Self-powered smart meter with synchronized data

Cai, Fan; Farantatos, Evangelos; Huang, Renke; Meliopoulos, A. P. Sakis; Papapolymerou, John

doi:10.1109/rws.2012.6175381

Cited by 10 publications

(3 citation statements)

References 8 publications

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“…The first one is oriented to monitor high-power consumption in energy distribution systems and smart grids while the second one is oriented to monitor the power consumption of household's appliances. Concerning the highpower monitoring, the self-powered system presented in [15] is a wireless power meter designed for measuring current and voltage in distribution lines of smart grids. It exploits two on-air current sensors and an energy harvesting sub-system.…”

Section: Related Workmentioning

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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Section: Related Workmentioning

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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“…Second, hierarchical smart grid architecture is required since flexible loads are numerous and distributed in various locations. In distribution grids, efficient and reliable flexible control and reserve deployment require the upgrade of smart grid technologies [15].…”

Section: Simulation and Analysismentioning

confidence: 99%

Operating reserves with flexible loading in electricity market

Tao¹

2014

2014 IEEE PES General Meeting | Conference &Amp; Exposition

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This paper proposes an extended multiple time-step optimal power flow (OPF) model to schedule both energy and operating reserves with load flexibility. Flexible loads can shift demands among time steps under certain constraints to meet their energy consumption requirements. Therefore, peak and trough demands/prices can be more moderate. In addition, a portion of flexibility is able to provide operating reserves, especially regulation reserves, since flexible loads are able to react instantly with digital controls and high speed communications by using smart grid technologies. Flexible loads can be classified into two categories: energy storage flexible loads (ESFLs) and energy consumption flexible loads (ECFLs) by their characteristics of energy consumption. An ESFL should maintain a certain amount of energy in the storage, and an ECFL usually consume a certain amount of energy before a deadline. Market analysis demonstrates the effectiveness of both models in energy dispatch and reserve allocation. Numerical examples show that flexible loads narrow both price and voltage distributions and reduce reserve prices/costs.Index Terms-Optimal power flow, flexible loads, electricity market, hierarchical smart grid, operating reserves.

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“…In [ 16 ], a stick-on current and temperature sensor was presented, using Zigbee as a wireless technology and for currents in the range of 60–1000 A. Another example can be found in [ 17 ], where the authors cleverly implemented a GPS receiver in order to keep time synchronization with the data. Porcarelli et al implemented an IEEE 802.15.4 compliant smart meter with a back-up battery for consumptions between 10 W and 10 kW, with a maximum measurement error of 1.6% [ 18 ].…”

Section: Introductionmentioning

confidence: 99%

Smart Metering for Challenging Scenarios: A Low-Cost, Self-Powered and Non-Intrusive IoT Device

Saavedra

Campo

Santamaría

2020

Sensors

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In this work, a novel current metering device was presented. This device was intended to bring current metering capabilities to a wide variety of scenarios: Developing countries, rural areas, or any situation with technological constraints. The device was designed to provide a straightforward installation with no intrusion in the electrical panels. This was achieved by applying energy harvesting techniques and wireless communication technology for data transmission. The device was able to exploit the magnetic field inducted around a wire carrying electricity as energy harvesting, thus acquiring the power it needed to work. Since very low power was harvested, an efficient treatment for the incoming power and a minimal power consumption system were essential. Although exploiting the magnetic fields inducted around a wire has been used for years, the combination of this technology for both energy harvesting and current metering in an end-user device was off-center. To work in a wide variety of scenarios, it used Sigfox for communications as this brought wide coverage and out-of-the-box functioning. The theoretical design of the device was validated by verification assessments for the joint performance of the individual parts compounding the device, including metering capabilities and wireless communication test-bench. Finally, the metering device was tested under three distinct real-world scenarios that demonstrated the viability of the system. Results show that, depending on the metering period and the average current value in the mains line, the device could work forever acquiring and sending electricity consumption data. Perpetual working was achieved with an average current of 3.1 A to meter every 15 min, and an average current of 5 A for a 5-min metering period.

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Self-powered smart meter with synchronized data

Cited by 10 publications

References 8 publications

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

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

Operating reserves with flexible loading in electricity market

Smart Metering for Challenging Scenarios: A Low-Cost, Self-Powered and Non-Intrusive IoT Device

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