An Online Calibration System for Digital Input Electricity Meters Based on Improved Nuttall Window

Li, Zhenhua; Du, Yi; Abu-Siada, A.; Bao, Gang; Yu, Jie; Hu, Tinghe; Zhang, Tao

doi:10.1109/access.2018.2881263

Cited by 6 publications

(2 citation statements)

References 29 publications

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“…To facilitate the proposed system to function under highly polluted waveforms, a digital noise elimination technique such as the methods presented in [55][56][57] can be adopted. Moreover, the performance of the measurement sensors and other components involved in the system must be checked and calibrated regularly to detect any incipient malfunction and rectify it in a timely manner [58,59].…”

Section: Ishdb Tested With Iot Implementationmentioning

confidence: 99%

Cost-Effective Design of IoT-Based Smart Household Distribution System

Ahmed

Qays

Abu-Siada

et al. 2021

Designs

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The Internet of Things (IoT) plays an indispensable role in present-day household electricity management. Nevertheless, practical development of cost-effective intelligent condition monitoring, protection, and control techniques for household distribution systems is still a challenging task. This paper is taking one step forward into a practical implementation of such techniques by developing an IoT Smart Household Distribution Board (ISHDB) to monitor and control various household smart appliances. The main function of the developed ISHDB is collecting and storing voltage, current, and power data and presenting them in a user-friendly way. The performance of the developed system is investigated under various residential electrical loads of different energy consumption profiles. In this regard, an Arduino-based working prototype is employed to gather the collected data into the ThingSpeak cloud through a Wi-Fi medium. Blynk mobile application is also implemented to facilitate real-time monitoring by individual consumers. Microprocessor technology is adopted to automate the process, and reduce hardware size and cost. Experimental results show that the developed system can be used effectively for real-time home energy management. It can also be used to detect any abnormal performance of the electrical appliances in real-time through monitoring their individual current and voltage waveforms. A comparison of the developed system and other existing techniques reveals the superiority of the proposed method in terms of the implementation cost and execution time.

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Section: Ishdb Tested With Iot Implementationmentioning

confidence: 99%

Cost-Effective Design of IoT-Based Smart Household Distribution System

Ahmed

Qays

Abu-Siada

et al. 2021

Designs

View full text Add to dashboard Cite

show abstract

“…For the practical implementation of the proposed method, synchronized measurements of the instantaneous three-phase voltages and currents at both ends of the line through PMU and a global positioning system, is required. If PMU is not available, in particular for distribution grids, an electronic measurement device [24][25][26][27][28][29][30][31] along with the new substation automation system based on IEC 61850 [32] can be employed. Alternatively, a simple voltage and current data accusation hardware setup for current and voltage measurements and harmonic and noise elimination such as the one presented in [33] can be used for the online implementation of the proposed technique.…”

Section: Case Study-3mentioning

confidence: 99%

Estimation of Transmission Line Parameters Using Voltage-Current Measurements and Whale Optimization Algorithm

et al. 2021

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Real-time estimation of transmission line (TL) parameters is essential for proper management of transmission and distribution networks. These parameters can be used to detect incipient faults within the line and hence avoid any potential consequences. While some attempts can be found in the literature to estimate TL parameters, the presented techniques are either complex or impractical. Moreover, none of the presented techniques published in the literature so far can be implemented in real time. This paper presents a cost-effective technique to estimate TL parameters in real time. The proposed technique employs easily accessible voltage and current data measured at both ends of the line. For simplicity, only one quarter of the measured data is sampled and utilized in a developed objective function that is solved using the whale optimization algorithm (WOA) to estimate the TL parameters. The proposed objective function comprises the sum of square errors of the measured data and the corresponding estimated values. The robustness of the proposed technique is tested on a simple two-bus and the IEEE 14-bus systems. The impact of uncertainties in the measured data including magnitude, phase, and communication delay on the performance of the proposed estimation technique is also investigated. Results reveal the effectiveness of the proposed method that can be implemented in real time to detect any incipient variations in the TL parameters due to abnormal or fault events.

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