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Resilience of standalone hybrid renewable energy systems: The role of storage capacity

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  • Kosai, Shoki
  • Cravioto, Jordi

Abstract

Evaluating the resilience of a power supply system after a sudden disturbance is essential in standalone hybrid renewable systems. Reliability assessments have strongly focused on the static condition during supply, opposite to the dynamic response to sudden disturbances, which is less studied in reliability literature. This study proposes a novel approach to analyze dynamic-response resilience from a sudden disturbance, focusing on the role of storage capacity of the standalone hybrid renewable system. Using a computer-based simulation, the magnitude, duration and instant of battery failure in the system is quantified and two indices to quantitatively measure resilience based on the three parameters are developed. Using these indices, it is discovered that the system resilience non-linearly declined with increasing trouble rate and trouble duration. The same tendency was observed for ten battery capacities analyzed. Also, larger storage capacity provided higher resilience as a general rule. However, battery capacities of 11,500, 12,500 and 14,500 Wh seem to equal or even slightly outperform the immediate larger type at the most critical duration and magnitude of failure. The developed algorithm presents one approach to clarify dynamic performance of the system and can be implemented in any system scale.

Suggested Citation

  • Kosai, Shoki & Cravioto, Jordi, 2020. "Resilience of standalone hybrid renewable energy systems: The role of storage capacity," Energy, Elsevier, vol. 196(C).
  • Handle: RePEc:eee:energy:v:196:y:2020:i:c:s0360544220302401
    DOI: 10.1016/j.energy.2020.117133
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    1. Rajanna, S. & Saini, R.P., 2016. "Modeling of integrated renewable energy system for electrification of a remote area in India," Renewable Energy, Elsevier, vol. 90(C), pages 175-187.
    2. Ayop, Razman & Isa, Normazlina Mat & Tan, Chee Wei, 2018. "Components sizing of photovoltaic stand-alone system based on loss of power supply probability," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2731-2743.
    3. Jakhrani, Abdul Qayoom & Othman, Al-Khalid & Rigit, Andrew Ragai Henry & Samo, Saleem Raza & Kamboh, Shakeel Ahmed, 2012. "A novel analytical model for optimal sizing of standalone photovoltaic systems," Energy, Elsevier, vol. 46(1), pages 675-682.
    4. Ramli, Makbul A.M. & Bouchekara, H.R.E.H. & Alghamdi, Abdulsalam S., 2018. "Optimal sizing of PV/wind/diesel hybrid microgrid system using multi-objective self-adaptive differential evolution algorithm," Renewable Energy, Elsevier, vol. 121(C), pages 400-411.
    5. Winzer, Christian, 2012. "Conceptualizing energy security," Energy Policy, Elsevier, vol. 46(C), pages 36-48.
    6. Ould Bilal, B. & Sambou, V. & Ndiaye, P.A. & Kébé, C.M.F. & Ndongo, M., 2010. "Optimal design of a hybrid solar–wind-battery system using the minimization of the annualized cost system and the minimization of the loss of power supply probability (LPSP)," Renewable Energy, Elsevier, vol. 35(10), pages 2388-2390.
    7. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    8. Chaudry, Modassar & Wu, Jianzhong & Jenkins, Nick, 2013. "A sequential Monte Carlo model of the combined GB gas and electricity network," Energy Policy, Elsevier, vol. 62(C), pages 473-483.
    9. Dufo-López, Rodolfo & Bernal-Agustín, José L. & Mendoza, Franklin, 2009. "Design and economical analysis of hybrid PV-wind systems connected to the grid for the intermittent production of hydrogen," Energy Policy, Elsevier, vol. 37(8), pages 3082-3095, August.
    10. Shoki Kosai & Chia Kwang Tan & Eiji Yamasue, 2018. "Evaluating Power Reliability Dedicated for Sudden Disruptions: Its Application to Determine Capacity on the Basis of Energy Security," Sustainability, MDPI, vol. 10(6), pages 1-18, June.
    11. Cadini, Francesco & Agliardi, Gian Luca & Zio, Enrico, 2017. "A modeling and simulation framework for the reliability/availability assessment of a power transmission grid subject to cascading failures under extreme weather conditions," Applied Energy, Elsevier, vol. 185(P1), pages 267-279.
    12. Jae-Hoon Cho & Myung-Geun Chun & Won-Pyo Hong, 2016. "Structure Optimization of Stand-Alone Renewable Power Systems Based on Multi Object Function," Energies, MDPI, vol. 9(8), pages 1-19, August.
    13. Cullinane, Kevin & Wang, Teng-Fei & Song, Dong-Wook & Ji, Ping, 2006. "The technical efficiency of container ports: Comparing data envelopment analysis and stochastic frontier analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(4), pages 354-374, May.
    14. Das, Barun K. & Al-Abdeli, Yasir M. & Kothapalli, Ganesh, 2017. "Optimisation of stand-alone hybrid energy systems supplemented by combustion-based prime movers," Applied Energy, Elsevier, vol. 196(C), pages 18-33.
    15. Roy, Anindita & Kedare, Shireesh B. & Bandyopadhyay, Santanu, 2010. "Optimum sizing of wind-battery systems incorporating resource uncertainty," Applied Energy, Elsevier, vol. 87(8), pages 2712-2727, August.
    16. Andy Stirling, 2014. "From Sustainability to Transformation: Dynamics and diversity in reflexive governance of vulnerability," SPRU Working Paper Series 2014-06, SPRU - Science Policy Research Unit, University of Sussex Business School.
    17. Skandalos, Nikolaos & Karamanis, Dimitris, 2015. "PV glazing technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 306-322.
    18. Kosai, Shoki & Unesaki, Hironobu, 2020. "Short-term vs long-term reliance: Development of a novel approach for diversity of fuels for electricity in energy security," Applied Energy, Elsevier, vol. 262(C).
    19. Chen, Hung-Cheng, 2013. "Optimum capacity determination of stand-alone hybrid generation system considering cost and reliability," Applied Energy, Elsevier, vol. 103(C), pages 155-164.
    20. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, January.
    21. Deng, S. & Wang, R.Z. & Dai, Y.J., 2014. "How to evaluate performance of net zero energy building – A literature research," Energy, Elsevier, vol. 71(C), pages 1-16.
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