Improved Over-Current Coordination Using Artificial Intelligence In Benghazi MV-Distribution Network Case Study

Abstract

Sustaining both of the security and the reliability of modern distribution networks requires high performance of the protection system, the coordination of the protective Over Current Relays (OCRs) optimally plays a key role in the protection of the Distribution Network (DN) in terms of its operations and isolating the affected parts during faults. Many factors force operators to optimally coordinate OCRs such as increasing daily activities of consumers and interconnected systems. In the DN, calculations of the OCRs breakpoint and orderly enumeration of multiple loops are the most important requirements for the coordination of OCR scheme. Consequently, avoiding blackouts and electricity interruption of some feeders from the grid. In this paper, a detailed improved OCR coordination by a mean of an intelligent technique using Benghazi MV-Distribution Network as a case study. The Water Cycle Algorithm (WCA) has been applied as one of the optimization techniques for the Benghazi MV-distribution Network. For validation purposes, Particle Swarm Optimization (PSO) has been implemented to check the applicability of the proposed WCA. A coded WCA and PSO are used in MATLAB to attain the OCR settings, then Benghazi MV-Distribution Network has been utilized in ETAP package to evaluate the robustness of the proposed approach. The proposed approach exhibit improved relay coordination.