DocumentCode :
135232
Title :
Optimal operation of energy resources in a micro-grid
Author :
Zuniga-Neria, Guillermo C. ; Ornelas-Tellez, Fernando ; Rico, J. Jesus ; Sanchez, Edgar N.
Author_Institution :
Univ. Michoacana de San Nicolas de Hidalgo, Morelia, Mexico
fYear :
2014
fDate :
11-14 March 2014
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents the development of a dynamic optimization model to manage the generated energy in a micro-grid. The micro-grid consists of the following components: a wind energy system, an energy storage element, a load, and the interconnection to the utility grid. The optimization scheme considers the minimization of the associated cost due to the purchase of energy from the utility grid and simultaneously maximizing the profits associated with the sale of the generated energy to the utility grid. The optimization model considers the dynamics of charge and discharge of the storage element, energy prices and forecasting for wind energy, buying and selling prices and load demand energy, such that an efficient use of energy generated in the micro-grid can be achieved. It is important to include the dynamics of the storage element for the development of the optimization model, since it allow us to store or extract energy in accordance of the micro-grid requirements to maximize the profits. The proposed optimization model serves as an automated mechanism to manage the energy in a micro-grid, which decides the amount of energy to be sent or extracted from the utility grid and to the storage element while supplying the local demand with minimum cost.
Keywords :
distributed power generation; energy storage; load forecasting; load management; optimisation; wind power; dynamic optimization model; energy prices; energy resources; energy storage element; load demand energy; microgrid; optimization scheme; utility grid; wind energy forecasting; wind energy system; Energy storage; Object oriented modeling; Optimization; Predictive models; Time series analysis; Wind energy; Wind forecasting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Systems Conference (PSC), 2014 Clemson University
Conference_Location :
Clemson, SC
Type :
conf
DOI :
10.1109/PSC.2014.6808124
Filename :
6808124
Link To Document :
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