Optimization of task sharing towards multi-agent control of PEBB based power systems

In a power electronic system with several multi-functional Power Electronics Building Blocks (PEBB) converters, one big challenge is the control coordination of the power electronic devices to ensure stability and power quality as well as feeding the loads and manage energy storage. In this context, we aim at finding an optimal coordination method in the form of task sharing among the PEBB converters. In this paper, the task sharing of the PEBBs converters is defined and facilitated by solving optimization problems. Sharing coefficients that quantify the contribution of individual converters are defined based on the Currents' Physical Components (CPC) Theory. As the first step towards Multi-Agent System (MAS) control of the PEBB based power system, the optimization of the task sharing is performed in a centralized manner by a system agent. Each PEBB converter is controlled by a local agent that receives the reference signal from the system agent. The optimization for the criterion of equal utilization of the converters and the criterion of minimum losses has been performed on a Microgrid test case in simulation.