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Techno-economic optimization of hybrid photovoltaic/wind generation together with energy storage system in a stand-alone micro-grid subjected to demand response

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  • Amrollahi, Mohammad Hossein
  • Bathaee, Seyyed Mohammad Taghi

Abstract

Regarding the importance of supplying energy to regions that are far from power systems, this study is devoted to analyzing and modeling of a stand-alone micro-grid. In spite of many studies in the case of demand response programming for optimal management and operation cost reduction of the micro-grids, and regarding the importance of size optimization of micro-grids, this paper seeks to examine and investigate the ability of demand response programming in the case of component size optimization of a micro-grid. Due to deficiency or unavailability of dispatchable energy recourses, only the nondispatchable renewable energy resources (wind and solar energy) are considered to supply the required energy. Applied strategy for effective component size optimization as well as relevant costs reduction is implemented by reducing or eliminating the mismatch between the generation and consumption profiles by time shift and schedule of dispatchable loads. Furthermore, the effect of demand response utilization on loss of generated energy reduction is studied. The optimized results with and without demand response are extracted and compared to each other.

Suggested Citation

  • Amrollahi, Mohammad Hossein & Bathaee, Seyyed Mohammad Taghi, 2017. "Techno-economic optimization of hybrid photovoltaic/wind generation together with energy storage system in a stand-alone micro-grid subjected to demand response," Applied Energy, Elsevier, vol. 202(C), pages 66-77.
    • Handle: RePEc:eee:appene:v:202:y:2017:i:c:p:66-77
    DOI: 10.1016/j.apenergy.2017.05.116
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    1. Mazandarani, A. & Mahlia, T.M.I. & Chong, W.T. & Moghavvemi, M., 2010. "A review on the pattern of electricity generation and emission in Iran from 1967 to 2008," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(7), pages 1814-1829, September.
    2. Panayiotou, Gregoris & Kalogirou, Soteris & Tassou, Savvas, 2012. "Design and simulation of a PV and a PV–Wind standalone energy system to power a household application," Renewable Energy, Elsevier, vol. 37(1), pages 355-363.
    3. Heydari, Ali & Askarzadeh, Alireza, 2016. "Optimization of a biomass-based photovoltaic power plant for an off-grid application subject to loss of power supply probability concept," Applied Energy, Elsevier, vol. 165(C), pages 601-611.
    4. Kernan, R. & Liu, X. & McLoone, S. & Fox, B., 2017. "Demand side management of an urban water supply using wholesale electricity price," Applied Energy, Elsevier, vol. 189(C), pages 395-402.
    5. Salas, V. & Suponthana, W. & Salas, R.A., 2015. "Overview of the off-grid photovoltaic diesel batteries systems with AC loads," Applied Energy, Elsevier, vol. 157(C), pages 195-216.
    6. Petruschke, Philipp & Gasparovic, Goran & Voll, Philip & Krajačić, Goran & Duić, Neven & Bardow, André, 2014. "A hybrid approach for the efficient synthesis of renewable energy systems," Applied Energy, Elsevier, vol. 135(C), pages 625-633.
    7. Ogunjuyigbe, A.S.O. & Ayodele, T.R. & Akinola, O.A., 2016. "Optimal allocation and sizing of PV/Wind/Split-diesel/Battery hybrid energy system for minimizing life cycle cost, carbon emission and dump energy of remote residential building," Applied Energy, Elsevier, vol. 171(C), pages 153-171.
    8. Li, Xiao Hui & Hong, Seung Ho, 2014. "User-expected price-based demand response algorithm for a home-to-grid system," Energy, Elsevier, vol. 64(C), pages 437-449.
    9. Joung, Manho & Kim, Jinho, 2013. "Assessing demand response and smart metering impacts on long-term electricity market prices and system reliability," Applied Energy, Elsevier, vol. 101(C), pages 441-448.
    10. Bhandari, Binayak & Lee, Kyung-Tae & Lee, Caroline Sunyong & Song, Chul-Ki & Maskey, Ramesh K. & Ahn, Sung-Hoon, 2014. "A novel off-grid hybrid power system comprised of solar photovoltaic, wind, and hydro energy sources," Applied Energy, Elsevier, vol. 133(C), pages 236-242.
    11. Zakeri, Behnam & Syri, Sanna, 2015. "Electrical energy storage systems: A comparative life cycle cost analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 569-596.
    12. Mahesh, Aeidapu & Sandhu, Kanwarjit Singh, 2015. "Hybrid wind/photovoltaic energy system developments: Critical review and findings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1135-1147.
    13. Baghaee, H.R. & Mirsalim, M. & Gharehpetian, G.B. & Talebi, H.A., 2016. "Reliability/cost-based multi-objective Pareto optimal design of stand-alone wind/PV/FC generation microgrid system," Energy, Elsevier, vol. 115(P1), pages 1022-1041.
    14. Enevoldsen, Peter & Sovacool, Benjamin K., 2016. "Integrating power systems for remote island energy supply: Lessons from Mykines, Faroe Islands," Renewable Energy, Elsevier, vol. 85(C), pages 642-648.
    15. Fadaee, M. & Radzi, M.A.M., 2012. "Multi-objective optimization of a stand-alone hybrid renewable energy system by using evolutionary algorithms: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 3364-3369.
    16. Hosseinalizadeh, Ramin & Shakouri G, Hamed & Amalnick, Mohsen Sadegh & Taghipour, Peyman, 2016. "Economic sizing of a hybrid (PV–WT–FC) renewable energy system (HRES) for stand-alone usages by an optimization-simulation model: Case study of Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 139-150.
    17. Li, Bei & Roche, Robin & Miraoui, Abdellatif, 2017. "Microgrid sizing with combined evolutionary algorithm and MILP unit commitment," Applied Energy, Elsevier, vol. 188(C), pages 547-562.
    18. Deshmukh, Sachin S. & Boehm, Robert F., 2008. "Review of modeling details related to renewably powered hydrogen systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(9), pages 2301-2330, December.
    19. Kaabeche, A. & Belhamel, M. & Ibtiouen, R., 2011. "Sizing optimization of grid-independent hybrid photovoltaic/wind power generation system," Energy, Elsevier, vol. 36(2), pages 1214-1222.
    20. Erdinc, O. & Uzunoglu, M., 2012. "Optimum design of hybrid renewable energy systems: Overview of different approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(3), pages 1412-1425.
    21. Yin, Rongxin & Kara, Emre C. & Li, Yaping & DeForest, Nicholas & Wang, Ke & Yong, Taiyou & Stadler, Michael, 2016. "Quantifying flexibility of commercial and residential loads for demand response using setpoint changes," Applied Energy, Elsevier, vol. 177(C), pages 149-164.
    22. Broeer, Torsten & Fuller, Jason & Tuffner, Francis & Chassin, David & Djilali, Ned, 2014. "Modeling framework and validation of a smart grid and demand response system for wind power integration," Applied Energy, Elsevier, vol. 113(C), pages 199-207.
    23. Shen, Bo & Ghatikar, Girish & Lei, Zeng & Li, Jinkai & Wikler, Greg & Martin, Phil, 2014. "The role of regulatory reforms, market changes, and technology development to make demand response a viable resource in meeting energy challenges," Applied Energy, Elsevier, vol. 130(C), pages 814-823.
    24. Babonneau, Frédéric & Caramanis, Michael & Haurie, Alain, 2016. "A linear programming model for power distribution with demand response and variable renewable energy," Applied Energy, Elsevier, vol. 181(C), pages 83-95.
    25. Shang, Ce & Srinivasan, Dipti & Reindl, Thomas, 2016. "Generation-scheduling-coupled battery sizing of stand-alone hybrid power systems," Energy, Elsevier, vol. 114(C), pages 671-682.
    26. Behboodi, Sahand & Chassin, David P. & Djilali, Ned & Crawford, Curran, 2017. "Interconnection-wide hour-ahead scheduling in the presence of intermittent renewables and demand response: A surplus maximizing approach," Applied Energy, Elsevier, vol. 189(C), pages 336-351.
    27. Menke, Ruben & Abraham, Edo & Parpas, Panos & Stoianov, Ivan, 2016. "Demonstrating demand response from water distribution system through pump scheduling," Applied Energy, Elsevier, vol. 170(C), pages 377-387.
    28. Nolan, Sheila & O’Malley, Mark, 2015. "Challenges and barriers to demand response deployment and evaluation," Applied Energy, Elsevier, vol. 152(C), pages 1-10.
    29. Lan, Hai & Wen, Shuli & Hong, Ying-Yi & Yu, David C. & Zhang, Lijun, 2015. "Optimal sizing of hybrid PV/diesel/battery in ship power system," Applied Energy, Elsevier, vol. 158(C), pages 26-34.
    30. Wang, Ge & Zhang, Qi & Li, Hailong & McLellan, Benjamin C. & Chen, Siyuan & Li, Yan & Tian, Yulu, 2017. "Study on the promotion impact of demand response on distributed PV penetration by using non-cooperative game theoretical analysis," Applied Energy, Elsevier, vol. 185(P2), pages 1869-1878.
    31. Wang, Xiaonan & Palazoglu, Ahmet & El-Farra, Nael H., 2015. "Operational optimization and demand response of hybrid renewable energy systems," Applied Energy, Elsevier, vol. 143(C), pages 324-335.
    32. Kaldellis, J.K., 2008. "The wind potential impact on the maximum wind energy penetration in autonomous electrical grids," Renewable Energy, Elsevier, vol. 33(7), pages 1665-1677.
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