Real-time power dispatch in a standalone hybrid multisource distributed energy system using an Arduino board

Meje, Kelebogile Confidence; Bokopane, Lindiwe; Kusakana, K.; Siti, Mukwanga W.

doi:10.1016/j.egyr.2021.08.016

Cited by 10 publications

(2 citation statements)

References 16 publications

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“…Arduino IDE could work on Windows, Mac OS X, and Linux. The environment is written in Java and is based on processing and other open-source software [21]. To run the system program, library installation was carried out for the MAX30102 sensor device, OLED I2C I2C device, Buzzer, ESP8266, and the Blynk application [22].…”

Section: Software Designmentioning

confidence: 99%

IoT-based Heart Signal Processing System for Driver Drowsiness Detection

Yunidar,

Melinda,

Khairani

et al. 2023

Green Intell. Syst. Appl.

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Traffic accidents often result in loss of life and significant economic losses. Indonesia's high number of traffic accidents indicates the need for effective solutions to overcome this problem. Developing a drowsiness detection device is one effort that can be made to reduce accidents caused by drowsy drivers. The data obtained in this study used driver heart rate data. The drowsiness detection tool was developed using the Wemos D1 Pro Esp8266 microcontroller and MAX30102 sensor. Testing was carried out on 25 subjects under two conditions: 'Drowsy' and 'Normal.' The driver's level of drowsiness is determined based on the heart rate measured by the detection device. The Blynk application is used as a visual interface to provide notifications via smartphone if the driver is drowsy. The accuracy of the drowsiness detection tool was compared with the results obtained from the Pulse Oximeter. This research shows that the drowsiness detection tool using the Wemos D1 Pro Esp8266 microcontroller and MAX30102 sensor has an accuracy of around 98% when compared with the pulse oximeter. The Blynk application successfully sends notifications precisely when the driver is drowsy. This study highlights the potential of drowsiness detection devices to improve traffic safety and reduce accidents caused by drowsy drivers.

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Section: Software Designmentioning

confidence: 99%

IoT-based Heart Signal Processing System for Driver Drowsiness Detection

Yunidar,

Melinda,

Khairani

et al. 2023

Green Intell. Syst. Appl.

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“…Energy loss can produce unstable voltage and interfere with the overall quality of power. Electrical power quality and electrical efficiency are two critical concepts in interrelated electrical systems [19,20].…”

Section: Introductionmentioning

confidence: 99%

Designed harmonic step filter automatic control system to improve power quality and electric efficiency

Pasaribu,

Sara,

Tarmizi

et al. 2024

J. Phys.: Conf. Ser.

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Good power quality and high-power efficiency are important aspects of power system management. Harmonic, as an unwanted frequency component in electrical signals, can interfere with power quality and reduce electrical efficiency. A passive harmonic filter is a device used to reduce or filter harmonics in electrical power systems. This research proposes technology Internet of Things with an automatic control system that moves the step filter to solve the harmonic problem, with the aim of improving the quality of power and electrical efficiency. The step filter functions to identify and isolate the harmonic, thus enabling appropriate controls to suppress the impact of the harmonic. The proposed system uses sophisticated control algorithms using sensors that can read current, voltage, frequency, and power factor to adjust the step filter parameters dynamically, following changes in load conditions and harmonizing. Simulation of the control network using the proteus software is subsequently undertaken in further research to design the control device. Using an automatic control set in the control simulation results reduced the need for manual intervention and let the system adjust the step filter automatically in response to changing network conditions. This showed that this method worked to lower harmonic distortion, increases the power factor through the filter used, and make the system more energy efficient overall. The study emphasizes the importance of applying sophisticated control strategies to manage harmonics efficiently, which ultimately paves the way to a cleaner and more reliable power grid.

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