Integrated Multistage Self-Healing in Smart Distribution Grids Using Decentralized Multiagent

Abstract

Smart self-healing is perceived as a new alternative to ensure reliability and quality of power supply with the development of intelligent communication and control technology. On the basis of multistage characteristics of self-healing control, this article proposes an integrated multistage self-healing strategy for smart distribution systems using multiagent system (MAS), in which the complex self-healing problem is decomposed into phased sub-problems and is addressed by a unified control framework composed of different algorithms of stages. In the proposed control framework, decision-making agents vary with fault points and transition between self-healing stages making the technique fully decentralized. Stressing on the coordination between stage algorithms composed of communication self-adaption, fault tolerance, fault location and isolation, service restoration and state regression, the proposed strategy features well real-time control performance and relatively complete self-healing functions. Comprehensive simulation studies are carried out on the 84-bus and 22-bus distribution systems using MATLAB and JADE and the self-healing test platform respectively, and the test results have shown the effectiveness of the proposed strategy.

Balancing Decentralization for Restoration in Power Distribution Systems With Agents

“…A MAS architecture is applied to isolate the fault, shed or restore loads and to change the system topology. A fully decentralized MAS has been presented in [5] for self-healing control, where an integrated multistage strategy is addressed with decision-making agents and tasks which change dynamically according to stages as, for example, when there is a transition from the normal to the abnormal communication stage. Some works implement their MAS using JADE (Java Agent DEvelopment framework) as a mean to test their approaches.…”

“…This process requires a coordination between the actions of the agents. All agents affected by the fault have to finish step (1) before starting step (3) and similarly for step (5). Some distributed synchronization is thus required.…”