Optimal allocation of hybrid renewable energy sources for power system flexibility: A Case Study of Nigerian University

The increasing need for energy and environmental sustainability propels the use of renewable energy systems to mitigate greenhouse gas emissions and improve power supply flexibility. Efficient resource allocation is essential for sustaining a dependable distribution network. This paper examines the optimal incorporation of renewable energy resources into the power system of Ajayi Crowther University (ACU) to improve power supply flexibility and sustainability. By integrating hybrid renewable energy sources for distributed generation (HRESDG), including solar energy and battery energy storage systems, the university can markedly diminish its dependence on fossil fuels and their related environmental consequences. This study transforms the obstacles presented by the sporadic characteristics of renewable sources into possibilities, facilitating a more seamless transition to a sustainable energy mix. The study used an HRESDG optimization algorithm to strategically deploy renewable energy resources by identifying their ideal size, position, and timing within the campus power network. Historical sun irradiation data guided the creation of hybrid power models, while simulation research enhanced solar energy and battery storage designs. The results underscore the feasibility and advantages of renewable energy integration, providing essential information for policymakers and energy planners to develop flexible, economical, and sustainable power systems for university campuses. The study underscores the significance of uncertainty modeling and risk management to guarantee dependable and adaptable hybrid energy systems, establishing a solid framework for long-term sustainability.

Authors

Publication Details

Journal
World Journal of Advanced Engineering Technology and Sciences
Published
2025-04-11
DOI
https://doi.org/10.30574/wjaets.2025.15.1.0261
Citations
1
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
0.73
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article

Optimal allocation of hybrid renewable energy sources for power system flexibility: A Case Study of Nigerian University

Olusayo Adekunle Ajeigbe, Gideon Omolade Oladapo
1 citations
World Journal of Advanced Engineering Technology and Sciences
Smart Grid Energy Management
0.73
article

Optimal allocation of hybrid renewable energy sources for power system flexibility: A Case Study of Nigerian University

Olusayo Adekunle Ajeigbe, Gideon Omolade Oladapo
article en
1 citations

Abstract

The increasing need for energy and environmental sustainability propels the use of renewable energy systems to mitigate greenhouse gas emissions and improve power supply flexibility. Efficient resource allocation is essential for sustaining a dependable distribution network. This paper examines the optimal incorporation of renewable energy resources into the power system of Ajayi Crowther University (ACU) to improve power supply flexibility and sustainability. By integrating hybrid renewable energy sources for distributed generation (HRESDG), including solar energy and battery energy storage systems, the university can markedly diminish its dependence on fossil fuels and their related environmental consequences. This study transforms the obstacles presented by the sporadic characteristics of renewable sources into possibilities, facilitating a more seamless transition to a sustainable energy mix. The study used an HRESDG optimization algorithm to strategically deploy renewable energy resources by identifying their ideal size, position, and timing within the campus power network. Historical sun irradiation data guided the creation of hybrid power models, while simulation research enhanced solar energy and battery storage designs. The results underscore the feasibility and advantages of renewable energy integration, providing essential information for policymakers and energy planners to develop flexible, economical, and sustainable power systems for university campuses. The study underscores the significance of uncertainty modeling and risk management to guarantee dependable and adaptable hybrid energy systems, establishing a solid framework for long-term sustainability.

World Journal of Advanced Engineering Technology and SciencesVol. 15(1)
Openalex Percentile: Top 30%
Smart Grid Energy Management
0.73
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