DOI: https://doi.org/10.20998/2074-272X.2018.5.10
PLANNING OF ENERGY CARRIERS BASED ON FINAL ENERGY CONSUMPTION USING DYNAMIC PROGRAMMING AND PARTICLE SWARM OPTIMIZATION
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1. Krause T., Andersson G., Fröhlich K., Vaccaro A. Multiple-Energy Carriers: Modeling of Production, Delivery, and Consumption. Proceedings of the IEEE, 2011, vol.99, no.1, pp. 15-27. doi: 10.1109/jproc.2010.2083610.
2. Cormio C., Dicorato M., Minoia A., Trovato M. A regional energy planning methodology including renewable energy sources and environmental constraints. Renewable and Sustainable Energy Reviews, 2003, vol.7, no.2, pp. 99-130. doi: 10.1016/s1364-0321(03)00004-2.
3. Barbir F. Transition to renewable energy systems with hydrogen as an energy carrier. Energy, 2009, vol.34, no.3, pp. 308-312. doi: 10.1016/j.energy.2008.07.007.
4. Amoo L.M., Fagbenle R.L. An integrated impact assessment of hydrogen as a future energy carrier in Nigeria's transportation, energy and power sectors. International Journal of Hydrogen Energy, 2014, vol.39, no.24, pp. 12409-12433. doi: 10.1016/j.ijhydene.2014.06.022.
5. Ridjan I., Mathiesen B.V., Connolly D., Duić N. The feasibility of synthetic fuels in renewable energy systems. Energy, 2013, vol.57, pp. 76-84. doi: 10.1016/j.energy.2013.01.046.
6. Su W., Wang J., Roh J. Stochastic Energy Scheduling in Microgrids With Intermittent Renewable Energy Resources. IEEE Transactions on Smart Grid, 2014, vol.5, no.4, pp. 1876-1883. doi: 10.1109/tsg.2013.2280645.
7. Geng W., Ming Z., Lilin P., Ximei L., Bo L., Jinhui D. China׳s new energy development: Status, constraints and reforms. Renewable and Sustainable Energy Reviews, 2016, vol.53, pp. 885-896. doi: 10.1016/j.rser.2015.09.054.
8. Trop P., Goricanec D. Comparisons between energy carriers' productions for exploiting renewable energy sources. Energy, 2016, vol.108, pp. 155-161. doi: 10.1016/j.energy.2015.07.033.
9. Belier M. E.A.C.a.K.C.H. Interfuel substitution study-the role of electrification. Brookhaven National Laboratory informal Rept. BNL 19522 (ESAG-17), November, 1974.
10. Kennedy J., Eberhart R. Particle swarm optimization. Proceeding of the 1995 IEEE International Conference on Neural Networks,Perth,Australia.IEEEServiceCenter,Piscataway, 1995. pp. 1942-1948.
11. Available at: http://www.saba.org.ir/saba_content/media/image/2015/09/7811_orig.pdf (accessed 16 April 2016).
12. Ebrahimi J., Hosseinian S.H., Gharehpetian G.B. Unit Commitment Problem Solution Using Shuffled Frog Leaping Algorithm. IEEE Transactions on Power Systems,2011, vol.26, no.2, pp. 573-581. doi: 10.1109/tpwrs.2010.2052639.
13. Dehghani M., Montazeri Z., Dehghani A., Seifi A.R. Spring search algorithm: A new meta-heuristic optimization algorithm inspired by Hooke's law. 2017 IEEE 4th International Conference on Knowledge-Based Engineering and Innovation (KBEI). doi: 10.1109/kbei.2017.8324975.
14. Wood A.J., Wollenberg B.F. Power generation, operation, and control. John Wiley & Sons, 2012.
15. IEA Publications, rue dela Fédération, 75739 Paris Cedex 15, Printed in France by STEDI, September 2004.
16. U.S. Energy Information Administration (EIA). Available at: http://www.eia.gov (accessed 21 July 2015).
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