Enhancing Reactive Power Compensation in Distribution Systems through Optimal Integration of D-STATCOM using the Pelican Optimization Algorithm

This paper presents a study that introduces the Pelican Optimization Algorithm (POA) as an innovative approach for the strategic deployment of Distribution Static Synchronous Compensators (D-STATCOM) in distribution systems. The primary objectives are to reduce losses and enhance voltage profiles in radial distribution systems. The proposed approach is validated on both the IEEE 33-bus and IEEE 69-bus systems through comprehensive simulations using MATLAB software. The results demonstrate exceptional performance, showcasing a remarkable 29.40% and 32.30% reduction in active power losses for the respective systems. Furthermore, a comparative analysis against recent methods from the literature highlights the superior efficacy of the POA algorithm, revealing reductions of 29.15% and 32.00% in active power losses for the IEEE 33-bus and IEEE 69-bus systems. These findings substantiate the efficiency of the POA algorithm in strategically positioning and sizing D-STATCOM, making significant strides toward minimizing losses and improving voltage profiles in distribution systems. In summary, this study provides valuable insights into the field of power systems optimization, offering a pioneering solution for the effective deployment of D-STATCOM to enhance the overall performance of distribution networks.

Authors

Publication Details

Journal
International Journal of Electrical Engineering and Applied Sciences (IJEEAS)
Published
2024-10-28
DOI
https://doi.org/10.54554/ijeeas.2024.7.01.006
Citations
4
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
0.83
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article

Enhancing Reactive Power Compensation in Distribution Systems through Optimal Integration of D-STATCOM using the Pelican Optimization Algorithm

Toufic Seini, Abdul-Fatawu Seini Yussif, Bright Ayasu, Emmanuel Agyepong Nyantakyi
4 citations
International Journal of Electrical Engineering and Applied Sciences (IJEEAS)
Smart Grid Energy Management
0.83
article

Enhancing Reactive Power Compensation in Distribution Systems through Optimal Integration of D-STATCOM using the Pelican Optimization Algorithm

Toufic Seini, Abdul-Fatawu Seini Yussif, Bright Ayasu, Emmanuel Agyepong Nyantakyi
article en
4 citations

Abstract

This paper presents a study that introduces the Pelican Optimization Algorithm (POA) as an innovative approach for the strategic deployment of Distribution Static Synchronous Compensators (D-STATCOM) in distribution systems. The primary objectives are to reduce losses and enhance voltage profiles in radial distribution systems. The proposed approach is validated on both the IEEE 33-bus and IEEE 69-bus systems through comprehensive simulations using MATLAB software. The results demonstrate exceptional performance, showcasing a remarkable 29.40% and 32.30% reduction in active power losses for the respective systems. Furthermore, a comparative analysis against recent methods from the literature highlights the superior efficacy of the POA algorithm, revealing reductions of 29.15% and 32.00% in active power losses for the IEEE 33-bus and IEEE 69-bus systems. These findings substantiate the efficiency of the POA algorithm in strategically positioning and sizing D-STATCOM, making significant strides toward minimizing losses and improving voltage profiles in distribution systems. In summary, this study provides valuable insights into the field of power systems optimization, offering a pioneering solution for the effective deployment of D-STATCOM to enhance the overall performance of distribution networks.

International Journal of Electrical Engineering and Applied Sciences (IJEEAS)Vol. 7(1)
Openalex Percentile: Top 25%
Smart Grid Energy Management
0.83
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Enhancing Reactive Power Compensation in Distribution Systems through Optimal Integration of D-STATCOM using the Pelican Optimization Algorithm — Toufic Seini, Abdul-Fatawu Seini Yussif, et al. · International Journal of Electrical Engineering and Applied Sciences (IJEEAS) (2024) | TGRS Research Map | TGRS