Increasing Adaptive Protection Efficiency in Electricity Distribution Network with Distributed Generation Sources (DG) Using Neural Network

In the power grid, there are many changes, such as input and output lines, production resources, loads, etc. If we are to have optimal protection, we must monitor all the parameters that affect the performance of the protection system and change the protection system by changing these parameters. It did. Changing loads and outputs, including changing loads and changing feeder feeds, and changing network topologies are among the problems that change the parameters of the power grid for the protection system, which necessitates greater adaptive protection. This article first introduces an introduction to comparative protection. Then the necessity and application of adaptive protection is expressed. It then introduces the core components and adaptive protection infrastructure that includes hardware and software. The next section presents the proposed adaptive protection plan which includes measurement, off-line calculations and data storage, error detection and its type on-line, neural network used, how to detect the type of error and fault separation and network recovery. It has been explained. The conclusion is drawn at the end.

Keywords:

Neural Network , Adaptive Protection , Distribution Network , Distributed Generating