Clamp-and-Forget: A self-sustainable non-invasive wireless sensor node for smart metering applications

Porcarelli, Danilo; Brunelli, Davide; Benini, Luca

doi:10.1016/j.mejo.2014.05.019

Cited by 36 publications

(16 citation statements)

References 25 publications

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“…In case of any anomalous condition, the DC bus voltage can collapse the whole DC microgrid operation. Therefore, accurate meters such as [31] and a robust and reliable control and management scheme are required for the effective and sustainable consumer grid operation. The overall flow chart of the PCmRC consumer model is shown in Figure 6, which is fully compatible for off-grid and conventional grid connected operations.…”

Section: Overall Grid Control Designmentioning

confidence: 99%

Power Controlling, Monitoring and Routing Center Enabled by a DC-Transformer †

et al. 2017

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Abstract:The penetration of various types of renewable sources and on-site storage devices have recently focused attention towards DC power distribution in consumer grids to achieve the target of zero/positive energy buildings and communities. To achieve this target, the most important component is the DC consumer grid architecture which can integrate not only renewable sources and storage, but also enable the implementation in any conventional AC distribution network without any significant upgrade. To this end, a unique DC Transformer enabled DC microgrid architecture is presented in this paper. The architecture, called PCmRC (power controlling monitoring routing center) is proposed to manage distributed energy sources and storage at any stage and also directly interconnects the DC consumer grid with the conventional AC power grid. This paper also investigates detailed control algorithms of each component and the DC Transformer topology in addition to proposing four unique stages of grid operational modes to enhance the overall grid stability in any operational condition. The main objectives are to maximize the exploitation of renewable sources, to decrease reliance on fossil fuels, to boost the overall efficiency of the grid by reducing the power conversion losses and demand side management in all possible forms. The simulation platform is designed in MATLAB/Simulink. Simulation results of several types of case studies show the effectiveness of the proposed power distribution and management model.

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Section: Overall Grid Control Designmentioning

confidence: 99%

Power Controlling, Monitoring and Routing Center Enabled by a DC-Transformer †

et al. 2017

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“…They also represent an upgrade of the power generation, transmission, distribution, management and utilisation, enhancing security, agility, reliability and economy [11]. With its capabilities, it can provide less invasive demand analysis, thus increasing the privacy of the consumer [12], in opposition to those that use sensors within homes [13] to analyse the consumer load. Finally, another important feature is to remotely detect illegal electricity usage [14,15].…”

Section: Smart Meters and Identification Of Nonlinear Loadsmentioning

confidence: 99%

A framework for classification of non-linear loads in smart grids using Artificial Neural Networks and Multi-Agent Systems

2015

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“…3 shows the block diagram of the proposed sub-system, which is used to switch from the current measurement circuit to the energy harvesting sub-system. The switching systems has been already discussed here [13], [14].…”

Section: Energy Harvestermentioning

confidence: 99%

Non-intrusive Zigbee power meter for load monitoring in smart buildings

Balsamo

Gallo

Brunelli

et al. 2015

2015 IEEE Sensors Applications Symposium (SAS)

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Energy efficiency in smart buildings requires distributed sensing infrastructure to monitor the power consumption of appliances, machines and lighting sources. The analysis of current and voltage waveforms is fundamental for gathering diagnostic information about the power quality and for reducing power wastage. Moreover, it enables Non-intrusive Load Monitoring (NILM), which is the process of disaggregating a household's total electricity consumption into its contributing appliances, by analysing the voltage and current changes. In this paper, an innovative full Energy-neutral (i.e. battery free) and Non-intrusive Wireless Energy Meter (NIWEM) is presented to measure current, voltage and power factor. As key features, the NIWEM is completely non-invasive and it can self-sustain its operations by harvesting energy from the monitored load. It also features a standard (Zigbee) wireless interface for communication with the smart-building system. Experimental results have confirmed that complete energy sustainability can be achieved also with very low-power loads.

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Clamp-and-Forget: A self-sustainable non-invasive wireless sensor node for smart metering applications

Cited by 36 publications

References 25 publications

Power Controlling, Monitoring and Routing Center Enabled by a DC-Transformer †

Power Controlling, Monitoring and Routing Center Enabled by a DC-Transformer †

A framework for classification of non-linear loads in smart grids using Artificial Neural Networks and Multi-Agent Systems

Non-intrusive Zigbee power meter for load monitoring in smart buildings

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