A Multiagent Framework for Self-Healing Mechanisms Considering Priority-Based Load Shedding and Islanding with Distributed Generation in Smart Distribution Grids

This paper proposes a methodology based on multi-agent system (MAS) to self-healing with priority-based load shedding and islanding with distributed generation (GD) in smart distribution grids. The operational process of the proposed self-healing model is composed of four stages respectively. The multi-agent system aims to solve the problem of self-healing in distribution network systems. The model is implemented in the platform JADE and Matlab. Case studies using a system composed of two substations, and seventy-four feeders buses are used in order to test the method proposed in this work. The simulations presented in this paper include fault in particular branches of the distribution network, the analysis of the results in terms of voltage, losses, and switching actions as well as load shedding. The results show that the proposed model is satisfactory and shows the importance of having a self-healing system with priority-based load shedding and islanding with distributed generation.