Operation and Control Strategy of Energy Management System for LVDC Distribution System

Lee, Hoon; Kang, Jiwoo; Choi, Bong-Yeon; Kang, Kyung-Min; An, Chang-Gyun; Won, Chung-Yuen

doi:10.1109/ifeec47410.2019.9014660

Cited by 4 publications

(1 citation statement)

References 6 publications

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“…There has been various research conducted on energy management systems using renewable energy sources as shown in [17][18][19][20]. Also, smart energy metering system has been discussed widely in [20][21][22][23][24][25]. These techniques are proven to work for larger system with or without wireless communication which adds complexity and consumes more power.…”

Section: Introductionmentioning

confidence: 99%

Load power and energy management system using proteus visual design software

Venugopal

Govender

2020

IJEECS

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At present, there is a serious energy crisis around the globe which impacts greatly on the power grid. A smart and user friendly energy management system can control the energy consumption. In this paper, load power and energy management system is developed and simulated using Proteus Visual Design software. The load analysis and measurement techniques are developed for single phase and three phase loads and implemented using Arduino Mega 2560 board. User friendly controls are developed using the visual design feature of the software to control the energy consumption. The load power management system is simulated by measuring the power consumed by various residential loads such as lights, fans, air-conditioners, heaters. The industrial loads are simulated by squirrel cage induction motor. The load analysis summary is displayed on the Arduino 2.8 inch TFT display shield in a table format. The simulaion model is created for future hardware implementation and is tested under various practical input conditions. The Proteus Visual Design software is chosen in this resesarch due to its advantages such as professional PCB layout package, availability of nearly 800 microcontrollers in the library package etc.The developed model successfully measured the energy consumption of several loads and assist the user in controlling the energy usage through automation control techniques. The accuracy of the results shows that the technique and the model developed in this research can be used by engineers, students and hobbyists who are working with energy monitoring systems and smart home applications directly. This is an ongoing project where in the next stage, the hardware design of the simulation model will be implemented and tested in real time application.

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