Abstarct: Abstract The occurrence of islanding is one of the important challenges in power networks in the presence of scattered productions, which is considered an undesirable incident due to the possibility of damage to operators, network equipment and consumers. Therefore, it is necessary to quickly identify the island and disconnect the local production units from the network. In this thesis, a new and simple islanding detection method of the passive type is presented using local parameters extraction, which is useful for different types of scattered productions, including solar, wind and synchronous generators in different operating conditions. Another advantage of this method is that there is no need for complex calculations and other additional devices and equipment. This method uses momentary drop control and has an adaptive threshold limit that can have a different value in different network conditions. In this method, the instantaneous value of df/dt is first used to start the detection process, after the df/dt value passes its threshold, the observation window starts working. In the viewing window, the adaptive threshold limit is determined in two cycles. After two cycles, the detection window is opened and checked by obtaining the momentary drop characteristic value and comparing it with the island occurrence threshold limit. The main feature of the method is the use of the dynamic index, which has the ability to be used in all types of power plants and powers. The proposed method has been investigated in various other conditions such as load changes, capacitor switching, motor start-up and short circuit and has been able to distinguish these events from the island. The simulations were carried out in two medium pressure networks, Cigre and 34 IEEE buses, using Digsilent software, and the obtained results show the high detection of this method in a short period of time.