Abstract
Recent attention is focused on interlinked (networked) hybrid connected microgrids (MGs) because of their technical and economic benefits over traditional ones. A system like that would connect the DC resources, such as solar energy, to DC busses and the AC resources, such as wind turbines, to AC busses. Therefore, the system's overall performance is remarkably improved. In addition, it is cost-effective compared to traditional grids since no power electronics are required to convert DC to AC. While a system like this has numerous benefits, it also has numerous challenges. System-level energy management (EM), for example, presents greater challenges because each change in the subsystem (DC/AC sections) may potentially alter the EM for the whole grid. Therefore, the present study develops the whale optimization algorithm (WOA) for finding the optimum solution. Additionally, blockchain (BC) technology has been applied for increasing the security of power trading in hybrid MGs (HMGs). Stochastic load flow, according to a copula model, is used to create a realistic layout. According to the results, the suggested networked HMG-EM structure based on BC is demonstrated as being effective.
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