In the heart of Tamil Nadu, India, a groundbreaking study is set to revolutionize how we manage energy in smart grids. Led by Mahalakshmi Pethaperumal from Alagappa University’s Department of Mathematics, this research tackles the complexities of modern power grids, which are increasingly integrating renewable energy sources, electric vehicles, and energy storage systems. The goal? To create an advanced energy management system that can handle the variability and uncertainties of these new components.
Pethaperumal’s study, published in Applied Engineering Letters, introduces a novel decision-making framework that could significantly enhance energy management in smart grids. The framework leverages a new score function for comparing q-rung orthopair multi-fuzzy soft numbers, a complex but powerful tool for decision-making in uncertain environments. “This approach allows us to handle the variability of renewable resources, uncertainties in electric vehicle performance, and fluctuating electricity prices more effectively,” Pethaperumal explains.
The framework uses the Criteria Importance Through Inter-criteria Correlation (CRITIC) method to determine objective weights, incorporating both objective data and subjective preferences. This dual approach ensures that the decision-making process is both data-driven and aligned with human intuition. The Combined Compromise Solution (CoCoSo) method is then applied within the Lq* q-rung orthopair multi-fuzzy soft decision-making structure to select optimal energy management policies.
But what does this mean for the energy sector? In a world where renewable energy sources are becoming increasingly prevalent, the ability to manage these resources effectively is crucial. Pethaperumal’s research offers a promising solution, providing a robust and effective methodology for energy management in modern power systems. This could lead to more efficient use of renewable energy, reduced reliance on fossil fuels, and lower electricity costs for consumers.
The study’s extensive sensitivity analysis confirms the robustness of the proposed methodology, suggesting that it could be a game-changer in the energy sector. As Pethaperumal puts it, “Our framework offers a promising solution for efficient energy management in modern power systems, paving the way for a more sustainable future.”
The implications of this research are far-reaching. It could shape future developments in energy management, leading to more efficient, sustainable, and cost-effective power systems. As we continue to integrate more renewable energy sources and electric vehicles into our grids, the need for advanced energy management systems will only grow. Pethaperumal’s research provides a significant step forward in this direction, offering a glimpse into the future of energy management.
The study was published in Applied Engineering Letters, a journal that translates to “Practical Engineering Letters” in English. This publication underscores the practical applications of Pethaperumal’s research, highlighting its potential impact on the energy sector. As we move towards a more sustainable future, studies like this will be crucial in shaping the energy landscape.
