Adaptive Robust Energy Management of Smart Grid with Renewable Integrated Energy System

A new study on renewable energy, conducted by researchers at Islamic Azad University, has made significant discoveries in the field of smart grid energy management. The research, published in the journal Results in Engineering, explores the application of adaptive robust energy management in a smart grid with renewable integrated energy systems, fuel cells, and electric vehicles stations. The study demonstrates the potential for improved economic, operational, environmental, and voltage security conditions by up to 44.4% and 33.6%, respectively.

Key Takeaways:

• The research proposes an adaptive robust energy management scheme that integrates renewable resources, charging stations, and hydrogen stations for electric vehicles in a smart grid.
• The scheme aims to minimize total operating, energy losses, and environmental costs of the grid while considering uncertainties in load, renewable resources, charging and hydrogen stations, and energy prices.
• The robust optimization method used in the scheme allows it to obtain an operation that is robust against forecast errors of the aforementioned uncertainties.
• The study demonstrates the ability of energy management to improve voltage security of the grid by up to 24.7% compared to load flow studies.
• The application of optimal penalty prices for energy losses and pollution reduces pollution and energy losses by up to 45.15% and 34.1%, respectively.

Statistics:

• The scheme improves economic conditions by up to 33.6% and operational conditions by up to 37.4% compared to load flow studies.
• The scheme reduces pollution and energy losses by up to 45.15% and 34.1%, respectively.
• The robust optimization method used in the scheme provides a solution that is robust against 35% of the prediction error of various uncertainties.
• The study demonstrates the ability of energy management to improve voltage security of the grid by up to 24.7% compared to load flow studies.

Sources:

• Islamic Azad University
• Results in Engineering by Elsevier
• Kazem Emdadi, Department of Electrical Engineering, Sav. C, Islamic Azad University, Saveh, Iran
• Majid Gandomkar, Javad Nikoukar, co-authors of the research
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