Optimal Hierarchical Control of DC Microgrids: modeling and experimental validation

Publications - Paper

Optimal Hierarchical Control of DC Microgrids: modeling and experimental validation

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#DC Distribution #Distributed Generation #Electricity Network #Planning #Renewable Energy #Storage Systems DC #Microgrids

Publications - Paper

Optimal Hierarchical Control of DC Microgrids: modeling and experimental validation

This paper presents a hierarchical control for direct current microgrids. The proposed hierarchical control has been validated with good results across RSE’s low voltage direct current microgrid

Direct current microgrids are attracting growing interest thanks to the advantages offered by the integration of renewables. This paper presents a hierarchical control for DC microgrids that optimizes multiple control objectives, such as (i) voltage regulation, (ii) loss minimization, (iii) energy sharing, (iv ) the management of storage systems and (v) economic savings. Hierarchical control consists of sequential actions in which the upper level generates the optimal plan for generators and storage systems, which is sent and used by a model predictive control (MPC) controller. This controller has three main functions, namely (i) voltage regulation, (ii) energy storage management and (iii) day-ahead schedule tracking. The MPC actions are carried out by generating references for low-level controllers and considering the limits and characteristics of the network components and generators. The proposed hierarchical control has been validated with good results across RSE’s low voltage direct current microgrid.

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Publications - Paper

Optimal Hierarchical Control of DC Microgrids: modeling and experimental validation

Publications - Paper

Optimal Hierarchical Control of DC Microgrids: modeling and experimental validation

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