Advanced Wind-solar-battery Hybrid System Optimization for Grid Stability in Coastal Regions: A Comprehensive Numerical Investigation and Experimental Validation

Mostafa Shawky Abdelmoez

doi:doi:10.11648/j.ijees.20261104.13

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Advanced Wind-solar-battery Hybrid System Optimization for Grid Stability in Coastal Regions: A Comprehensive Numerical Investigation and Experimental Validation

Mostafa Shawky Abdelmoez^*

Published in International Journal of Energy and Environmental Science (Volume 11, Issue 4)

Received: 12 March 2026 Accepted: 16 July 2026 Published: 14 August 2026

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Abstract

This comprehensive research presents an in-depth investigation into the optimization of hybrid Wind-Solar-Battery (WSB) energy systems for enhanced grid stability and reliability in coastal regions, with specific focus on Mediterranean climate conditions. The study develops a sophisticated dynamic energy management model that integrates probabilistic forecasting, state-of-charge optimization, and grid frequency regulation strategies to evaluate system performance across multiple operational scenarios. The model incorporates time-dependent renewable generation profiles, battery degradation dynamics, and realistic grid integration constraints representing typical coastal microgrid applications. Validation against experimental data (2021-2024) demonstrates high accuracy with root-mean-square error (RMSE) values below 5.2% for both power output and state-of-charge predictions. Extensive parametric studies were conducted to assess the impact of critical operational variables including wind speed (4-12 m/s), solar irradiance (200-1000 W/m²), battery capacity (100-500 kWh), and load demand variability (20-100% of rated capacity) on system performance metrics. Results indicate that the optimized WSB configuration achieves a grid stability index of 98.7% under peak variability conditions, representing a 41% improvement over standalone renewable systems operating under identical conditions. The renewable penetration reaches 89.5% through intelligent energy management, while battery cycle life extends by 32% across the operational spectrum. Optimal battery dispatch was systematically identified through model predictive control, balancing grid support against degradation costs. The study introduces a novel multi-objective performance index combining grid stability, economic factors, and battery health, providing a holistic assessment tool for WSB system deployment. Comparative analysis with conventional hybrid systems reveals that WSB systems offer 25-38% higher grid support capability and 18-27% better economic returns over a 15-year lifecycle in coastal regions. The research concludes with practical implementation guidelines and policy recommendations for integrating WSB systems into existing grid infrastructure. The developed model serves as a robust tool for system sizing, energy management optimization, and reliability prediction, contributing significantly to the advancement of resilient renewable energy systems in coastal environments.

Published in	International Journal of Energy and Environmental Science (Volume 11, Issue 4)
DOI	10.11648/j.ijees.20261104.13
Page(s)	95-105
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2026. Published by Science Publishing Group

Keywords

Wind Energy, Solar Energy, Battery Storage, Hybrid Systems, Grid Stability, Coastal Microgrids, Energy Management, Optimization

References

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APA Style

Abdelmoez, M. S. (2026). Advanced Wind-solar-battery Hybrid System Optimization for Grid Stability in Coastal Regions: A Comprehensive Numerical Investigation and Experimental Validation. International Journal of Energy and Environmental Science, 11(4), 95-105. https://doi.org/10.11648/j.ijees.20261104.13

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ACS Style

Abdelmoez, M. S. Advanced Wind-solar-battery Hybrid System Optimization for Grid Stability in Coastal Regions: A Comprehensive Numerical Investigation and Experimental Validation. Int. J. Energy Environ. Sci. 2026, 11(4), 95-105. doi: 10.11648/j.ijees.20261104.13

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AMA Style

Abdelmoez MS. Advanced Wind-solar-battery Hybrid System Optimization for Grid Stability in Coastal Regions: A Comprehensive Numerical Investigation and Experimental Validation. Int J Energy Environ Sci. 2026;11(4):95-105. doi: 10.11648/j.ijees.20261104.13

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@article{10.11648/j.ijees.20261104.13,
  author = {Mostafa Shawky Abdelmoez},
  title = {Advanced Wind-solar-battery Hybrid System Optimization for Grid Stability in Coastal Regions: A Comprehensive Numerical Investigation and Experimental Validation},
  journal = {International Journal of Energy and Environmental Science},
  volume = {11},
  number = {4},
  pages = {95-105},
  doi = {10.11648/j.ijees.20261104.13},
  url = {https://doi.org/10.11648/j.ijees.20261104.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijees.20261104.13},
  abstract = {
This comprehensive research presents an in-depth investigation into the optimization of hybrid Wind-Solar-Battery (WSB) energy systems for enhanced grid stability and reliability in coastal regions, with specific focus on Mediterranean climate conditions. The study develops a sophisticated dynamic energy management model that integrates probabilistic forecasting, state-of-charge optimization, and grid frequency regulation strategies to evaluate system performance across multiple operational scenarios. The model incorporates time-dependent renewable generation profiles, battery degradation dynamics, and realistic grid integration constraints representing typical coastal microgrid applications. Validation against experimental data (2021-2024) demonstrates high accuracy with root-mean-square error (RMSE) values below 5.2% for both power output and state-of-charge predictions. Extensive parametric studies were conducted to assess the impact of critical operational variables including wind speed (4-12 m/s), solar irradiance (200-1000 W/m2), battery capacity (100-500 kWh), and load demand variability (20-100% of rated capacity) on system performance metrics. Results indicate that the optimized WSB configuration achieves a grid stability index of 98.7% under peak variability conditions, representing a 41% improvement over standalone renewable systems operating under identical conditions. The renewable penetration reaches 89.5% through intelligent energy management, while battery cycle life extends by 32% across the operational spectrum. Optimal battery dispatch was systematically identified through model predictive control, balancing grid support against degradation costs. The study introduces a novel multi-objective performance index combining grid stability, economic factors, and battery health, providing a holistic assessment tool for WSB system deployment. Comparative analysis with conventional hybrid systems reveals that WSB systems offer 25-38% higher grid support capability and 18-27% better economic returns over a 15-year lifecycle in coastal regions. The research concludes with practical implementation guidelines and policy recommendations for integrating WSB systems into existing grid infrastructure. The developed model serves as a robust tool for system sizing, energy management optimization, and reliability prediction, contributing significantly to the advancement of resilient renewable energy systems in coastal environments.
},
 year = {2026}
}

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TY  - JOUR
T1  - Advanced Wind-solar-battery Hybrid System Optimization for Grid Stability in Coastal Regions: A Comprehensive Numerical Investigation and Experimental Validation
AU  - Mostafa Shawky Abdelmoez
Y1  - 2026/08/14
PY  - 2026
N1  - https://doi.org/10.11648/j.ijees.20261104.13
DO  - 10.11648/j.ijees.20261104.13
T2  - International Journal of Energy and Environmental Science
JF  - International Journal of Energy and Environmental Science
JO  - International Journal of Energy and Environmental Science
SP  - 95
EP  - 105
PB  - Science Publishing Group
SN  - 2578-9546
UR  - https://doi.org/10.11648/j.ijees.20261104.13
AB  - 
This comprehensive research presents an in-depth investigation into the optimization of hybrid Wind-Solar-Battery (WSB) energy systems for enhanced grid stability and reliability in coastal regions, with specific focus on Mediterranean climate conditions. The study develops a sophisticated dynamic energy management model that integrates probabilistic forecasting, state-of-charge optimization, and grid frequency regulation strategies to evaluate system performance across multiple operational scenarios. The model incorporates time-dependent renewable generation profiles, battery degradation dynamics, and realistic grid integration constraints representing typical coastal microgrid applications. Validation against experimental data (2021-2024) demonstrates high accuracy with root-mean-square error (RMSE) values below 5.2% for both power output and state-of-charge predictions. Extensive parametric studies were conducted to assess the impact of critical operational variables including wind speed (4-12 m/s), solar irradiance (200-1000 W/m2), battery capacity (100-500 kWh), and load demand variability (20-100% of rated capacity) on system performance metrics. Results indicate that the optimized WSB configuration achieves a grid stability index of 98.7% under peak variability conditions, representing a 41% improvement over standalone renewable systems operating under identical conditions. The renewable penetration reaches 89.5% through intelligent energy management, while battery cycle life extends by 32% across the operational spectrum. Optimal battery dispatch was systematically identified through model predictive control, balancing grid support against degradation costs. The study introduces a novel multi-objective performance index combining grid stability, economic factors, and battery health, providing a holistic assessment tool for WSB system deployment. Comparative analysis with conventional hybrid systems reveals that WSB systems offer 25-38% higher grid support capability and 18-27% better economic returns over a 15-year lifecycle in coastal regions. The research concludes with practical implementation guidelines and policy recommendations for integrating WSB systems into existing grid infrastructure. The developed model serves as a robust tool for system sizing, energy management optimization, and reliability prediction, contributing significantly to the advancement of resilient renewable energy systems in coastal environments.

VL  - 11
IS  - 4
ER  -

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Author Information

Mostafa Shawky Abdelmoez

Mechanical Power Department Faculty of Engineering, Cairo University, Giza, Egypt

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http://orcid.org/0009-0002-2059-5243

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APA Style

Abdelmoez, M. S. (2026). Advanced Wind-solar-battery Hybrid System Optimization for Grid Stability in Coastal Regions: A Comprehensive Numerical Investigation and Experimental Validation. International Journal of Energy and Environmental Science, 11(4), 95-105. https://doi.org/10.11648/j.ijees.20261104.13

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ACS Style

Abdelmoez, M. S. Advanced Wind-solar-battery Hybrid System Optimization for Grid Stability in Coastal Regions: A Comprehensive Numerical Investigation and Experimental Validation. Int. J. Energy Environ. Sci. 2026, 11(4), 95-105. doi: 10.11648/j.ijees.20261104.13

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AMA Style

Abdelmoez MS. Advanced Wind-solar-battery Hybrid System Optimization for Grid Stability in Coastal Regions: A Comprehensive Numerical Investigation and Experimental Validation. Int J Energy Environ Sci. 2026;11(4):95-105. doi: 10.11648/j.ijees.20261104.13

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@article{10.11648/j.ijees.20261104.13,
  author = {Mostafa Shawky Abdelmoez},
  title = {Advanced Wind-solar-battery Hybrid System Optimization for Grid Stability in Coastal Regions: A Comprehensive Numerical Investigation and Experimental Validation},
  journal = {International Journal of Energy and Environmental Science},
  volume = {11},
  number = {4},
  pages = {95-105},
  doi = {10.11648/j.ijees.20261104.13},
  url = {https://doi.org/10.11648/j.ijees.20261104.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijees.20261104.13},
  abstract = {
This comprehensive research presents an in-depth investigation into the optimization of hybrid Wind-Solar-Battery (WSB) energy systems for enhanced grid stability and reliability in coastal regions, with specific focus on Mediterranean climate conditions. The study develops a sophisticated dynamic energy management model that integrates probabilistic forecasting, state-of-charge optimization, and grid frequency regulation strategies to evaluate system performance across multiple operational scenarios. The model incorporates time-dependent renewable generation profiles, battery degradation dynamics, and realistic grid integration constraints representing typical coastal microgrid applications. Validation against experimental data (2021-2024) demonstrates high accuracy with root-mean-square error (RMSE) values below 5.2% for both power output and state-of-charge predictions. Extensive parametric studies were conducted to assess the impact of critical operational variables including wind speed (4-12 m/s), solar irradiance (200-1000 W/m2), battery capacity (100-500 kWh), and load demand variability (20-100% of rated capacity) on system performance metrics. Results indicate that the optimized WSB configuration achieves a grid stability index of 98.7% under peak variability conditions, representing a 41% improvement over standalone renewable systems operating under identical conditions. The renewable penetration reaches 89.5% through intelligent energy management, while battery cycle life extends by 32% across the operational spectrum. Optimal battery dispatch was systematically identified through model predictive control, balancing grid support against degradation costs. The study introduces a novel multi-objective performance index combining grid stability, economic factors, and battery health, providing a holistic assessment tool for WSB system deployment. Comparative analysis with conventional hybrid systems reveals that WSB systems offer 25-38% higher grid support capability and 18-27% better economic returns over a 15-year lifecycle in coastal regions. The research concludes with practical implementation guidelines and policy recommendations for integrating WSB systems into existing grid infrastructure. The developed model serves as a robust tool for system sizing, energy management optimization, and reliability prediction, contributing significantly to the advancement of resilient renewable energy systems in coastal environments.
},
 year = {2026}
}

Copy | Download

TY  - JOUR
T1  - Advanced Wind-solar-battery Hybrid System Optimization for Grid Stability in Coastal Regions: A Comprehensive Numerical Investigation and Experimental Validation
AU  - Mostafa Shawky Abdelmoez
Y1  - 2026/08/14
PY  - 2026
N1  - https://doi.org/10.11648/j.ijees.20261104.13
DO  - 10.11648/j.ijees.20261104.13
T2  - International Journal of Energy and Environmental Science
JF  - International Journal of Energy and Environmental Science
JO  - International Journal of Energy and Environmental Science
SP  - 95
EP  - 105
PB  - Science Publishing Group
SN  - 2578-9546
UR  - https://doi.org/10.11648/j.ijees.20261104.13
AB  - 
This comprehensive research presents an in-depth investigation into the optimization of hybrid Wind-Solar-Battery (WSB) energy systems for enhanced grid stability and reliability in coastal regions, with specific focus on Mediterranean climate conditions. The study develops a sophisticated dynamic energy management model that integrates probabilistic forecasting, state-of-charge optimization, and grid frequency regulation strategies to evaluate system performance across multiple operational scenarios. The model incorporates time-dependent renewable generation profiles, battery degradation dynamics, and realistic grid integration constraints representing typical coastal microgrid applications. Validation against experimental data (2021-2024) demonstrates high accuracy with root-mean-square error (RMSE) values below 5.2% for both power output and state-of-charge predictions. Extensive parametric studies were conducted to assess the impact of critical operational variables including wind speed (4-12 m/s), solar irradiance (200-1000 W/m2), battery capacity (100-500 kWh), and load demand variability (20-100% of rated capacity) on system performance metrics. Results indicate that the optimized WSB configuration achieves a grid stability index of 98.7% under peak variability conditions, representing a 41% improvement over standalone renewable systems operating under identical conditions. The renewable penetration reaches 89.5% through intelligent energy management, while battery cycle life extends by 32% across the operational spectrum. Optimal battery dispatch was systematically identified through model predictive control, balancing grid support against degradation costs. The study introduces a novel multi-objective performance index combining grid stability, economic factors, and battery health, providing a holistic assessment tool for WSB system deployment. Comparative analysis with conventional hybrid systems reveals that WSB systems offer 25-38% higher grid support capability and 18-27% better economic returns over a 15-year lifecycle in coastal regions. The research concludes with practical implementation guidelines and policy recommendations for integrating WSB systems into existing grid infrastructure. The developed model serves as a robust tool for system sizing, energy management optimization, and reliability prediction, contributing significantly to the advancement of resilient renewable energy systems in coastal environments.

VL  - 11
IS  - 4
ER  -

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