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Dynamic modeling of gravity energy storage coupled with a PV energy plant

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  • Berrada, Asmae
  • Loudiyi, Khalid
  • Garde, Raquel

Abstract

The growing interest in renewable energy systems has led to the development of energy storage to overcome their inherent intermittency. Currently, the most used storage technology for large scales systems is pumped hydro energy storage. This system is recognized for its economic viability in large scale applications. Another new alternative for large-scale energy storage is gravity storage system. The dynamic behavior of gravity storage including the mechanical machines and the hydraulic storage components is analyzed to gain insight into the performance of this system. An analytical model has been developed through interconnection of the different plant equipment models using Matlab/Simulink application. This paper details the operation modeling of a hybrid renewable energy system. The proposed model is able to simulate the interaction between the power plant, the storage system, and the electric grid. To evaluate the performance of the Simulink model, a simulation study is carried out on a large scale system.

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  • Berrada, Asmae & Loudiyi, Khalid & Garde, Raquel, 2017. "Dynamic modeling of gravity energy storage coupled with a PV energy plant," Energy, Elsevier, vol. 134(C), pages 323-335.
    • Handle: RePEc:eee:energy:v:134:y:2017:i:c:p:323-335
    DOI: 10.1016/j.energy.2017.06.029
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    1. Zhu, Jiahui & Qiu, Ming & Wei, Bin & Zhang, Hongjie & Lai, Xiaokang & Yuan, Weijia, 2013. "Design, dynamic simulation and construction of a hybrid HTS SMES (high-temperature superconducting magnetic energy storage systems) for Chinese power grid," Energy, Elsevier, vol. 51(C), pages 184-192.
    2. Aneke, Mathew & Wang, Meihong, 2016. "Energy storage technologies and real life applications – A state of the art review," Applied Energy, Elsevier, vol. 179(C), pages 350-377.
    3. Harish, V.S.K.V. & Kumar, Arun, 2016. "A review on modeling and simulation of building energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 1272-1292.
    4. 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.
    5. Wu, Jing & Tremeac, Brice & Terrier, Marie-France & Charni, Mehdi & Gagnière, Emilie & Couenne, Françoise & Hamroun, Boussad & Jallut, Christian, 2016. "Experimental investigation of the dynamic behavior of a large-scale refrigeration – PCM energy storage system. Validation of a complete model," Energy, Elsevier, vol. 116(P1), pages 32-42.
    6. Zhu, H. & Huang, W.W. & Huang, G.H., 2014. "Planning of regional energy systems: An inexact mixed-integer fractional programming model," Applied Energy, Elsevier, vol. 113(C), pages 500-514.
    7. Saadat, Mohsen & Shirazi, Farzad A. & Li, Perry Y., 2015. "Modeling and control of an open accumulator Compressed Air Energy Storage (CAES) system for wind turbines," Applied Energy, Elsevier, vol. 137(C), pages 603-616.
    8. Berrada, Asmae & Loudiyi, Khalid & Zorkani, Izeddine, 2016. "Valuation of energy storage in energy and regulation markets," Energy, Elsevier, vol. 115(P1), pages 1109-1118.
    9. Berrada, Asmae & Loudiyi, Khalid & Zorkani, Izeddine, 2017. "Profitability, risk, and financial modeling of energy storage in residential and large scale applications," Energy, Elsevier, vol. 119(C), pages 94-109.
    10. Yun Zeng & Yakun Guo & Lixiang Zhang & Tianmao Xu & Hongkui Dong, 2013. "Nonlinear hydro turbine model having a surge tank," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 19(1), pages 12-28.
    11. Ferreira, Helder Lopes & Garde, Raquel & Fulli, Gianluca & Kling, Wil & Lopes, Joao Pecas, 2013. "Characterisation of electrical energy storage technologies," Energy, Elsevier, vol. 53(C), pages 288-298.
    12. Arabkoohsar, A. & Andresen, G.B., 2017. "Dynamic energy, exergy and market modeling of a High Temperature Heat and Power Storage System," Energy, Elsevier, vol. 126(C), pages 430-443.
    13. Moura, Pedro S. & de Almeida, Aníbal T., 2010. "The role of demand-side management in the grid integration of wind power," Applied Energy, Elsevier, vol. 87(8), pages 2581-2588, August.
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    8. Buonomano, Annamaria & Calise, Francesco & d'Accadia, Massimo Dentice & Vicidomini, Maria, 2018. "A hybrid renewable system based on wind and solar energy coupled with an electrical storage: Dynamic simulation and economic assessment," Energy, Elsevier, vol. 155(C), pages 174-189.
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