Brain Amygdala Modelling for Microgrid Control and Protection

Brain-inspired algorithms offer enormous potential for enhancing microgrid (MG) control and protection by mimicking the cognitive and behavioral processes of the brain. This interdisciplinary approach draws insights from neuroscience to improve the performance of next-generation MGs. While existing methods utilize brain emotional learning (BEL) for stabilizing frequency and voltage, and optimizing energy management, there is a gap in leveraging the intrinsic self-protective mechanisms of the brain for the protection of MGs. This presents an opportunity to explore the potential of brain-inspired algorithms for programming protection relays that their settings should be adapted to evolving conditions of electricity grids. The amygdala (AMYG), a key element in defensive behavior and emotional response regulation, provides a "panoramic view" of both internal and external contexts, aiding adaptive control. This paper aims to establish parallels between AMYG neural processes and MG systems, constructing a conceptual framework to foster comprehension, inspire innovation, and potentially drive novel approaches for the protection and operation management of MGs.