Long-Term Power System Modeling and Optimization with Energy Storage Integration

Energy Storage System (ESS) integration is essential to improving the sustainability, dependability, and effectiveness of contemporary power systems. The goal of this study is to create an extensive structure for the long-term modelling and optimisation of power systems that are connected with ESS. The study tackles important issues such controlling varying demand, preserving system stability, and managing transitory Renewable Energy (RE) production. Key parameters, including storage capacity, charge/discharge cycles, and operational constraints, are incorporated into the framework to assess the technical and economic impacts of ESS integration. Advanced optimization techniques are applied to identify optimal strategies for minimizing operational costs, maximizing RE utilization, and improving overall system performance. The results underline the potential of optimized ESS to enhance energy efficiency, reduce costs, and support the transition to sustainable and resilient power systems, ensuring long-term reliability and environmental benefits.

Publication Details

Journal
Computer Science Engineering and Technology
Published
2025-06-24
DOI
https://doi.org/10.46632/cset/2/1/8
Citations
1
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.53
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article

Long-Term Power System Modeling and Optimization with Energy Storage Integration

1 citations
Computer Science Engineering and Technology
Power Systems and Renewable Energy
0.53
article

Long-Term Power System Modeling and Optimization with Energy Storage Integration

article en
1 citations

Abstract

Energy Storage System (ESS) integration is essential to improving the sustainability, dependability, and effectiveness of contemporary power systems. The goal of this study is to create an extensive structure for the long-term modelling and optimisation of power systems that are connected with ESS. The study tackles important issues such controlling varying demand, preserving system stability, and managing transitory Renewable Energy (RE) production. Key parameters, including storage capacity, charge/discharge cycles, and operational constraints, are incorporated into the framework to assess the technical and economic impacts of ESS integration. Advanced optimization techniques are applied to identify optimal strategies for minimizing operational costs, maximizing RE utilization, and improving overall system performance. The results underline the potential of optimized ESS to enhance energy efficiency, reduce costs, and support the transition to sustainable and resilient power systems, ensuring long-term reliability and environmental benefits.

Computer Science Engineering and TechnologyVol. 2(1)
Openalex Percentile: Top 30%
Power Systems and Renewable Energy
0.53
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