Under voltage optimal load shedding scheme for islanded microgrids using iterative mapped differential evolution algorithm

Maintaining frequency and voltage stability is crucial for the optimal functioning of an islanded microgrid connected to Distributed Generators (DGs). Conventional Under Voltage Load Shedding (UVLS) schemes must effectively identify the optimal amount of load to shed and the optimal voltage profile of microgrids, culminating in excessive or insufficient load shedding. Therefore, this research proposes Iterative Mapped Differential Evolution Algorithm (IMDEA) to achieve an optimal solution for an optimal load-shedding technique. A constrained function with total remaining load and static Voltage Stability Margin (VSM) index was used to assess the optimal load shedding technique. In addition, the proposed IMDEA algorithm is compared with some of the contemporary metaheuristics algorithms applied in this domain, such as the Slime Mould Algorithm (SMA), Backtrack Search Algorithm (BSA), and the Differential Evolution Algorithm (DEA). The IEEE 33-bus system is utilized as the test system in this study. The results show that the IMDEA outperforms all the algorithms in the objectives investigated.