of important performance metrics in cases we can simulate exactly.
The H2020 project INVADE has addressed optimal activation of the different flexibility services using the cloud-based solution in the electricity domain. The results have been tested full-scale at different sites arou...
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In the above article [1] , we have mentioned that our work demonstrates the highest net rate (360 Gbps) achieved on the TFLN platform using pulse amplitude modulation (PAM). However, in [2] , the authors demonstrate...
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In the above article [1] , we have mentioned that our work demonstrates the highest net rate (360 Gbps) achieved on the TFLN platform using pulse amplitude modulation (PAM). However, in [2] , the authors demonstrated a higher net bit rate of 494.5 Gbps with digital-band-interleaved (DBI) digital-to-analog converter (DAC) and a thin-film lithium niobate (TFLN) Mach-Zehnder modulator (MZM) using probabilistically shaped (PS) PAM-16 signaling. Therefore, the claim in the abstract and conclusion of our paper is not correct. While this information was incorrect, it does not influence the contents presented in our paper.
The direct calculation of the absorption coefficient spectra of various tissues from spectral measurements allowed to retrieve the contents of melanin and lipofuscin. In the rabbit brain cortex, 1.8 times higher melan...
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The development of emerging applications, such as autonomous transportation systems, are expected to result in an explosive growth in mobile data traffic. As the available spectrum resource becomes more and more scarc...
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Cyber-Physical Production systems (CPPSs), such as automated car manufacturing plants, execute a configurable sequence of production steps to manufacture products from a product portfolio. In CPPS engineering, domain ...
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Previous studies have shown that residential energy consumption prediction accuracy can be improved when households energy data are fused with residents' socioeconomic information. In this article we propose an ar...
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ISBN:
(数字)9789082797053
ISBN:
(纸本)9781728150017
Previous studies have shown that residential energy consumption prediction accuracy can be improved when households energy data are fused with residents' socioeconomic information. In this article we propose an architecture for the prediction of residential energy consumption using past energy consumption from other/neighboring households in combination with socioeconomic information of the corresponding residents. The architecture is based on a Long Short Term Memory model and was evaluated using a large-scale dataset monitoring households of London. The proposed approach significantly improves the accuracy of the energy consumption predictor reducing the mean absolute error up to 25.2% with prediction error rate equal to 5.4%.
A high gain (20 dBi) Leaky-Wave Antenna (LWA) is presented at 26 GHz with beam steering capabilities (44°) for high data throughput in millimeter-wave (mm-wave) 5G systems. A tunable phase shifting High Impedance...
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A high gain (20 dBi) Leaky-Wave Antenna (LWA) is presented at 26 GHz with beam steering capabilities (44°) for high data throughput in millimeter-wave (mm-wave) 5G systems. A tunable phase shifting High Impedance Surface (HIS) exhibiting low loss $(< 0.1\ \ \text{dB})$ , is employed for the antenna's beam steering. A Piezo-Electric Actuator (PEA) is employed to electromechanically tune the HIS. The employed PEA exhibited fast (milliseconds) and continuous displacement variation of up to 500 µm. The LWA has been demonstrated by deploying it within a 5G testbed operating within the 26GHz band. It was observed that the channel performance can significantly be improved utilizing the beam steering capability of the antenna in the case when the line-of-sight (LOS) is blocked by an obstacle.
We introduce a family of commuting generalised symmetries of the Dunkl–Dirac operator inspired by the Maxwell construction in harmonic analysis. As an application, we use these generalised symmetries to construct bas...
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