Effect of Wind Turbine, Solar Cells and Storages in Short Term Operation of Coupled Electricity and Gas Infrastructures in Different Climates

Authors

1 Electrical Engineering Department, South Tehran Branch, Islamic Azad University, Tehran, Iran,

2 Electrical Engineering Department, Tarbiat Modares University, Tehran, Iran.

Abstract

The biggest challenges faced in big cities are greenhouse gas emission and growing energy needs. Efficient utilization of existing infrastructures has a prominent role in response to the challenges. Energy hub approach embraces performance of different energy networks. Energy hub is defined as a super node in electrical system receiving distinctive energy carriers such as gas and electricity in its input, and based on minimum cost decides when and how much of which energy carrier should supply the hub requirements. In this paper, we examine impact of renewable energy resources (wind and solar) and energy storages (electrical and thermal storages) on short term scheduling of energy hub. Effect of the technologies is also investigated on total operation costs of the energy hub in hot and cold climates. Mixed Integer Linear Programming (MILP) model is used for modeling proposed energy hub. CPLEX solver of GAMS software is employed to solve the problem. The results reveal that when and how much of which energy carrier should be exploited to satisfy hub required demands

Keywords


[1]
M. Geidl, G. Koeppel, P. Favre-Perrod, B. Klockl, G. Andersson, K. Frohlich, “Energy hubs for the future”, IEEE Trans. Power and Energy Magazine, Vol.5, No.1, pp.24-30, 2007.
[2]
M.Geidl, “Integrated modeling and optimization of multi-carrier energy systems”, PhD Thesis, ETH Zurich, 2007.
[3]
M. Geidl, G. Andersson, “Optimal power flow of multiple energy carriers”, IEEE Trans. Power Systems, Vol.22, No.1, pp.145-155, 2007.
[4]
L. Carradore and F. Bignucolo, “Distributed multi-generation and application of the energy hub concept in future networks”, in Proc. IEEE Universities Power Engineering (UPEC) Conf., pp.1-5, 2008.
[5]
L. Forbes, S. J. Galloway, G. W. Ault, “An approach for modellling a decentralized energy”, in Proc. IEEE Universities Power Engineering (UPEC) Conf., pp.1-5, 2010.
[6]
M. Arnold, G. Andersson, “Modeling and optimization of renewable; applying the energy hub approach”, in Proc. IEEE Power and Energy Society General Meeting Conf., pp.1-8.
[7]
M. Schuzle, L. Friedrich, M. Gautschi, “ Modeling and optimization of renewable: applying the energy hub approach”, in Proc. IEEE Sustainable Energy Technology Conf., pp. 83-88, 2008.
[8]
M. Geidl, G. Andersson, “Optimal coupling of energy infrastructure”, in Proc. IEEE Power Tech Conf., pp.1398-1403, 2007.
[9]
A. Parisio, C. D. Vecchio, and A. Vaccaro, "A robust optimization to energy hub management,” Elsevier, International Journal of Electrical Power and Energy Systems, Vol.42, pp.98-104, 2012.
[10]
M. D. Galus, R. La. Fauci, G. Andersson, “ Investigating PHEV wind balancing capabilities using heuristics and model predictive control”, in IEEE Power and Energy Society General Meeting Conf, pp.1-8, 2010.
[11]
M. D. Galus, G. Andersson, “Power system considerations of plug-in hybrid electric vehicles based on a multi energy carrier model”, in Proc. IEEE Power and Energy Society General Meeting Conf., pp.1-8, 2009.
[12]
A. Sheikhi, A. M. Ranjbar, and H. Oraee, “Financial analysis and optimal size and operation for a multi carrier energy systems”, Elsevier. Energy and Builduing, Vol.48, pp.71-78, 2012.
[13]
S. Pazouki, M.R. Haghifam, “Market based short term scheduling in energy hub in presence of responsive loads and renewable resources”, in Proc, 2013, IEEE CIRED, in press.
[14]
S. Pazouki and M.-R. Haghifam, “Market based operation of a hybrid system including wind turbine, solar cells, storage device and interruptable load”, in Proc, IEEE Electrical Power Distribution Networks (EPDC), pp.1-7, 2013.