In a groundbreaking study published in ‘Science and Technology for Energy Transition,’ researchers have unveiled an innovative approach to enhancing power quality in modern power grids through the integration of Internet of Things (IoT) technology and Adaptive Neuro-Fuzzy Inference Systems (ANFIS). Led by Tabassum Saleha from the Department of Electrical and Electronics Engineering, Vignan’s Foundation for Science, Technology and Research, this research addresses a pressing challenge faced by energy providers: the need for improved power quality amidst the increasing complexity of energy systems that incorporate renewable sources.
As the energy landscape evolves, traditional methods for managing power quality often prove inadequate, leading to inefficiencies and potential disruptions. Saleha emphasizes the urgency of this issue, stating, “With the rise of renewable energy sources like Solar PV and Wind Generating Systems, ensuring stable and high-quality power is crucial for both operational efficiency and consumer satisfaction.”
The research introduces a sophisticated IoT-based energy surveillance system that leverages a Wireless Sensor Network for real-time data collection and analysis. This allows for precise monitoring of electricity usage, which is vital for optimizing energy management and reducing costs. The integration of ANFIS—combining the capabilities of Artificial Neural Networks and Fuzzy Logic Systems—enables the system to adapt and respond to varying conditions in real-time, enhancing both power distribution and control.
The findings are promising, showing a remarkable 20.50% performance increase during the startup phase of Solar PV-Wind Generating Systems. This significant improvement not only boosts power quality but also enhances the efficiency of renewable energy sources, indicating a transformative potential for energy regulation. Saleha notes, “Our approach not only addresses current inefficiencies but also paves the way for a more resilient and adaptable energy infrastructure that can support a sustainable future.”
As energy providers seek to meet growing demand while integrating more renewable sources, the commercial implications of this research are profound. Improved power quality translates to reduced operational costs and enhanced reliability, making it an attractive proposition for energy companies looking to maintain competitiveness in a rapidly evolving market.
This innovative research not only sets the stage for advancements in smart grid technology but also highlights the critical role of adaptive systems in the energy sector. As the industry faces ongoing challenges related to power quality and management, the integration of IoT and ANFIS could become a cornerstone of future developments, driving both efficiency and sustainability in energy production and consumption.
