Graphical user interface based model for transmission line performance implementation in power system

Salim, Nur Ashida; Mohamad, Hasmaini; Yasin, Zuhaila Mat; Aziz, Nur Fadilah Ab; Rahmat, Nur Ezan

doi:10.11591/ijeecs.v16.i1.pp92-100

Cited by 2 publications

(2 citation statements)

References 20 publications

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“…Recently, a great attention has been paid to wireless sensor networks (WSNs) because of their significant advantages. WSNs are extensively employed in weighing and observing application areas like Internet of things (IoT), smart grids, smart cities and homes, cloud computing, healthcare monitoring, military investigation and environmental surveillance systems [1][2]. It is a fact that there is an increasing demand for electricity with the decrease in the natural fuels owing to the high-energy use.…”

Section: Introductionmentioning

confidence: 99%

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Intelligent power monitoring and control with wireless sensor network techniques

Nayyef

Hussien

2020

IJEECS

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<span>Undoubtedly, there is a necessity for establishing a more intelligent power system in the existing energy system, which is increased according to the development of wireless system network (WSN) and the Internet of Things (IoT). This study presents intelligent power monitoring and control with wireless sensor network techniques, based on WSNs and IoT technologies is designed to manage real-time power at buildings. This system includes a complete network of wireless sensing node, base station and a smart home gateway. A sensing node is utilized as wireless sensors to measure voltage and current and to calculate power consumption of connected appliances that are transmitted wirelessly to a base station via Zigbee node. A base station is designed to receive all data transmitted from the sensing node and display it through GUI available at the personal computer with the possibility of controlling ON and OFF appliances according to consumer requirements. All of these readings are stored at database for analysis. In addition, a smart home gateway is used to connect the system with internet, allowing consumers to continuous monitoring and remote control the appliances via a smartphone application. The benefit of this system is that the mechanism of appliances control can be done in different ways (manually, automatically and remotely). To ensure better accuracy of the equipment many appliances are tested and compared with practical measurement. Best results are obtained for the error, voltage, current and the power. </span>

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Section: Introductionmentioning

confidence: 99%

“…Irms, PF is the supplied voltage, drawn current and power factor, respectively. Then, accumulated power consumption is calculated with run time of appliances in order to calculated KWh as in(2).…”

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confidence: 99%

Intelligent power monitoring and control with wireless sensor network techniques

Nayyef

Hussien

2020

IJEECS

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Modelling and simulation of online partial discharge measurement for medium voltage power cable

et al. 2020

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This paper presents the modelling of the online partial discharge (PD) measurement of the medium voltage (MV) power cable. Recently, PD monitoring trends are rapidly increasing due to high demand on reliable systems. Degradation are mainly due to the presence of PD in the high voltage power equipment used. PD measurement is therefore a highly recommended task to early detection of the degradation insulation for high voltage (HV) equipment in order to avoid breakdowns. Real network modelling is necessary to improvise system design in order to find the efficiency in a real power system network. In this paper, modelling focuses on a real distribution network by applying Rogowski coil (RC) as a detection sensor to trigger PD activity. The simulation is performed to determine the functionality and reliability of the system with the RC application in the network. The analysis is performed in the ATP-EMTP and MATLAB Simulink software environments. In addition, this paper contributed to justify the approach of a simplified PD sensor and measurement system. This PD measurement system provides a complete solution in the context of condition-oriented monitoring for the ability to apply the RC to trigger PD activity in the power distribution network.

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Graphical user interface based model for transmission line performance implementation in power system

Cited by 2 publications

References 20 publications

Intelligent power monitoring and control with wireless sensor network techniques

Intelligent power monitoring and control with wireless sensor network techniques

Modelling and simulation of online partial discharge measurement for medium voltage power cable

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