Performance evaluation of ant colony optimisation suggested energy management in using HOMER

This paper addresses power management in Bhimavaram, India, an educational institution. The institution is known to be commercial load supplied from an 11 KV grid, the load deviations are primarily taken into account during the daytime simply due to the working hours of the institution. This optimisation is accompanied by a bidirectional power transfer from the grid to the institution and the institution to the grid. The optimal energy consumption is suggested for renewable power production for a solar plant with 125 kW generation for increasing the efficient utilisation of renewable energy along with reducing the electricity usage based on fossil fuel. Using an ant colony optimisation (ACO) algorithm, the above-mentioned optimal solution is suggested and that is further validated using HOMER Software. In HOMER Software the validation of the solution given by ant colony optimisation algorithm is completed by simulation.

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Journal
International Journal of Powertrains
Published
2025-01-01
DOI
https://doi.org/10.1504/ijpt.2025.147079
Primary Topic
Metaheuristic Optimization Algorithms Research
Type
article
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article

Performance evaluation of ant colony optimisation suggested energy management in using HOMER

Pothula Jagadeesh, Minhaz Ahmed, Mostafa Ansari, Patil Mounica et al.
International Journal of Powertrains
Metaheuristic Optimization Algorithms Research
article

Performance evaluation of ant colony optimisation suggested energy management in using HOMER

Pothula Jagadeesh, Minhaz Ahmed, Mostafa Ansari, Patil Mounica, Guthikonda Tejaswi, Putchakayala Yanna Reddy, Asapu Siva
article en

Abstract

This paper addresses power management in Bhimavaram, India, an educational institution. The institution is known to be commercial load supplied from an 11 KV grid, the load deviations are primarily taken into account during the daytime simply due to the working hours of the institution. This optimisation is accompanied by a bidirectional power transfer from the grid to the institution and the institution to the grid. The optimal energy consumption is suggested for renewable power production for a solar plant with 125 kW generation for increasing the efficient utilisation of renewable energy along with reducing the electricity usage based on fossil fuel. Using an ant colony optimisation (ACO) algorithm, the above-mentioned optimal solution is suggested and that is further validated using HOMER Software. In HOMER Software the validation of the solution given by ant colony optimisation algorithm is completed by simulation.

International Journal of PowertrainsVol. 14(1)
Chaitanya Bharathi Institute of Technology (IN), Annamalai University (IN), Shriram Institute for Industrial Research (IN), SRKR Engineering College, Kamineni Institute of Dental Sciences (IN)
Affordable and clean energy
Openalex Percentile: Top 91%
Metaheuristic Optimization Algorithms Research
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Performance evaluation of ant colony optimisation suggested energy management in using HOMER — Pothula Jagadeesh, Minhaz Ahmed, et al. · International Journal of Powertrains (2025) | TGRS Research Map | TGRS