Distributed Average Integral Control Based Energy Management Model

In this research study, we proposed a Distributed Average Integral (DAI) control-based Energy Management Model (EMM) to achieve the economic load dispatch and consensus within a distributed energy system. The proposed model incorporates the Laplacian graph theory for establishing communication among energy districts (acting as agents/nodes) and optimizing the power distribution while satisfying the load demand. In order to evaluate the effectiveness of the proposed model, simulations are performed using MATLAB. The simulation results illustrate that the DAI control mechanism ensures the optimized power distribution leading to enhanced resource utilization while effectively achieving economic consensus among energy districts. However, in this study ideal case scenario is assumed. Therefore, this research study may highlight the potential for future investigations on utilizing the DAI control for EMM in practical scenarios with real-world challenges such as system complexities, losses, and communication delays.