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A dynamic power management strategy of a grid connected hybrid generation system using wind, photovoltaic and Flywheel Energy Storage System in residential applications

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  • Boukettaya, Ghada
  • Krichen, Lotfi

Abstract

A global supervisory strategy for a micro-grid power generation system that comprises wind and photovoltaic generation subsystems, a flywheel storage system, and domestic loads connected both to the hybrid power generators and to the grid, is developed in this paper. The objectives of the supervisor control are, firstly, to satisfy in most cases the load power demand and, secondly, to check storage and grid constraints to prevent blackout, to reduce energy costs and greenhouse gas emissions, and to extend the life of the flywheel. For these purposes, the supervisor determines online the operation mode of the different generation subsystems, switching from maximum power conversion to power regulation. Decision criteria for the supervisor based on actual variables are presented. Finally, the performance of the supervisor is extensively assessed through computer simulation using a comprehensive nonlinear model of the studied system.

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  • Boukettaya, Ghada & Krichen, Lotfi, 2014. "A dynamic power management strategy of a grid connected hybrid generation system using wind, photovoltaic and Flywheel Energy Storage System in residential applications," Energy, Elsevier, vol. 71(C), pages 148-159.
  • Handle: RePEc:eee:energy:v:71:y:2014:i:c:p:148-159
    DOI: 10.1016/j.energy.2014.04.039
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    as
    1. Türkay, Belgin Emre & Telli, Ali Yasin, 2011. "Economic analysis of standalone and grid connected hybrid energy systems," Renewable Energy, Elsevier, vol. 36(7), pages 1931-1943.
    2. Yaşar, Celal & Özyön, Serdar, 2011. "A new hybrid approach for nonconvex economic dispatch problem with valve-point effect," Energy, Elsevier, vol. 36(10), pages 5838-5845.
    3. Blumsack, Seth & Fernandez, Alisha, 2012. "Ready or not, here comes the smart grid!," Energy, Elsevier, vol. 37(1), pages 61-68.
    4. Baziar, Aliasghar & Kavousi-Fard, Abdollah, 2013. "Considering uncertainty in the optimal energy management of renewable micro-grids including storage devices," Renewable Energy, Elsevier, vol. 59(C), pages 158-166.
    5. Doostizadeh, Meysam & Ghasemi, Hassan, 2012. "A day-ahead electricity pricing model based on smart metering and demand-side management," Energy, Elsevier, vol. 46(1), pages 221-230.
    6. Ippolito, M.G. & Di Silvestre, M.L. & Riva Sanseverino, E. & Zizzo, G. & Graditi, G., 2014. "Multi-objective optimized management of electrical energy storage systems in an islanded network with renewable energy sources under different design scenarios," Energy, Elsevier, vol. 64(C), pages 648-662.
    7. Ziogou, Chrysovalantou & Ipsakis, Dimitris & Seferlis, Panos & Bezergianni, Stella & Papadopoulou, Simira & Voutetakis, Spyros, 2013. "Optimal production of renewable hydrogen based on an efficient energy management strategy," Energy, Elsevier, vol. 55(C), pages 58-67.
    8. Billy Muhando, Endusa & Senjyu, Tomonobu & Urasaki, Naomitsu & Yona, Atsushi & Kinjo, Hiroshi & Funabashi, Toshihisa, 2007. "Gain scheduling control of variable speed WTG under widely varying turbulence loading," Renewable Energy, Elsevier, vol. 32(14), pages 2407-2423.
    9. Pina, André & Silva, Carlos & Ferrão, Paulo, 2012. "The impact of demand side management strategies in the penetration of renewable electricity," Energy, Elsevier, vol. 41(1), pages 128-137.
    10. Díaz-González, Francisco & Sumper, Andreas & Gomis-Bellmunt, Oriol & Bianchi, Fernando D., 2013. "Energy management of flywheel-based energy storage device for wind power smoothing," Applied Energy, Elsevier, vol. 110(C), pages 207-219.
    11. Kyriakarakos, George & Piromalis, Dimitrios D. & Dounis, Anastasios I. & Arvanitis, Konstantinos G. & Papadakis, George, 2013. "Intelligent demand side energy management system for autonomous polygeneration microgrids," Applied Energy, Elsevier, vol. 103(C), pages 39-51.
    12. Faria, P. & Vale, Z., 2011. "Demand response in electrical energy supply: An optimal real time pricing approach," Energy, Elsevier, vol. 36(8), pages 5374-5384.
    13. Daud, Abdel-Karim & Ismail, Mahmoud S., 2012. "Design of isolated hybrid systems minimizing costs and pollutant emissions," Renewable Energy, Elsevier, vol. 44(C), pages 215-224.
    14. Paiva, J.E. & Carvalho, A.S., 2013. "Controllable hybrid power system based on renewable energy sources for modern electrical grids," Renewable Energy, Elsevier, vol. 53(C), pages 271-279.
    15. Marzband, Mousa & Sumper, Andreas & Ruiz-Álvarez, Albert & Domínguez-García, José Luis & Tomoiagă, Bogdan, 2013. "Experimental evaluation of a real time energy management system for stand-alone microgrids in day-ahead markets," Applied Energy, Elsevier, vol. 106(C), pages 365-376.
    16. Yousefi, Shaghayegh & Moghaddam, Mohsen Parsa & Majd, Vahid Johari, 2011. "Optimal real time pricing in an agent-based retail market using a comprehensive demand response model," Energy, Elsevier, vol. 36(9), pages 5716-5727.
    17. Boukettaya, Ghada & Krichen, Lotfi & Ouali, Abderrazak, 2010. "A comparative study of three different sensorless vector control strategies for a Flywheel Energy Storage System," Energy, Elsevier, vol. 35(1), pages 132-139.
    18. Welsch, M. & Howells, M. & Bazilian, M. & DeCarolis, J.F. & Hermann, S. & Rogner, H.H., 2012. "Modelling elements of Smart Grids – Enhancing the OSeMOSYS (Open Source Energy Modelling System) code," Energy, Elsevier, vol. 46(1), pages 337-350.
    19. Mondol, Jayanta Deb & Yohanis, Yigzaw G & Norton, Brian, 2009. "Optimising the economic viability of grid-connected photovoltaic systems," Applied Energy, Elsevier, vol. 86(7-8), pages 985-999, July.
    20. Masmoudi, Abdelkarim & Abdelkafi, Achraf & Krichen, Lotfi, 2011. "Electric power generation based on variable speed wind turbine under load disturbance," Energy, Elsevier, vol. 36(8), pages 5016-5026.
    21. Lund, Henrik, 2010. "The implementation of renewable energy systems. Lessons learned from the Danish case," Energy, Elsevier, vol. 35(10), pages 4003-4009.
    22. Li, Chun-Hua & Zhu, Xin-Jian & Cao, Guang-Yi & Sui, Sheng & Hu, Ming-Ruo, 2009. "Dynamic modeling and sizing optimization of stand-alone photovoltaic power systems using hybrid energy storage technology," Renewable Energy, Elsevier, vol. 34(3), pages 815-826.
    23. Kuznetsova, Elizaveta & Li, Yan-Fu & Ruiz, Carlos & Zio, Enrico & Ault, Graham & Bell, Keith, 2013. "Reinforcement learning for microgrid energy management," Energy, Elsevier, vol. 59(C), pages 133-146.
    24. Lin, Whei-Min & Hong, Chih-Ming, 2010. "Intelligent approach to maximum power point tracking control strategy for variable-speed wind turbine generation system," Energy, Elsevier, vol. 35(6), pages 2440-2447.
    25. Alagoz, B.B. & Kaygusuz, A. & Karabiber, A., 2012. "A user-mode distributed energy management architecture for smart grid applications," Energy, Elsevier, vol. 44(1), pages 167-177.
    26. Balta-Ozkan, Nazmiye & Davidson, Rosemary & Bicket, Martha & Whitmarsh, Lorraine, 2013. "The development of smart homes market in the UK," Energy, Elsevier, vol. 60(C), pages 361-372.
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    3. Barelli, L. & Bidini, G. & Bonucci, F. & Castellini, L. & Fratini, A. & Gallorini, F. & Zuccari, A., 2019. "Flywheel hybridization to improve battery life in energy storage systems coupled to RES plants," Energy, Elsevier, vol. 173(C), pages 937-950.
    4. Mohamed El-Hendawi & Hossam A. Gabbar & Gaber El-Saady & El-Nobi A. Ibrahim, 2018. "Control and EMS of a Grid-Connected Microgrid with Economical Analysis," Energies, MDPI, vol. 11(1), pages 1-20, January.
    5. Arani, A.A. Khodadoost & Karami, H. & Gharehpetian, G.B. & Hejazi, M.S.A., 2017. "Review of Flywheel Energy Storage Systems structures and applications in power systems and microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 9-18.
    6. Linda Barelli & Gianni Bidini & Fabio Bonucci & Luca Castellini & Simone Castellini & Andrea Ottaviano & Dario Pelosi & Alberto Zuccari, 2018. "Dynamic Analysis of a Hybrid Energy Storage System (H-ESS) Coupled to a Photovoltaic (PV) Plant," Energies, MDPI, vol. 11(2), pages 1-23, February.
    7. Huang, Chung-Neng & Chen, Yui-Sung, 2017. "Design of magnetic flywheel control for performance improvement of fuel cells used in vehicles," Energy, Elsevier, vol. 118(C), pages 840-852.
    8. Shirazi, Elham & Jadid, Shahram, 2017. "Cost reduction and peak shaving through domestic load shifting and DERs," Energy, Elsevier, vol. 124(C), pages 146-159.
    9. Kondoh, Junji & Funamoto, Takuji & Nakanishi, Taisuke & Arai, Ryohei, 2018. "Energy characteristics of a fixed-speed flywheel energy storage system with direct grid-connection," Energy, Elsevier, vol. 165(PB), pages 701-708.
    10. Khemakhem, Siwar & Rekik, Mouna & Krichen, Lotfi, 2017. "A flexible control strategy of plug-in electric vehicles operating in seven modes for smoothing load power curves in smart grid," Energy, Elsevier, vol. 118(C), pages 197-208.
    11. Cheng, Yu-Shan & Chuang, Man-Tsai & Liu, Yi-Hua & Wang, Shun-Chung & Yang, Zong-Zhen, 2016. "A particle swarm optimization based power dispatch algorithm with roulette wheel re-distribution mechanism for equality constraint," Renewable Energy, Elsevier, vol. 88(C), pages 58-72.
    12. Elhoussin Elbouchikhi & Yassine Amirat & Gilles Feld & Mohamed Benbouzid & Zhibin Zhou, 2020. "A Lab-scale Flywheel Energy Storage System: Control Strategy and Domestic Applications," Energies, MDPI, vol. 13(3), pages 1-23, February.
    13. Abdul Ghani Olabi & Tabbi Wilberforce & Mohammad Ali Abdelkareem & Mohamad Ramadan, 2021. "Critical Review of Flywheel Energy Storage System," Energies, MDPI, vol. 14(8), pages 1-33, April.
    14. Mousavi G, S.M. & Faraji, Faramarz & Majazi, Abbas & Al-Haddad, Kamal, 2017. "A comprehensive review of Flywheel Energy Storage System technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 477-490.
    15. Shivarama Krishna, K. & Sathish Kumar, K., 2015. "A review on hybrid renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 907-916.

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