¿Cómo Optimizar la Integración de Energías Renovables en Redes Eléctricas? Un Análisis de Optimización Multivariada

Christian Paul Reyes Orozco; Cristian Luis Inca Balseca

doi:10.70577/ASCE/261.285/2025

Authors

Christian Paul Reyes Orozco Escuela Superior Politécnica de Chimborazo (ESPOCH) https://orcid.org/0009-0002-8254-4564
Cristian Luis Inca Balseca Escuela Superior Politécnica de Chimborazo (ESPOCH) https://orcid.org/0000-0002-4795-8297

DOI:

https://doi.org/10.70577/ASCE/261.285/2025

Keywords:

Renewable energies, Grid integration, Optimization, Artificial intelligence, Energy sustainability

Abstract

The integration of renewable energies into electricity grids is an essential component of the global transition to sustainable, low-carbon energy systems. However, this integration faces significant challenges, such as the variability and intermittency of sources such as solar and wind, the need to modernize obsolete infrastructure, and the complexity of traditional electricity markets. To address these challenges, advanced optimization techniques have been developed based on artificial intelligence, machine learning, statistical modeling, and digital technologies such as digital twins and the Internet of Things (IoT). These tools make it possible to improve demand and generation forecasting, optimize grid operation and manage decentralized resources more efficiently. In addition, energy storage and microgrid systems play a key role in mitigating the variability of renewables and ensuring stability of supply. The analysis presented also highlights the importance of public policies, appropriate regulatory frameworks and cooperation between sectors to facilitate an effective energy transition. Overall, the successful integration of renewables requires a multidisciplinary approach that combines technological innovation, smart management strategies, investment in modern infrastructure, and coordinated energy planning at regional and national levels.

Downloads

Download data is not yet available.

References

Aykut, E., & Alshuraida, I. (2024). Grid integration strategies for optimizing renewable energy deployment and grid resilience. Balkan Journal of Electrical and Computer Engineering, 12(3), 247–254. https://doi.org/10.17694/bajece.1529149 DOI: https://doi.org/10.17694/bajece.1529149

Branding, E. (2025). Challenges of renewable energy in power markets. Retrieved July 9, 2025, from https://montel.energy/resources/blog/what-are-the-challenges-of-renewable-energy-in-power-markets

Challenges faced by renewable energy companies in grid integration of solar and wind farms in the usa | cmc global consulting. (n.d.). Retrieved July 9, 2025, from https://www.cmc-global.consulting/insights/blog/challenges-faced-by-renewable-energy-companies-in-grid-integration-of-solar-and-wind-farms-in-the-usa

Chen, J., & Li, L. (2024). Optimization of renewable energy integration in smart grids using AI and data analytics. IET Conference Proceedings, 2024(20), 111–116. https://doi.org/10.1049/icp.2024.4090 DOI: https://doi.org/10.1049/icp.2024.4090

Directory, S. (2025). Grid integration challenges – energy → sustainability directory. Retrieved July 9, 2025, from https://energy.sustainability-directory.com/term/grid-integration-challenges/

Ethirajan, V., & Mangaiyarkarasi, S. P. (2025). An in-depth survey of latest progress in smart grids: Paving the way for a sustainable future through renewable energy resources. Journal of Electrical Systems and Information Technology, 12(1), 9. https://doi.org/10.1186/s43067-025-00195-z DOI: https://doi.org/10.1186/s43067-025-00195-z

Hassan, A. A., & Atia, D. M. (2024). Optimizing microgrid integration of renewable energy for sustainable solutions in off/on-grid communities. Journal of Electrical Systems and Information Technology, 11(1), 61. https://doi.org/10.1186/s43067-024-00186-6 DOI: https://doi.org/10.1186/s43067-024-00186-6

Jannesar, M. R., Sedighi, A., Savaghebi, M., Anvari-Moghadam, A., & Guerrero, J. M. (2020). Optimal multi-objective integration of photovoltaic, wind turbine, and battery energy storage in distribution networks. Journal of Energy Management and Technology, 4(4). https://doi.org/10.22109/jemt.2020.217725.1227

Kazan State Energy University, Kazan, Russian Federation, & Vassunova, Y. Yu. (2024). Smart grids optimization with renewable energy sources integration. EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA, 9/6(150), 146–156. https://doi.org/10.36871/ek.up.p.r.2024.09.06.017 DOI: https://doi.org/10.36871/ek.up.p.r.2024.09.06.017

Lee, S. (2025). Renewable energy grid integration: Challenges and solutions. Retrieved July 9, 2025, from https://www.numberanalytics.com/blog/renewable-energy-grid-integration-challenges-solutions

Paranthaman, V., Mothilal, T., Natrayan, L., & Irfan, M. (2024). Optimizing renewable energy integration: A novel pso-adp control scheme for enhanced energy storage system performance. 2024 14th International Conference on Cloud Computing, Data Science & Engineering (Confluence), 154–159. https://doi.org/10.1109/Confluence60223.2024.10463352 DOI: https://doi.org/10.1109/Confluence60223.2024.10463352

Quizhpe, K., Arévalo, P., Ochoa-Correa, D., & Villa-Ávila, E. (2024). Optimizing microgrid planning for renewable integration in power systems: A comprehensive review. Electronics, 13(18), 3620. https://doi.org/10.3390/electronics13183620 DOI: https://doi.org/10.3390/electronics13183620

Rajaperumal, T. A., & Columbus, C. C. (2025). Transforming the electrical grid: The role of AI in advancing smart, sustainable, and secure energy systems. Energy Informatics, 8(1), 51. https://doi.org/10.1186/s42162-024-00461-w DOI: https://doi.org/10.1186/s42162-024-00461-w

Renewable energy and grid stability: Modern infrastructure challenges and solutions. (2025). PVcase. Retrieved July 9, 2025, from https://pvcase.com/blog/renewable-energy-and-grid-stability-modern-infrastructure-challenges-and-solutions

Xinlei, wang. (2023, May 3). Using renewables in energy grids–challenges & solutions. Patsnap. https://www.patsnap.com/resources/blog/integrating-renewables-into-the-existing-energy-grid-challenges-and-solutions/

Zhang, H., Tang, Q., Xu, D., & Wang, J. (2023). Integrated energy system multi-horizon investment optimization considering grid and renewable constraints. 2023 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia), 718–725. https://doi.org/10.1109/ICPSAsia58343.2023.10295035 DOI: https://doi.org/10.1109/ICPSAsia58343.2023.10295035