Monitoring and Controlling The Hybrid System Using The Internet Of Things For Energy Transaction

Sulton Ari Wibowo, Dyah Lestari

Abstract


The electrical energy is an energy that is needed by the people. The
electrical energy, to date, came from several power plants, such as
electric steam power plants and diesel power plants. The community
must pay the service provider, such as the State Electricity
Company (PLN) with a rising cost, to obtain electrical energy.
However, there were other alternative energies, for example, solar
power plants and windmill power plants. The hybrid system is a
combination of two or more different energy sources to meet the
demand. The hybrid system was also expected to solve the problem
that might arise in utilizing other energies, the site condition, and
the unpredicted situation on the power plant. The solution to these
problems was a hybrid using a monitoring device with ACS 712
sensor current parameter, ZMPT101B voltage sensor, LDR solar
sensor, hybrid electrical energy power, controller for four electrical
source inputs and three electrical sources for the output load. The
device used Arduino Mega 2560 for data processing, ESP 8266 as
the module to connect the device to the internet network and relay
as the control actuator. Monitoring and controlling the device used
the internet network and the implementation of the Internet of
Things (IoT) on the hybrid system plants (PLN, generator, solar
power plant, windmill power plant) that was integrated into the
website. The overall test resulted in the comparison average error
value between the device and the measuring instrument of the
current, voltage, and power. The test also resulted in the average
error value of the response time for the four input contacts and three
output contacts. The average error value of the current was 2.13%,
the average error value of the voltage was 0.7%, and the average
error value from the power parameter was 0%. Meanwhile, the
average error value of response time was 0.23 seconds. Based on
the above results, it can be concluded that the monitoring and
controlling system from the website with the implementation of the
IoT in the hybrid power system was worked following the design.

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References


A. Sagastume Gutiérrez, M. Balbis Morejón, J. J. Cabello Eras, M. Cabello Ulloa, F. J. Rey Martínez,

and J. G. Rueda-Bayona, “Data supporting the forecast of electricity generation capacity from nonconventional

renewable energy sources in Colombia,” Data Brief, vol. 28, p. 104949, Feb. 2020, doi:

1016/j.dib.2019.104949.

S. A. A. Shah, “Feasibility study of renewable energy sources for developing the hydrogen economy in

Pakistan,” Int. J. Hydrog. Energy, p. S0360319919335530, Oct. 2019, doi:

1016/j.ijhydene.2019.09.153.

R. Poudyal, P. Loskot, R. Nepal, R. Parajuli, and S. K. Khadka, “Mitigating the current energy crisis in

Nepal with renewable energy sources,” Renew. Sustain. Energy Rev., vol. 116, p. 109388, Dec. 2019,

doi: 10.1016/j.rser.2019.109388.

M. Talaat, A. S. Alsayyari, A. Alblawi, and A. Y. Hatata, “Hybrid-Cloud-Based Data Processing for

Power System Monitoring in Smart Grids,” Sustain. Cities Soc., p. 102049, Jan. 2020, doi:

1016/j.scs.2020.102049.

O. Cortes-Robles, E. Barocio, J. Segundo, D. Guillen, and J. C. Olivares-Galvan, “A qualitativequantitative

hybrid approach for power quality disturbance monitoring on microgrid systems,”

Measurement, vol. 154, p. 107453, Mar. 2020, doi: 10.1016/j.measurement.2019.107453.

J. H. Min, D.-W. Kim, and C.-Y. Park, “Demonstration of the validity of the early warning in online

monitoring system for nuclear power plants,” Nucl. Eng. Des., vol. 349, pp. 56–62, Aug. 2019, doi:

1016/j.nucengdes.2019.04.028.

O. Yildirim, B. Eristi, H. Eristi, S. Unal, Y. Erol, and Y. Demir, “FPGA-based online power quality

monitoring system for electrical distribution network,” Measurement, vol. 121, pp. 109–121, Jun. 2018,

doi: 10.1016/j.measurement.2018.02.058.

E. F. Ferreira and J. D. Barros, “Faults Monitoring System in the Electric Power Grid of Medium

Voltage,” Procedia Comput. Sci., vol. 130, pp. 696–703, 2018, doi: 10.1016/j.procs.2018.04.123.

A. Girgin, M. Bilmez, H. Y. Amin, and T. C. Karalar, “A silicon Hall sensor SoC for current sensors,”

Microelectron. J., vol. 90, pp. 12–18, Aug. 2019, doi: 10.1016/j.mejo.2019.04.020.

Z. Ou et al., “Self-biased magnetoelectric current sensor based on SrFe12O19/FeCuNbSiB/PZT

composite,” Sens. Actuators Phys., vol. 290, pp. 8–13, May 2019, doi: 10.1016/j.sna.2019.03.008.

G. Huang, E. F. Fukushima, J. She, C. Zhang, and J. He, “Estimation of sensor faults and unknown

disturbance in current measurement circuits for PMSM drive system,” Measurement, vol. 137, pp. 580–

, Apr. 2019, doi: 10.1016/j.measurement.2019.01.076.

R. Zhang et al., “A New Environmental Monitoring System Based on WiFi Technology,” Procedia

CIRP, vol. 83, pp. 394–397, 2019, doi: 10.1016/j.procir.2019.04.088.

R. Muhendra, A. Rinaldi, M. Budiman, and Khairurrijal, “Development of WiFi Mesh Infrastructure for

Internet of Things Applications,” Procedia Eng., vol. 170, pp. 332–337, 2017, doi:

1016/j.proeng.2017.03.045.

B. Jain, G. Brar, J. Malhotra, S. Rani, and S. H. Ahmed, “A cross layer protocol for traffic management

in Social Internet of Vehicles,” Future Gener. Comput. Syst., vol. 82, pp. 707–714, May 2018, doi:

1016/j.future.2017.11.019.




DOI: http://dx.doi.org/10.17977/um049v1i1p1-9

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