Artificial Intelligence-Based Protection for Smart Grids

Lately, adequate protection strategies need to be developed when Microgrids (MGs) are connected smart grids prevent undesirable tripping. Conventional relay settings adapted changes in Distributed Generator (DG) penetrations or grid reconfigurations, which is a complicated task that can solved efficiently using Artificial Intelligence (AI)-based protection. This paper compares and validates the difference between conventional (overcurrent differential) new strategy based on Neural Networks (ANNs), have been shown as protection, especially with reconfigurable grids. In addition, limitations of protections discussed. The AI employed through communication all Protective Devices (PDs) grid, backup employs among PDs same line. goes step further validate simulations MATLABTM platform experimental results scaled grid. AI-based method gave best solution it for different high accuracy faster response than without change settings. was designed advocate behavior experimentally both protections.