On MPC-based Strategies for Optimal Voltage References in DC Microgrids

• DOI: 10.48550/arxiv.2304.13495
• Publication Date: 2023-06-13
• Authors: Jané-Soneira, Pol; Prodan, Ionela; Malan, Albertus J.; Hohmann, Sören
• Keywords: ddc:720; 0209 industrial biotechnology; Architecture; FOS: Electrical engineering, electronic engineering, information engineering; 720; 02 engineering and technology; Systems and Control (eess.SY); 7. Clean energy; Electrical Engineering and Systems Science - Systems and Control; info:eu-repo/classification/ddc/720

Modern power systems are characterized by low inertia and fast voltage dynamics due to the increase of sources connecting via power electronics and the removal of large traditional thermal generators. Power electronics are commonly equipped with fast controllers that are able to reach a desired voltage setpoint within seconds. In this paper, we propose and compare two approaches using Model Predictive Control (MPC) to compute optimal voltage references for the power electronic devices in order to minimize the losses in a DC microgrid: i) a traditional setpoint-tracking MPC which receives a previously computed optimal setpoint; ii) an economic MPC which does not require a priori computed setpoints. We show that the economic MPC outperforms the setpoint-tracking MPC in simulations with the CIGRE benchmark system when multiple load disturbances occur. Some insights and discussions related to the stability of the closed-loop system using its dissipativity properties are highlighted for both approaches.