The ever-evolving power grid demands advanced, intelligent metering solutions to enhance monitoring, efficiency, and real-time control. This paper presents the design and development of an innovative smart meter system that not only measures electrical parameters with precision but also facilitates intelligent decision-making using embedded control and sensor fusion techniques. The proposed system integrates an Arduino UNO R3, an ACS712-20A current sensor, a DHT11 humidity-temperature sensor, and signal conditioning components like OPAMP LM358 and XOR logic gates, ensuring both accuracy and adaptability. Input-side measurements record a voltage of 230 V, a current of 16.5 A, and a power factor of 0.98, while output-side data reflects 229.2 V, 15.74 A, and a power factor of 0.93, showcasing minimal losses and robust performance. Active and reactive power readings, along with real-time phase angle and frequency monitoring, further validate the model's applicability in smart grid systems. This cost-effective, modular smart meter prototype demonstrates excellent agreement between hardware and simulation results, proving its feasibility for deployment in both industrial and residential environments.
Sarker Krishna (Wed,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: