Dual Decomposition-Based Distributed Microgrid Managament with PV Prediction

This paper deals with a dual decomposition-based distributed model predictive control (MPC) technique for power management of a microgrid with mass introduction of photovoltaic (PV) energy supplies. 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 dual decomposition-based MPC and the PV power prediction. The dual decomposition is a technique for solving an optimization problem in a distributed manner. We demonstrate the effectiveness of the proposed method by a numerical simulation.