SMART PERFORMANCE OF DISTRIBUTION SYSTEM MICRO-GRID FORMATION

Abstract

Micro-Grid (MG) with hybrid power resources can supply its electric loads independently. In case of surplus power, the neighborhood micro-grids can be integrated together in order to supply the overloaded micro-grid. The challenge is to select the most suitable, optimal and preferable micro-grid within a distributed network, which consists of islanded MGs, to form that integration. In this thesis, an intelligent decision-making criterion for optimal selection of micro-grid integration in case of overloaded event is presented. The intelligent decision making criterion is relying on the Weighted Arithmetic Mean (WAM) of different technical indices. The overloaded event may take place due to either unusual increase in consumed power or any deficiency in power generation. Overloading is expected due to excess increase or decrease in weather temperature. This may lead to extreme increase of load due to increase of air conditioning or heating loads respectively.