A Control Strategy for Multiterminal DC Grids with Renewable Production and Storage Devices

Miguel Jiménez Carrizosa (1) , Amir Arzande (2) , Fernando Dorado Navas (3) , Gilney Damm (4) , Jean-Claude Vannier (2)

1 UPM - Universidad Politécnica de Madrid
2 GeePs - Laboratoire Génie électrique et électronique de Paris
3 Universidad de Sevilla = University of Seville
4 L2S - Laboratoire des signaux et systèmes

This paper provides a solution for the control of multiterminal dc networks from the point of view of the network's transmission system operator, which includes local, primary, and secondary controllers. A new power flow technique is validated for this approach, which guarantees the stability and requires fewer calculations than the conventional techniques. This study also describes an optimal control strategy for intermittent (renewable) energy producers, where the controller periodically transmits information about its state to the system operator. Its main goal is to optimize economic profit for the producer. This last controller is implemented via model predictive control. The whole control strategy is validated in a scaled dc grid test-bench with four nodes. Real solar production (5 kW rated power), a storage system, as well as short-term weather and consumption forecasts are also included. © 2010-2012 IEEE.

Mots clés: system operator; power flow techniques; renewable energy; storage devices; DC-TSO; droop control; maximum power point tracking; model predictive control; MT-HVDC; supervisor; IEEE Transactions on Sustainable Energy DC power systems; Predictive control

Domaines: Sciences de l'ingénieur [physics]

Miguel Jiménez Carrizosa, Amir Arzande, Fernando Dorado Navas, Gilney Damm, Jean-Claude Vannier. A Control Strategy for Multiterminal DC Grids with Renewable Production and Storage Devices. IEEE Transactions on Sustainable Energy , 2018, 9 (2), pp.930-939. ⟨10.1109/TSTE.2017.2766290⟩. ⟨hal-02413605⟩