Multi-objective control-based home energy management system with smart energy meter

Kumar, Gautam; Kumar, Lalit; Kumar, Sanjay

doi:10.1007/s00202-023-01790-x

Cited by 7 publications

(1 citation statement)

References 31 publications

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“…Many investigations have proposed different smart metering infrastructures to be used in microgrids [28]. For instance, some authors have proposed multi-objective energy management systems with smart energy meters that allow for the storage of data on energy generation and battery loads as well as information about the appliances, in order to investigate the end-user's energy use habits [29].…”

Section: Related Workmentioning

confidence: 99%

Monitoring Energy and Power Quality of the Loads in a Microgrid Laboratory Using Smart Meters

Isanbaev,

Baños,

Martínez

et al. 2024

Energies

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Microgrids are local energy production and distribution networks that can operate independently when disconnected from the main power grid thanks to the integration of power generation systems, energy storage units and intelligent control systems. However, despite their advantages, the optimal energy management of real microgrids remains a subject that requires further investigation. Specifically, an effective management of microgrids requires managing a large number of electrical variables related to the power generated by the microgrid’s power supplies, the power consumed by the loads and the aspects of power quality. This study analyzes how we can monitor different variables, such as the active power, reactive power, power factor, total harmonic distortion and frequency in the loads of a microgrid, using high-precision power meters. Our empirical study, conducted using a functional microgrid comprising a hybrid wind–solar power system and several household appliances, demonstrates the feasibility of using low-cost and high-performance power meters with IoT functionality to collect valuable power quality and energy consumption data that can be used to control the microgrid operation.

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Section: Related Workmentioning

confidence: 99%