Page 269 - Hybrid-Renewable Energy Systems in Microgrids
P. 269
246 Hybrid-Renewable Energy Systems in Microgrids
[85] Koutroulis, E., et al., 2006. Methodology for optimal sizing of stand-alone photovoltaic/
wind-generator systems using genetic algorithms. Sol. Energy 80 (9), 1072–1088.
[86] Kennedy, J., 2011. Particle swarm optimization. Encyclopedia of Machine Learning.
Springer, US, pp. 760–766.
[87] S. Dehghan, et al., Optimal sizing of a hydrogen-based wind/PV plant considering reli-
ability indices, Electric Power and Energy Conversion Systems, 2009, EPECS’09, Inter-
national Conference on IEEE, 2009.
[88] Wang, L., Singh, C., 2009. Multicriteria design of hybrid power generation systems based
on a modified particle swarm optimization algorithm. IEEE Trans. Energy Convers. 24
(1), 163–172.
[89] Upadhyay, S., Sharma, M.P., 2014. A review on configurations, control and sizing meth-
odologies of hybrid energy systems. Renew. Sustain. Energy Rev. 38, 47–63.
[90] Chauhan, A., Saini, R.P., 2014. A review on integrated renewable energy system based
power generation for stand-alone applications: configurations, storage options, sizing
methodologies and control. Renew. Sustain. Energy Rev. 38, 99–120.
[91] Erdinc, O., Uzunoglu, M., 2012. Optimum design of hybrid renewable energy systems:
overview of different approaches. Renew. Sustain. Energy Rev. 16 (3), 1412–1425.
[92] Amer, M., Namaane, A., M’sirdi, N.K., 2013. Optimization of hybrid renewable energy
systems (HRES) using PSO for cost reduction. Energy Procedia 42, 318–327.
[93] Al Busaidi, A.S., et al., 2016. A review of optimum sizing of hybrid PV–wind renewable
energy systems in oman. Renew. Sustain. Energy Rev. 53, 185–193.
[94] Markvart, T., 1996. Sizing of hybrid photovoltaic-wind energy systems. Sol. Energy 57
(4), 277–281.
[95] Collette, Y., Siarry, P., 2013. Multiobjective Optimization: Principles and Case Studies.
Springer Science & Business Media.
[96] Muselli, M., Notton, G., Poggi, P., Louche, A., 2000. PV-hybrid power systems sizing
incorporating battery storage: an analysis via simulation calculations. Renew. Energy 20
(1), 1–7.
[97] Pelet, X., Favrat, D., Leyland, G., 2005. Multiobjective optimisation of integrated en-
ergy systems for remote communities considering economics and CO2 emissions. Int. J.
Therm. Sci. 44 (12), 1180–1189.
[98] Dufo-López, R., Bernal-Agustín, J.L., 2008. Multi-objective design of PV–wind–diesel–
hydrogen–battery systems. Renew. Energy 33 (12), 2559–2572.
[99] M.A., Hassas, K. Pourhossein, V.T. Azad, A Comprehensive Review Of Optimal Sizing
Methods For Hybrid Renewable Energy Systems.
[100] Arnette, A., Zobel, C.W., 2012. An optimization model for regional renewable energy
development. Renew. Sustain. Energy Rev. 16 (7), 4606–4615.
[101] National Renewable Energy Laboratory, HOMER, Getting Started Guide Version, 2.1,
NREL, 2005
[102] Khan, M.J., Iqbal, M.T., 2005. Pre-feasibility study of stand-alone hybrid energy systems
for applications in Newfoundland. Renew. Energy 30 (6), 835–854.
[103] Zoulias, E.I., Lymberopoulos, N., 2007. Techno-economic analysis of the integration of
hydrogen energy technologies in renewable energy-based stand-alone power systems.
Renew. Energy 32 (4), 680–696.
[104] Lambert, T., 2006. Micropower system modeling with homer. In: Farret, Felix A., Godoy
Simoes, M. (Eds.), Integration of Alternative Sources of Energy.
[105] Start – Ihoga Software, Ihoga Software, 2017. Available from: https://ihoga-software.
com/en/.