Optimal Placement and Capacity of Static VAR Compensator on Voltage Improvement Using Firefly Algorithm Optimization

During specific low-demand periods, such as Eid Fitr 2023, the Cawang transmission subsystem in Indonesia experienced significant over-voltage issues due to excess reactive power, compromising grid stability and efficiency. This study proposes a solution using a Static VAR Compensator (SVC) optimized by the Firefly Algorithm to enhance voltage stability. The Firefly Algorithm, a meta-heuristic optimization technique, was employed to determine the optimal placement and capacity of the SVC within the grid. Simulations conducted using DIgSILENT PowerFactory demonstrated that the optimal configuration, with a 784.8829 MVAR SVC placed at bus 1PGSAN/I-5, effectively reduced voltage deviation by 0.6485%, leaving only six buses over-voltage. This approach highlights the potential of advanced optimization techniques in addressing over-voltage challenges and improving power system reliability. Further validation of the results was achieved by comparing various scenarios, underscoring the robustness of the proposed method.

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Publication Details

Published
2024-12-11
DOI
https://doi.org/10.1109/isriti64779.2024.10963566
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Optimal Placement and Capacity of Static VAR Compensator on Voltage Improvement Using Firefly Algorithm Optimization

Fauzan Hanif Jufri, Muhammad Alif Fatih Rahman, Iwa Garniwa
Advanced Battery Technologies Research
article

Optimal Placement and Capacity of Static VAR Compensator on Voltage Improvement Using Firefly Algorithm Optimization

Fauzan Hanif Jufri, Muhammad Alif Fatih Rahman, Iwa Garniwa
article en

Abstract

During specific low-demand periods, such as Eid Fitr 2023, the Cawang transmission subsystem in Indonesia experienced significant over-voltage issues due to excess reactive power, compromising grid stability and efficiency. This study proposes a solution using a Static VAR Compensator (SVC) optimized by the Firefly Algorithm to enhance voltage stability. The Firefly Algorithm, a meta-heuristic optimization technique, was employed to determine the optimal placement and capacity of the SVC within the grid. Simulations conducted using DIgSILENT PowerFactory demonstrated that the optimal configuration, with a 784.8829 MVAR SVC placed at bus 1PGSAN/I-5, effectively reduced voltage deviation by 0.6485%, leaving only six buses over-voltage. This approach highlights the potential of advanced optimization techniques in addressing over-voltage challenges and improving power system reliability. Further validation of the results was achieved by comparing various scenarios, underscoring the robustness of the proposed method.

University of Indonesia (ID)
Universitas Indonesia
Affordable and clean energy
Openalex Percentile: Top 68%
Advanced Battery Technologies Research
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Optimal Placement and Capacity of Static VAR Compensator on Voltage Improvement Using Firefly Algorithm Optimization — Fauzan Hanif Jufri, Muhammad Alif Fatih Rahman, et al. · (2024) | TGRS Research Map | TGRS