A new differential protection scheme for microgrid using Hilbert space based power setting and fuzzy decision processes

Nowadays, the use of a distributed generation (DG) has increased because of the benefits such as increased reliability, reduced losses, and improvement in the line capacity and less environmental pollution. The protection of microgrids, which consists of generation sources, it is one of the most crucial concerns of basic distribution operators. One of the key issues in this field is the protection of microgrids against permanent and temporary failures by improving safety and reliability of the network. The traditional method that was used has a number of disadvantages. The proposed protection scheme develops power differential protection (PDP) using the fuzzy rule approach for intelligent protection of microgrids. This paper proposes the development of a new algorithm to improve the differential protection performance by using fuzzy processes with Hilbert space based power theory (FHSP). The protection can be obtained in a novel way based on this theory. An advantage of this algorithm is that the protection system operates in less than two cycles after the occurrence of the fault. Another advantage is that the error detection is not dependent on the selection of threshold values, and all types of internal fault can identify and show that the algorithm operates correctly for all types of faults whilst preventing unwanted tripping, even if the data has been distorted by current transformer (CT) saturation or by data mismatches.