Control of a radial micro-grid with unbalanced loads based on a Distributed Model Predictive Control for grid mode operation

This paper presents a distributed finite control set model predictive control (DFCS-MPC) approach to control a microgrid with grid mode of operation. The micro-grid supplies a combination of balanced and unbalanced loads. Converters are controlled to feed current according to shared factors. All grid and micro-grid components are decomposed into positive and negative sequences. Each converter has an associated cost function that is minimized to find the optimal control actuation. In this way the control is decentralized. To validate the approach, a two unit micro-grid is simulated. Emphasis is on the tracking efficiency of sequence components currents. Validation is performed for a strong and weak main grid. Results confirm good tracking performance of the controller for both conditions of the main grid.

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