Enhancing Voltage Stability in PV/Wind Power Systems with STATCOM Utilizing Fuzzy Controller

Renewable energy sources (RES) has gained pivotal importance due to the depletion of fossil fuels, coupled with increasing electricity demand and escalating environmental concerns. The integration of renewables into power systems significantly impacts grid performance. Addressing transient performance issues remains a critical area that requires further investigation. This paper explores the deployment of a Static Synchronous Compensation Device (STATCOM) utilizing a controller based on fuzzy logic (FLC) to tackle voltage stability issues in the IEEE nine-bus investigation, specifically considering the incorporation of Photovoltaic (PV) and Wind energy. The STATCOM based on FLC is considered as a dynamic voltage recovery aimed at sustaining voltage stability, thus preservation of RES through and after occurring disturbances. A virtual simulation is performed utilizing Matlab/Simulink environment with Proportional Integrative (PI) controller and with FLC of the STATCOM under different conditions to prominence the variation which the offered STATCOM presents concerning transient stability. The study aims to illustrate the effectiveness of FLC over PI controller for enhancing the system stability at different locations using STATCOM device. The obtained results inspect that STATCOM contributes better response through FLC under abnormal conditions as compared to PI controller.

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Publication Details

Journal
Journal of Engineering Advances and Technologies for Sustainable Applications
Published
2025-04-01
DOI
https://doi.org/10.21608/jeatsa.2025.427967
Citations
2
Primary Topic
Frequency Control in Power Systems
Type
article
Field-Weighted Citation Impact
1.46
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article

Enhancing Voltage Stability in PV/Wind Power Systems with STATCOM Utilizing Fuzzy Controller

Ahmed A. Zaki Diab, Ibram Y. Fawzy, Ahmed M. Elsawy, Ayat G. Abo El-Magd
2 citations
Journal of Engineering Advances and Technologies for Sustainable Applications
Frequency Control in Power Systems
1.46
article

Enhancing Voltage Stability in PV/Wind Power Systems with STATCOM Utilizing Fuzzy Controller

Ahmed A. Zaki Diab, Ibram Y. Fawzy, Ahmed M. Elsawy, Ayat G. Abo El-Magd
article en
2 citations

Abstract

Renewable energy sources (RES) has gained pivotal importance due to the depletion of fossil fuels, coupled with increasing electricity demand and escalating environmental concerns. The integration of renewables into power systems significantly impacts grid performance. Addressing transient performance issues remains a critical area that requires further investigation. This paper explores the deployment of a Static Synchronous Compensation Device (STATCOM) utilizing a controller based on fuzzy logic (FLC) to tackle voltage stability issues in the IEEE nine-bus investigation, specifically considering the incorporation of Photovoltaic (PV) and Wind energy. The STATCOM based on FLC is considered as a dynamic voltage recovery aimed at sustaining voltage stability, thus preservation of RES through and after occurring disturbances. A virtual simulation is performed utilizing Matlab/Simulink environment with Proportional Integrative (PI) controller and with FLC of the STATCOM under different conditions to prominence the variation which the offered STATCOM presents concerning transient stability. The study aims to illustrate the effectiveness of FLC over PI controller for enhancing the system stability at different locations using STATCOM device. The obtained results inspect that STATCOM contributes better response through FLC under abnormal conditions as compared to PI controller.

Journal of Engineering Advances and Technologies for Sustainable ApplicationsVol. 1(2)
Minia University (EG)
Affordable and clean energy
Openalex Percentile: Top 17%
Frequency Control in Power Systems
1.46
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Enhancing Voltage Stability in PV/Wind Power Systems with STATCOM Utilizing Fuzzy Controller — Ahmed A. Zaki Diab, Ibram Y. Fawzy, et al. · Journal of Engineering Advances and Technologies for Sustainable Applications (2025) | TGRS Research Map | TGRS