Optimal reliable and resilient construction of dynamic self‐adequate multi‐microgrids under large‐scale events

Existence of distributed generators (DGs) makes it possible to split distribution systems into multi‐microgrids (MGs) in emergency conditions. In this study, after optimal allocation of distributed generation sources with a multi‐objective function, the test system is optimally sub‐divided into some self‐adequate MGs with the least not supplied active and reactive power during large‐scale events. By using the proposed method, the network will be more resilient against large‐scale events such as critical lines outages or big generation outage under natural events with the optimal voltage regulation for each MG. The multi‐objective problem is solved by the fuzzy satisfying approach and Pareto optimality methods. The proposed method in this study is based on the exchange market algorithm and tested on two systems, IEEE 33‐ and 69‐bus distribution systems. Also, under normal network conditions, operation of distribution networks is evaluated using different objective functions like micro‐virtual networks with minimum power exchange and loss minimisation, to determine which function causes the network to have the best status in terms of reliability and resiliency. Obtained results confirm the efficiency of this method for partitioning distribution systems to increase network robustness before a fault occurrence and also improve reliability and resiliency after a fault occurrence.