In an era where renewable energy resources (RERs) are becoming increasingly vital, a groundbreaking study led by Marriam Liaqat from the National University of Computer and Emerging Sciences (FAST) promises to reshape how energy storage systems are selected for prosumer-based smart grids. Published in ‘IEEE Access’, this research introduces a hybrid multi-criteria decision framework aimed at addressing the pressing reliability issues that smart grids face today.
As the energy landscape evolves, prosumers—individuals or entities that both produce and consume energy—are at the forefront of this transformation. However, the challenge lies in effectively integrating competitive storage technologies that can optimize energy flow and enhance system reliability. Liaqat emphasizes the urgency of this need, stating, “The systematic selection of energy storage technologies is crucial for the sustainability and efficiency of smart grids, especially as we move toward more decentralized power systems.”
The study meticulously outlines a decision-making hierarchy that revolves around three primary criteria: energy flow management, technical features, and sustainability. By employing two well-established multi-criteria decision-making (MCDM) methods—Analytic Hierarchy Process (AHP) and Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE)—the research provides a comprehensive approach to evaluating energy storage options. Interestingly, the findings revealed a divergence in preferences between the two methods, with lithium-ion batteries (LIB) emerging as the top choice in AHP, while lead-acid batteries (LAB) were favored in PROMETHEE. This nuanced understanding of storage technologies is critical for energy stakeholders who must navigate a complex marketplace.
The hybrid approach combining AHP and PROMETHEE yielded a robust solution, ultimately reaffirming LIB as the preferred storage option. “Our hybrid model not only streamlines the decision-making process but also offers flexibility for future evaluations as new technologies and criteria emerge,” Liaqat notes, highlighting the model’s adaptability to ongoing changes in the energy sector.
The implications of this research extend far beyond academic interest. For energy companies and policymakers, the ability to rapidly and accurately evaluate various storage alternatives is paramount. As the demand for decentralized energy solutions grows—especially in peer-to-peer networks—this framework can serve as a valuable tool for making informed choices that enhance grid reliability and sustainability.
Moreover, the study underscores the importance of evolving energy management strategies, particularly as the landscape becomes increasingly competitive. “In the future, relying on a limited number of storage options will not suffice,” Liaqat warns, urging stakeholders to embrace a diverse array of technologies to meet the complex needs of emergent power systems.
As the energy sector continues to grapple with the integration of renewable resources, the insights from this research present a pathway toward more resilient and efficient smart grids. The hybrid decision-making framework not only addresses current challenges but also sets the stage for innovative developments in energy storage solutions.
For more information on this pivotal research, you can visit National University of Computer and Emerging Sciences (FAST). Published in ‘IEEE Access’, this study is a significant contribution to the ongoing dialogue about energy management and sustainability in the modern world.
