Distributed Microgrid Management Using Passivity-Based Generalized Primal-Dual Dynamics

Abstract

This paper presents a distributed model predictive control (MPC) technique for power management of a PV-installed microgrid using passivity-based generalized primal-dual dynamics. The PV power has large uncertainty because it depends on weather conditions. To keep stable power supply to the microgrid, both accurate prediction of PV power supplies and efficient energy management based on the prediction are essential. We propose a method for microgrid management by combining the MPC and the passivity-based generalized primal-dual dynamics. The passivity-based primal-dual method can solve a certain class of convex optimization problem in a distributed manner. We demonstrate the effectiveness of the proposed method by a numerical simulation.