Improved Droop Control Parameters in A DC Microgrid Using the Marine Predator Algorithm

Widi Aribowo; Heri Suryoatmojo; Feby Agung Pamuji

doi:10.1109/ICVEE59738.2023.10348207

Improved Droop Control Parameters in A DC Microgrid Using the Marine Predator Algorithm

Widi Aribowo^*, Heri Suryoatmojo, Feby Agung Pamuji

^*Corresponding author for this work

Institut Teknologi Sepuluh Nopember

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Different droop response characteristics in DC microgrid systems are impacted by inconsistent circuit parameters and line impedances. As a result, each converter's current division accuracy declines. DC voltage variation will result from the control response. For DC microgrids with many parallel sources, it's important to have defined controls in place to ensure system effectiveness and avoid overload. The Marine Predator Algorithm is used in this study to demonstrate droop control. This program mimics the behavior of marine predators. Particle swarm optimization is used to evaluate the performance of the suggested strategy by comparing the transient response. The load sharing case is used in this study's testing. Simulation testing is carried out using Matlab software. The MPA approach is known to have the best capability based on the simulation findings. When compared to the PSO approach, the MPA method is able to lower the voltage overshoot by 2.38%.

Original language	English
Title of host publication	2023 6th International Conference on Vocational Education and Electrical Engineering
Subtitle of host publication	Integrating Scalable Digital Connectivity, Intelligence Systems, and Green Technology for Education and Sustainable Community Development, ICVEE 2023 - Proceeding
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	60-65
Number of pages	6
ISBN (Electronic)	9798350326642
DOIs	https://doi.org/10.1109/ICVEE59738.2023.10348207
Publication status	Published - 2023
Event	6th International Conference on Vocational Education and Electrical Engineering, ICVEE 2023 - Hybrid, Surabaya, Indonesia Duration: 14 Oct 2023 → 15 Oct 2023

Publication series

Name	2023 6th International Conference on Vocational Education and Electrical Engineering: Integrating Scalable Digital Connectivity, Intelligence Systems, and Green Technology for Education and Sustainable Community Development, ICVEE 2023 - Proceeding

Conference

Conference	6th International Conference on Vocational Education and Electrical Engineering, ICVEE 2023
Country/Territory	Indonesia
City	Hybrid, Surabaya
Period	14/10/23 → 15/10/23

Keywords

Converter
DC Microgrid
Droop Control
Marine Predator Algorithm
Power Sharing

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ICVEE59738.2023.10348207

Cite this

Aribowo, W., Suryoatmojo, H., & Pamuji, F. A. (2023). Improved Droop Control Parameters in A DC Microgrid Using the Marine Predator Algorithm. In 2023 6th International Conference on Vocational Education and Electrical Engineering: Integrating Scalable Digital Connectivity, Intelligence Systems, and Green Technology for Education and Sustainable Community Development, ICVEE 2023 - Proceeding (pp. 60-65). (2023 6th International Conference on Vocational Education and Electrical Engineering: Integrating Scalable Digital Connectivity, Intelligence Systems, and Green Technology for Education and Sustainable Community Development, ICVEE 2023 - Proceeding). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICVEE59738.2023.10348207

Aribowo, Widi ; Suryoatmojo, Heri ; Pamuji, Feby Agung. / Improved Droop Control Parameters in A DC Microgrid Using the Marine Predator Algorithm. 2023 6th International Conference on Vocational Education and Electrical Engineering: Integrating Scalable Digital Connectivity, Intelligence Systems, and Green Technology for Education and Sustainable Community Development, ICVEE 2023 - Proceeding. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 60-65 (2023 6th International Conference on Vocational Education and Electrical Engineering: Integrating Scalable Digital Connectivity, Intelligence Systems, and Green Technology for Education and Sustainable Community Development, ICVEE 2023 - Proceeding).

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abstract = "Different droop response characteristics in DC microgrid systems are impacted by inconsistent circuit parameters and line impedances. As a result, each converter's current division accuracy declines. DC voltage variation will result from the control response. For DC microgrids with many parallel sources, it's important to have defined controls in place to ensure system effectiveness and avoid overload. The Marine Predator Algorithm is used in this study to demonstrate droop control. This program mimics the behavior of marine predators. Particle swarm optimization is used to evaluate the performance of the suggested strategy by comparing the transient response. The load sharing case is used in this study's testing. Simulation testing is carried out using Matlab software. The MPA approach is known to have the best capability based on the simulation findings. When compared to the PSO approach, the MPA method is able to lower the voltage overshoot by 2.38%.",

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author = "Widi Aribowo and Heri Suryoatmojo and Pamuji, {Feby Agung}",

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Aribowo, W, Suryoatmojo, H & Pamuji, FA 2023, Improved Droop Control Parameters in A DC Microgrid Using the Marine Predator Algorithm. in 2023 6th International Conference on Vocational Education and Electrical Engineering: Integrating Scalable Digital Connectivity, Intelligence Systems, and Green Technology for Education and Sustainable Community Development, ICVEE 2023 - Proceeding. 2023 6th International Conference on Vocational Education and Electrical Engineering: Integrating Scalable Digital Connectivity, Intelligence Systems, and Green Technology for Education and Sustainable Community Development, ICVEE 2023 - Proceeding, Institute of Electrical and Electronics Engineers Inc., pp. 60-65, 6th International Conference on Vocational Education and Electrical Engineering, ICVEE 2023, Hybrid, Surabaya, Indonesia, 14/10/23. https://doi.org/10.1109/ICVEE59738.2023.10348207

Improved Droop Control Parameters in A DC Microgrid Using the Marine Predator Algorithm. / Aribowo, Widi; Suryoatmojo, Heri ; Pamuji, Feby Agung.
2023 6th International Conference on Vocational Education and Electrical Engineering: Integrating Scalable Digital Connectivity, Intelligence Systems, and Green Technology for Education and Sustainable Community Development, ICVEE 2023 - Proceeding. Institute of Electrical and Electronics Engineers Inc., 2023. p. 60-65 (2023 6th International Conference on Vocational Education and Electrical Engineering: Integrating Scalable Digital Connectivity, Intelligence Systems, and Green Technology for Education and Sustainable Community Development, ICVEE 2023 - Proceeding).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Improved Droop Control Parameters in A DC Microgrid Using the Marine Predator Algorithm

AU - Aribowo, Widi

AU - Suryoatmojo, Heri

AU - Pamuji, Feby Agung

PY - 2023

Y1 - 2023

N2 - Different droop response characteristics in DC microgrid systems are impacted by inconsistent circuit parameters and line impedances. As a result, each converter's current division accuracy declines. DC voltage variation will result from the control response. For DC microgrids with many parallel sources, it's important to have defined controls in place to ensure system effectiveness and avoid overload. The Marine Predator Algorithm is used in this study to demonstrate droop control. This program mimics the behavior of marine predators. Particle swarm optimization is used to evaluate the performance of the suggested strategy by comparing the transient response. The load sharing case is used in this study's testing. Simulation testing is carried out using Matlab software. The MPA approach is known to have the best capability based on the simulation findings. When compared to the PSO approach, the MPA method is able to lower the voltage overshoot by 2.38%.

AB - Different droop response characteristics in DC microgrid systems are impacted by inconsistent circuit parameters and line impedances. As a result, each converter's current division accuracy declines. DC voltage variation will result from the control response. For DC microgrids with many parallel sources, it's important to have defined controls in place to ensure system effectiveness and avoid overload. The Marine Predator Algorithm is used in this study to demonstrate droop control. This program mimics the behavior of marine predators. Particle swarm optimization is used to evaluate the performance of the suggested strategy by comparing the transient response. The load sharing case is used in this study's testing. Simulation testing is carried out using Matlab software. The MPA approach is known to have the best capability based on the simulation findings. When compared to the PSO approach, the MPA method is able to lower the voltage overshoot by 2.38%.

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PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Aribowo W, Suryoatmojo H , Pamuji FA. Improved Droop Control Parameters in A DC Microgrid Using the Marine Predator Algorithm. In 2023 6th International Conference on Vocational Education and Electrical Engineering: Integrating Scalable Digital Connectivity, Intelligence Systems, and Green Technology for Education and Sustainable Community Development, ICVEE 2023 - Proceeding. Institute of Electrical and Electronics Engineers Inc. 2023. p. 60-65. (2023 6th International Conference on Vocational Education and Electrical Engineering: Integrating Scalable Digital Connectivity, Intelligence Systems, and Green Technology for Education and Sustainable Community Development, ICVEE 2023 - Proceeding). doi: 10.1109/ICVEE59738.2023.10348207

Improved Droop Control Parameters in A DC Microgrid Using the Marine Predator Algorithm

Abstract

Publication series

Conference

Keywords

UN SDGs

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