Volume 5, Issue 1 (Journal of Control, V.5, N.1 Spring 2011)                   JoC 2011, 5(1): 38-49 | Back to browse issues page

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Abstract:   (12056 Views)
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.
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Type of Article: Research paper | Subject: Special
Received: 2014/06/16 | Accepted: 2014/06/16 | Published: 2014/06/16

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