An Intelligent Management of A Microgrid in Grid-Connected and Islanded Modes Employing (Mas) Procedure With Fuzzy

Abstract

This paper presents an intelligent control of a microgrid in both grid-connected and islanded modes using the multiagent system (MAS) technique. This intelligent control consists of three levels. The first level is based on local droop control, the second level compensates power balance between the supply and the demand optimally, and the third level is at the system level based on electricity market. An intelligent MAS was developed and implemented based on foundation for intelligent physical agents standards by representing each major autonomous component in the microgrid as an intelligent software agent. The agents interact with each other for making their own decisions locally and optimally. The coordination among the agents ensures power quality, voltage, and frequency of the microgrid by determining the set points that optimize the overall operation of the microgrid. The proposed control architecture and strategies for the real-time control of microgrids were analyzed in detail, and tested under various load conditions and different network configurations. In extension we proposed fuzzy controller .It is a real time controller or advanced controller for removing the harmonics and it give high accuracy.