Interconnected microgrids optimization via reconfiguration-based modular approach.

This paper addresses the reconfiguration of two link power distribution networks (PDNs) under two scenarios: horizontal and vertical interconnections. Recent metaheuristic algorithms such as the Slime Mould Algorithm (SMA) and Artificial Hummingbird Algorithm (AHA) are used for identifying the optimal tie switches (TSs) to insert within each PDN upon interconnection. Both PDNs, of 33 bus each, are horizontally or vertically interconnected. Simulation results, using MATLABTM, demonstrate significant improvements in both power loss reduction and voltage profile improvement. Specifically, after the insertion of the fifth TS, a reduction of over 28% and 39% in power losses is achieved in the horizontal and vertical scenarios, respectively. Additionally, the voltage magnitude (V m v m) reaches a value of 0.9423 pu and 0.9481 pu, respectively. Furthermore, the results show that AHA outperforms other techniques to efficiently reconfigure interconnected PDNs. • Implementing robust PDN reconfiguration for optimal interconnection of two microgrids. • Providing detailed assumptions for TS parameter calculations in real-world simulations. • Studying two scenarios: interconnected MGs with horizontal and vertical connections. • Using SMA and AHA to optimize TS positions in each MG and between MGs. • Improving the voltage profile and minimizing power losses in interconnected MGs. [ABSTRACT FROM AUTHOR]