Fault location and detection techniques in power distribution systems with distributed generation: Kenitra City (Morocco) as a case study

Abstract

Rapid detection and efficient diagnosis of power outages can improve reliability, stability, and energy quality. Fault diagnosis is based on fault detection, location, isolation, and quick power restoration. An efficient solution for fault diagnosis could be artificial intelligent-based multi-agent systems. This paper proposed a new approach based on the multi-agent system for fault location and autonomous power restoration in the power distribution system that contains distributed generation (DG). Effective fault detection, localization, and high protection are required to control systems from the blackout and configure them appropriately after an outage. This paper tests the proposed protection approach using an open ring feeder distribution system of Kenitra city, Morocco. In addition, the impact of DG integration on fault location and multiple faults is addressed in this paper, with suitable backup protection given via agent coordination.