TY  - GEN
CY  - London, United Kingdom
TI  - Resilient Distributed MPC Algorithm for Microgrid Energy Management under Uncertainties
PB  - IEEE
SP  - 602
ID  - discovery10155849
N2  - This paper proposes a resilient distributed energy management algorithm able to cope with different types of faults in a DC microgrid system. A distributed optimization method allows to solve the energy management problem without sharing any private data with the network and reducing the computational cost for each agent, with respect to the centralised case. A distributed MPC scheme based on distributed optimization is used to cope with uncertainty that characterizes the microgrid operation. In order to be resilient to faults that limit the amount of power available to consumers, we propose to adaptively store an amount of power in the storage systems to support the loads. A soft constraint on the minimum energy stored in each battery is introduced for feasibility and to cope with persistent faults. The effectiveness of the method is proved by extensive simulation results considering faults on three types of components: renewable generator, distribution grid and communication network.
AV  - public
KW  - Renewable energy sources
KW  -  Uncertainty
KW  -  Simulation
KW  -  Fault detection
KW  -  Optimization methods
KW  -  Microgrids
KW  -  Generators
A1  - Casagrande, V
A1  - Prodan, I
A1  - Spurgeon, SK
A1  - Boem, F
Y1  - 2022/08/05/
UR  - https://doi.org/10.23919/ECC55457.2022.9838078
EP  - 607
N1  - This version is the author accepted manuscript. For information on re-use, please refer to the publisher?s terms and conditions.
ER  -