چكيده به لاتين
Smart grid is centered on several objectives, yet one of the main goals is to increase the reliability of power systems, which is a vital factor in power system performance due to the dependence of today’s life on electricity. Therefore, one of the main salient features of SG is its ability of self-healing. This feature is defined as the capability to identify, diagnose and recover from system disruptions autonomously with the objective of maximizing system availability, survivability and reliability, which cause to move toward the smart grid. The research in this thesis tackled the problem of self-healing in smart distribution network by distributed control.
The Multi Agent Systems (MAS) are exploited to implement the distributed control. Moreover, a comprehensive structure to restore de-energized area after a permanent fault in smart distribution network considering factors such as load priorities, loads of various zones, distributed generations and related uncertainties, voltage and current constraints and maintaining radial topology of the network in addition to the effect of malfunction in protection system switches has been presented by MAS. Controlling agents can communicate to define switches status in order to reach the system goals while meeting constraints. The proposed method reduce the calculation time and burden by dividing tasks among agents and parallelizing processes.
Keywords: Self-Healing, Service Restoration, Multi Agent System, Distributed Control, Smart Distribution Network.