In a significant advancement for the energy sector, researchers have developed a novel control strategy aimed at enhancing frequency stability in power systems that incorporate renewable energy sources (RES) and electric vehicles (EVs). The study, led by Asini Kumar Baliarsingh from the Department of Electrical Engineering at the Government College of Engineering in Odisha, India, introduces a hybrid control algorithm that combines the Arithmetic Optimization Algorithm (AOA) with Local Unimodal Sampling (hAOA-LUS). This innovative approach is designed to optimize the performance of a fractional order proportional derivative (PD) controller, cascaded with a one-plus proportional integral (1+PI) controller.
The research focuses on two control areas, each equipped with a mix of thermal, hydro, gas, and renewable energy sources such as wind and solar. By initially evaluating traditional Proportional-Integral-Derivative (PID) controllers, the study demonstrates that the newly proposed hAOA-LUS method significantly outperforms other optimization techniques, including Particle Swarm Optimization and Genetic Algorithm (GA). “Our findings indicate that the hAOA-LUS-tuned controller not only enhances frequency control but also minimizes overshoots and undershoots during load perturbations,” Baliarsingh remarked, emphasizing the practical implications of their work.
The integration of electric vehicles into the power system presents both opportunities and challenges, as these vehicles can act as mobile energy storage units. By optimizing controller parameters in the presence of EVs, the research aims to facilitate a more stable and efficient grid. This is particularly crucial as the world moves towards a greener energy landscape, where the demand for reliable and responsive power systems is paramount. The comparative analysis of the hAOA-LUS-tuned fractional order PD(1+PI) controller against traditional methods showcases its potential to revolutionize frequency control, ultimately leading to a more resilient energy infrastructure.
The implications of this research extend beyond theoretical advancements. As the energy sector increasingly embraces renewable technologies and electric mobility, the need for sophisticated control systems becomes ever more pressing. Baliarsingh’s work could pave the way for more efficient integration of RES and EVs into the grid, potentially reducing operational costs and enhancing energy security. “The future of energy management lies in our ability to harness these technologies effectively,” he noted, hinting at the broader commercial impacts that such innovations could foster.
Published in ‘Electrica’, which translates to ‘Electrical’, this study not only contributes to academic discourse but also serves as a critical resource for industry stakeholders looking to enhance the operational efficiency of power systems. For more insights into this groundbreaking research, you can visit the Department of Electrical Engineering, Government College of Engineering, Odisha, India. As the energy landscape continues to evolve, this research may well be a cornerstone for future developments in smart grid technologies and sustainable energy management.
