A Model Predictive Control-Based Voltage and Frequency Regulation through Distributed Generation in Isolated Microgrids: Part II Model Predictive Controller Implementation

Abstract

To realize operation automation in remote islanded microgrids, a model predictive control (MPC)-based distributed generation (DG) controller is proposed in Part 2 of this paper. The developed data-driven predictive model in Part 1 of this paper is implemented in Part 2 to realize the MPC controller. The proposed MPC controller does not incorporate any tunable coefficients, which may be sensitive under various operating conditions. Kalman filter-based state observer updates the system model with varying operating conditions. The KWIK optimizer is used to solve the MPC’s constrained quadratic programming problem as it ensures a guaranteed convergence. The controller is smaller in size and does not require any intra-DG communication network. It ensures equal and proportional power sharing despite feeder line impedance mismatch. The effectiveness of the proposed MPC controller is validated through case studies.