Abstract— A vital attribute of electrical power network is the continuity of service with a high level of reliability. This motivated many researchers to investigate power systems in an effort to improve reliability by focusing on fault detection and classification. The penetration of renewable energy resources in distribution power systems would affect the traditional fault current level and characteristics. Consequently, traditional protection arrangements developed in distribution utilities are difficult in coordination; and the reclosing scheme would be affected. With rapid developments in distribution system automation, the protection coordination and reclosing scheme based on information exchange for the distribution power system can be realized flexibly. In this paper, a new protective relaying framework to detect, classify and localize faults in an electrical power distribution system with a high level of penetration of renewable energy resources is presented. This work will extract fault unique signatures by using polarization ellipse. During the healthy condition, polarization will have a circular shape with radius equal the rated voltage of the system. However, during the fault condition, polarization will have an ellipse shape and the fault signature will be defined according to the ellipse parameters: major axis, minor axis, ellipticity and orientation angle. The least squares criterion will be used to define ellipse parameters. This system will identify, classify and localize any fault instantaneously.