Cinar, MehmetKaygusuz, Asim2024-08-042024-08-042018978-1-5386-6878-8https://hdl.handle.net/11616/103807International Conference on Artificial Intelligence and Data Processing (IDAP) -- SEP 28-30, 2018 -- Inonu Univ, Malatya, TURKEYThe electrical networks used today are based on Tesla's design principles in 1883. Over time, owing to the fast progress of technology, it has become unable to meet today's needs. The concept of smart grid has been introduced especially since the year 2000 to remove this problem. The smart grid is the network system that is achieved by integrating today's technologies into the electric power networks. Smart grids that can provide real-time bi-directional information-exchange at all stages from generation to consumption of electricity; enabling energy to be used in a sustainable, safe and highly efficient energy network. The main objective of smart grid is; By providing a smooth integration of renewable energy sources into the system, the system is able to self-heal itself in the shortest possible time by using energy efficiently and reducing the downtime and the areas that can be affected at the time of the interruption to a minimum. In particular, there are basic optimization algoritms used in the literature for self healing of smart grids. In this study; the algoritms used for self-healing of smart grids will be mentioned.trinfo:eu-repo/semantics/closedAccessSmart gridsself-healingoptimization algoritmsConference ObjectWOS:000458717400112N/A