Optimal Design of a Grid-Connected Renewable Energy System with Battery Energy Storage for an Office Building

Power systems are crucial for operators to increase productivity and support the growing integration of renewable energy sources (RES). However, demand swings and nonlinear limitations exacerbate renewable energy sources' intermittent and unpredictable nature. This paper presents a way for merging wind farms with battery energy storage systems to optimize the management of output and carbon emissions costs in conventional power plants. This improvement considers the costs incurred by traditional fossil fuel-dependent units and the costs connected with carbon emissions. The simulation includes five traditional generating sources and office load consumers. The results show that the improved problem formulation significantly improves the capacity and effectiveness of power plant production schedule optimization.

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Published
2024-12-31
DOI
https://doi.org/10.1109/sgc64640.2024.10983177
Primary Topic
Advanced Battery Technologies Research
Type
article
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article

Optimal Design of a Grid-Connected Renewable Energy System with Battery Energy Storage for an Office Building

Ali Seifi, Mehrdad Tarafdar Hagh, Kasra Shafiei
Advanced Battery Technologies Research
article

Optimal Design of a Grid-Connected Renewable Energy System with Battery Energy Storage for an Office Building

Ali Seifi, Mehrdad Tarafdar Hagh, Kasra Shafiei
article en

Abstract

Power systems are crucial for operators to increase productivity and support the growing integration of renewable energy sources (RES). However, demand swings and nonlinear limitations exacerbate renewable energy sources' intermittent and unpredictable nature. This paper presents a way for merging wind farms with battery energy storage systems to optimize the management of output and carbon emissions costs in conventional power plants. This improvement considers the costs incurred by traditional fossil fuel-dependent units and the costs connected with carbon emissions. The simulation includes five traditional generating sources and office load consumers. The results show that the improved problem formulation significantly improves the capacity and effectiveness of power plant production schedule optimization.

University of Tabriz (IR)
Affordable and clean energy
Openalex Percentile: Top 68%
Advanced Battery Technologies Research
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