TY - JOUR JF - joc-isice JO - JoC VL - 5 IS - 1 PY - 2011 Y1 - 2011/6/01 TI - Optimal Active and Reactive Power Sharing between several Distributed Generation Units in a Stand-Alone MicroGrid Using Artificial Neural Network TT - تقسیم بهینه توان اکتیو و راکتیو بین چند منبع تولید پراکنده در یک شبکه مستقل با شبکه عصبی مصنوعی N2 - This paper is concerned with the generation control in small stand-alone MicroGrids consisting of inverter interfaced Distributed Generation (DG) units. An intelligent and on-line Microgrid Management System (MGMS) using Artificial Neural Network (ANN) controller is used in this study and it determines the amount of power produced from generation units in a stand-alone MicroGrid. The ANN trained with a data generated from a Genetic Algorithm (GA) solved optimal power flow problem, which defines generation unit’s power in order to have a minimum power loss in the system, considering normal buses voltage and rating of generation units. Simulation results in a typical distribution system consisting two DG units show that the proposed method can meet the requirements of the system and DG units rating in stand-alone operations. In this way the system is managed in an on-line, optimal, and reliable situation that guarantee the continuity of power to loads in stand-alone mode of a MicroGrid. SP - 38 EP - 49 AU - Ghadimi, Ali asghar AU - Rastegar, hasan AU - Razavi, Farzad AD - KW - MicroGrid KW - State Estimation KW - Genetic Algorithm KW - Artificial Neural Network KW - Load Sharing KW - Distributed Generation UR - http://joc.kntu.ac.ir/article-1-94-en.html ER -