Automatic fault isolation and restoration of distribution system using JADE based Multi-Agents

Abstract

This paper proposes a solution for automatic service restoration along with automatic fault location and isolation of the faulty sections in feeder in a power distribution system. A Java agent development environment-based multiagent system (MAS) is proposed to solve the problem of automatic service restoration in smart grid distribution systems. The agent-based solution development is discussed in detail and the MAS application to solve power restoration problem is elaborated in this paper. A study is done on a modified IEEE 33 bus system and the solution is implemented in the Velachery substation of the Tamilnadu electricity board. The results prove that fast and effective fault location, isolation and service restoration is achieved using the proposed solution.

A Multi-Agent Approach for Self-Healing and RES-Penetration in Smart Distribution Networks

“…where N bus is the bus number, L i is the load at the i th bus, y i is the status of the load at OK keep it italic the i th bus (i.e., 1 for the restored load and 0 for the unrestored one), and W i is the priority or importance level of the load at the i th bus. Objective 2: Minimizing the number of switching operations to reduce both the time and the operational cost required for the restoration process [21].…”

“…MAS has been studied to fulfill distribution systems' needs for fault diagnosis and service restoration and monitoring as introduced in related work in the literature [4,[14][15][16][17][18][19][20][21][22][23]. In [18], the MAS design includes two main agents: a bus agent and a facilitator agent.…”

“…In both studies, fault identification and service restoration were achieved; however, a large number of agents were employed, i.e., an agent for each bus in [18], while an agent for each switch in [19], thus increasing the restoration time. In [20][21][22], efficient MAS-based self-healing approaches were proposed. A belief-desire-intention (BDI)-based MAS is proposed in [20], where the BDI mental architecture is adopted for restoration in distribution systems.…”

“…A belief-desire-intention (BDI)-based MAS is proposed in [20], where the BDI mental architecture is adopted for restoration in distribution systems. In [21], an automatic fault isolation and restoration solution for distribution systems, using JADE-based multi-agents, is introduced, while in [22], a complete MAS design was carried out in which Q-learning was used to restore the faulted zones. A strategic plan for energy restoration is proposed in [23], aiming at maximizing the number of loads restored through switching.…”

“…A strategic plan for energy restoration is proposed in [23], aiming at maximizing the number of loads restored through switching. All approaches in [18][19][20][21][22][23] succeeded in achieving self-healing purposes, i.e., fault locating, isolation, and efficient service restoration. However, none of these studies considered the effect of DG penetration in smart grids, which is an essential capability for maintaining a secure power supply [24,25].…”