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An improved Bombus-Terrestris bee optimisation algorithm implementation for enhancement of PQ in smart grid environment with hybrid renewable energy sources

S. Mani Kuchibhatla et al.

International Journal of Operational Research2026https://doi.org/10.1504/ijor.2026.152296article
AJG 1
Weight
0.50

What the paper says

The escalating demand for distributed generating systems has driven the adoption of grid-connected hybrid renewable energy sources like wind, solar, and fuel cells. However, their integration into modern smart grid systems induces significant voltage fluctuations, impacting power quality and grid stability. This study proposes a hybrid optimal compensation scheme to enhance power quality in hybrid renewable energy systems (HRES) within smart grids. Employing a modified termite alate optimisation (MTAO) algorithm improves system performance. Addressing total harmonic distortion (THD) through suitable filtration techniques and assessing harmonic reduction efficiency, the study tackles THD issues in industrial distribution networks penetrated by renewable energy using a static switched filter compensation (SSFC) scheme. This approach aims to regulate voltage, curtail power loss, and minimise THD, thereby bolstering the overall performance and stability of hybrid renewable energy systems in smart grids.

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https://doi.org/https://doi.org/10.1504/ijor.2026.152296

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@article{s.2026,
  title        = {{An improved Bombus-Terrestris bee optimisation algorithm implementation for enhancement of PQ in smart grid environment with hybrid renewable energy sources}},
  author       = {S. Mani Kuchibhatla et al.},
  journal      = {International Journal of Operational Research},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1504/ijor.2026.152296},
}

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An improved Bombus-Terrestris bee optimisation algorithm implementation for enhancement of PQ in smart grid environment with hybrid renewable energy sources

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.