Predictive controller for interconnected microgrids

Abstract

This research presents a robust model predictive controller of two microgrids (MGs) interconnected via tie-line (TL) power. Power system operations continue to face new challenges due to the large integration of renewable energy generation with an active load demand uncertainty and the management and control of bidirectional power flow between MGs and others uncertainties and system nonlinearities due to the power system operating condition. To handle these uncertainties and system nonlinearities a robust model using predictive control scheme is presented in this paper to achieve the control of the active power between two MGs when considering three disturbances scenario models. In the design process, uncertainties and nonlinearities of the system were taken into account and contributed to the robustness of the closed-loop system. Robust control scheme development considering power system nonlinearities and uncertainties were used to improve the online closeloop robustness. The model helped to achieve a desired active power regulation by coordinating the MGs and active power over-shoot and under-shoot time were reduced outstandingly. A Comparison was made between open-loop and close-loop simulation results, which indicate that the model can handle robustness while settling power deviation of the interconnected system. MATLAB environment was used to solve the optimisation problem.