Economic Dispatch of the Microgrid with Electric Vehicles

Article Preview

Abstract:

Microgrids (MGs), which can operate either interconnected or isolated from the bulk grid as one controlled entity, are low voltage distribution networks comprising various distributed generators (DGs), storage devices and loads. This paper proposes a particle swarm optimization (PSO) method for solving the economic dispatch (ED) problem of a MG power system. Vehicles plugged into the MG can be used as mobile storage devices, which supply power to the MG system when the load is in the peak. The experimental results show that the plug-in electric vehicles (EVs) can improve the economic of the MG system.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 614-615)

Pages:

1876-1880

Citation:

Online since:

December 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] H. Jiayi, J. Chuanwen, Xu Rong: A review on distributed energy resources and microgrid. Renewable & Sustainable Energy Reviews. Vol.12 (2008), pp.2472-2483

DOI: 10.1016/j.rser.2007.06.004

Google Scholar

[2] P. Paolo, R.H. Lasseter: Microgrid: a conceptual solution. Power Electronics Specialists Conference. Vol.6 (2004), pp.4285-4290

Google Scholar

[3] Z.L. Gaing: Particle swarm optimization to solving the economic dispatch considering the generator constraints," IEEE Trans. Power Syst (2003). Vol.18, pp.1187-1195

DOI: 10.1109/tpwrs.2003.814889

Google Scholar

[4] R. Bhuvaneswari, C.S. Edrington, D.A. Cartes and S.Subramanian: Online economic environmental optimization of a Microgrid using an Improved Fast Evolutionary programming technique. North American Power Symposium (2009).

DOI: 10.1109/naps.2009.5484060

Google Scholar

[5] Faisal A. Mohamed, Heikki N. Koivo: System modeling and online optimal management of microgrid with battery storage. 6th International Conference on Renewable Energies and Power Quality (2007).

Google Scholar

[6] R. Lasseter: Dynamic models for micro-turbines and fuel cells. IEEE Power Engineering Society Summer Meeting (2001), Vol.2, pp.761-766

DOI: 10.1109/pess.2001.970143

Google Scholar

[7] Meiqin Mao, Shujuan Sun, Liuchen Chang: Economic Analysis of the Microgrid with multi-energy and Electric vehicles. 8th International Conference on Power Electronics and ECCE Asia (2011).

DOI: 10.1109/icpe.2011.5944505

Google Scholar

[8] G.H. Riahy, M. Abedi: Short term wind speed forecasting for wind turbine applications using linear prediction method. Renewable Energy. Vol.33(2008), pp.35-41

DOI: 10.1016/j.renene.2007.01.014

Google Scholar