Design of Wind-PV based Hybrid Standalone Energy Systems for Three Sites in Central India
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Abstract
The aim of this study is to design renewable energy based hybrid standalone systems to supply two rural and one urban sites of Madhya Pradesh state in India. These locations characterize different load profiles and wind and solar resources. The wind speed data measured at these sites and solar radiation data obtained from NASA are utilized to carry out the
analyses of these systems using HOMER Pro. These systems are designed to cater for domestic electricity demand of one rural site, domestic and agricultural demand of another rural site and residential load demand of staff quarters of an urban institution. The pattern of power consumption of the loads considered for these sites is suitably modelled and different combinations of hybrid systems are simulated to identify the optimal system based on least life cycle cost. Results show that the most economically feasible system to supply the load demand of the three sites is comprised of different combinations of renewable energy sources viz. only wind, wind- solar and only solar based systems. Each design also includes diesel generator back up and battery storage to ensure reliability of power supply and a converter to maintain the energy flow between ac and dc components.
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References
[2] Census of India: Available from www.censusindia.gov.in
[3] P. Paliwal, NP Patidar and RK. Nema, “Determination of reliability constrained optimal resource mix for an autonomous hybrid power system using particle swarm optimization, ” Renewable energy, vol 63, pp 194-204, 2014.
[4] S. Sanajaoba and E. Fernandez, “Maiden application of cuckoo search algorithm or optimal sizing of a remote hybrid renewable energy system,”Renewable energy, vol 96, pp 1-10, 2016.
[5] F. Fazelpour , M. Soltani and MA. Rosen, “Economic analysis of standalone hybrid energy systems for application in Tehran, Iran,” Interational J hydrogen. Energy, pages 1-12, 2016,Available https://dx.doi.org/10.1016/j.ijhydene.2016.01.113
[6] A. Fathy, “ A reliability methodology based on mine blast optimization algorithm for optimal sizing of hybrid PV-wind-FC system for remote area in Egypt,” Renewable energy, vol 95, pp 367-380,2016.
[7] VA. Ani Feasibility and optimal design of a stand-alone photovoltaic energy system for the orphanage. Hindawi J renewable energy, 2014; pages1-8, Available from https://dx.doi.org/10.1155/2014/379729
[8] AK. Kaviani, GH. Riahy and SM. Kouhsari, “Optimal design of a reliable hydrogen-based stand-alone wind/PV generating system, considering component outages,” Renewable energy, vol 34, pp 2380–2390, 2008.
[9] Z. Iverson, A. Achuthan, P, Marzocca et al, “Optimal design of hybrid renewable energy systems (HRES) using hydrogen storage technology for data center application.” Renewable energy, vol 52, pp 79-87, 2013.
[10] JK. Kaldellisa, K. Kavadiasa amd PS. Koronakisb , “Comparing wind and photovoltaic stand-alone power systems used for the electrification of remote consumers”. Renewable and sustainable energy reviews, vol 11, pp 57–77, 2007.
[11] YY. Hong and R. Chen Lian, “ Optimal sizing of hybrid wind/PV/diesel generation in a stand-alone power system using Markov-based genetic algorithm, ”. IEEE trans. power delivery, vol 27. pp 640-647, 2012.
[12] W. Zhou, C. Lou, Z. Li et al., “ Current status of research on optimum sizing of stand-alone hybrid solar–wind power generation systems,” Applied energy, vol 87, pp 380-389, 2012.
[13] S. Bhattacharjee and S. Acharya, “ Performative analysis of an eccentric solar–wind combined system for steady power yield,” Energy conversion and management, vol 108, pp 219-232, 2016/
[14] O. Ekren and BY Ekren, “ Size optimization of a PV/wind hybrid energy conversion system with battery storage using response surface methodology,” Applied energy, vol 85, pp 1086–1101, 2008.
[15] A. Safdarian, MF. Firuzabad and F. Aminifar, “Compromising wind and solar energies from the power system adequacy viewpoint,” IEEE trans. power systems, vol 27, pp 2368-2376, 2012.
[16] SK. Kar, A. Sharma and B. Roy, “Solar energy market developments in India,” Renewable and sustainable energy reviews, vol 62, pp 121-133, 2016.
[17] Report on task 4: Scale-up Plan for Grid Connected Renewable Energy Technologies, New and Renewable Energy Department, Government of Madhya Pradesh. June 10, 2014. Availablle from https://www.mpnred.com
[18] Deendayal Upadhyay gram jyoti yojana of government of India. Available from www.ddugjy.gov.in
[19] CWET-Centre for wind energy technology, India now known as National Institute of Wind Energy (NIWE). Available from www.niwe.res.in
[20] TBMJ. Ouarda, C. Charron, JY. Shin et al., “Probability distributions of wind speed in the UAE,” Energy conversion and management, vol 93, pp 414-434, 2015.
[21] J. Wang, J. Hu and K M, “Wind speed probability distribution estimation and wind energy assessment,” Renewable and sustainable energy Reviews, vol 60, pp 881-899, 2016.
[22] JA. Carta, P. Ramirez and V. Velazquez, “A review of wind speed probability distributions used in wind energy analysis case study in canary islands,” Renewable and sustainable energy reviews, vol 13, pp 933-955, 2013.
[23] V. Sohoni, SC. Gupta and RK Nema. “A comparative analysis of wind speed probability distributions for wind power assessment of four sites”. Turkish Journal of Electrical Engineering & Computer Sciences, vol 24, pp 4724-4735, 2016.
[24] C. Wang and H. Nehrir, “Power management of a stand-alone wind/photovoltaic/fuel cell energy system,” IEEE trans. energy conversions, vol 23, pp 957-967, 2008.
[25] DB. Nelson, H. Nehrir and C. Wang, “ Unit sizing and cost analysis of stand-alone hybrid wind/PV/fuel cell power generation systems. Renewable energy,vol 31, pp 1641-1656, 2006.
[26] SC. Gupta ,Y. Kumar and G Agnihotri, “ REAST: Renewable energy analysis and sizing tool” J electrical systsems, vol 7-2, pp 206-224, 2011.