Adaptive Clustering for Distributed Load Management in Industrial Consumers: a Swarmbased Approach

This study presents a novel adaptive cluster concept for energy management and optimal energy distribution for industrial power systems to minimize load shedding and frequency regulation during grid disturbances. The proposed strategy dynamically forms clusters of industrial loads using data-driven optimization as a decision-making framework. Using a numerical optimization technique, a simulation-based analysis is conducted to evaluate the performance and assess the impact of adaptive cluster-based load-shedding on frequency stability. The results illustrate that the adaptive clustering concept improves resilience compared to independent load-shedding techniques and optimizes the load distribution while regulating the frequency response.