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Economic trends and comparisons for optimizing grid-outage resilient photovoltaic and battery systems

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  • Tsianikas, Stamatis
  • Zhou, Jian
  • Birnie, Dunbar P.
  • Coit, David W.

Abstract

This paper investigates the trade-off between two critical factors that influence, or even dictate, the rate of adoption of battery systems used to support photovoltaic arrays. The value of lost load and battery price greatly influence the island mode generation capability and the economic viability of photovoltaic + battery systems to provide energy resilience during grid outages. Photovoltaic array systems combined with battery storage are increasingly important to assure reliable and resilient power supply. It has been found that the configuration of photovoltaic + battery systems, which determines their capability of operating in island mode in response to grid outages, is impacted by multiple factors. Recent industry reports and research work have highlighted the critical role that energy storage systems will have in the coming future in the electricity sector, especially when combined with renewable energy systems. The fact that forecasts predict a sharp decline in battery price not only strengthens this role but also makes the need for extensive research in this area more important. A simulation-based optimization method is developed to investigate the effects of value of lost load and battery price on the balance between total system cost and system islanding resilience to meet customer demand during a grid outage. According to actual solar irradiation data and the load profile of a hospital, a case study is conducted in which evaluation metrics are computed and compared from both resilience and economical aspects. The underlying relationship between the changes and uncertainty of value of lost load and battery price are explored by comparing the optimal total system cost under two distinct scenarios. The results provide us with guidance and insights regarding the impact of cost-related factors on photovoltaic + battery system design to make them grid-outage resilient and economically viable. Moreover, this work illustrates the positive effect that the anticipated decline in battery price will have in enhancing the resilience and effectiveness of renewable energy systems combined with energy storage.

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  • Tsianikas, Stamatis & Zhou, Jian & Birnie, Dunbar P. & Coit, David W., 2019. "Economic trends and comparisons for optimizing grid-outage resilient photovoltaic and battery systems," Applied Energy, Elsevier, vol. 256(C).
  • Handle: RePEc:eee:appene:v:256:y:2019:i:c:s030626191931579x
    DOI: 10.1016/j.apenergy.2019.113892
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    as
    1. Nordin, Nur Dalilah & Abdul Rahman, Hasimah, 2016. "A novel optimization method for designing stand alone photovoltaic system," Renewable Energy, Elsevier, vol. 89(C), pages 706-715.
    2. Shen, W.X., 2009. "Optimally sizing of solar array and battery in a standalone photovoltaic system in Malaysia," Renewable Energy, Elsevier, vol. 34(1), pages 348-352.
    3. Zhou, Jian & Huang, Ning & Coit, David W. & Felder, Frank A., 2018. "Combined effects of load dynamics and dependence clusters on cascading failures in network systems," Reliability Engineering and System Safety, Elsevier, vol. 170(C), pages 116-126.
    4. Prehoda, Emily W. & Schelly, Chelsea & Pearce, Joshua M., 2017. "U.S. strategic solar photovoltaic-powered microgrid deployment for enhanced national security," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 167-175.
    5. Roberts, Mike B. & Bruce, Anna & MacGill, Iain, 2019. "Impact of shared battery energy storage systems on photovoltaic self-consumption and electricity bills in apartment buildings," Applied Energy, Elsevier, vol. 245(C), pages 78-95.
    6. 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.
    7. Diaf, S. & Diaf, D. & Belhamel, M. & Haddadi, M. & Louche, A., 2007. "A methodology for optimal sizing of autonomous hybrid PV/wind system," Energy Policy, Elsevier, vol. 35(11), pages 5708-5718, November.
    8. V. Rosato & L. Issacharoff & F. Tiriticco & S. Meloni & S. De Porcellinis & R. Setola, 2008. "Modelling interdependent infrastructures using interacting dynamical models," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 4(1/2), pages 63-79.
    9. Tan, Chee Wei & Green, Tim C. & Hernandez-Aramburo, Carlos A., 2010. "A stochastic method for battery sizing with uninterruptible-power and demand shift capabilities in PV (photovoltaic) systems," Energy, Elsevier, vol. 35(12), pages 5082-5092.
    10. Mahmud, Nasif & Zahedi, A., 2016. "Review of control strategies for voltage regulation of the smart distribution network with high penetration of renewable distributed generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 582-595.
    11. Ryusuke Konishi & Masaki Takahashi, 2017. "Optimal Allocation of Photovoltaic Systems and Energy Storage Systems based on Vulnerability Analysis," Energies, MDPI, vol. 10(10), pages 1-20, September.
    12. Zhou, Jian & Tsianikas, Stamatis & Birnie, Dunbar P. & Coit, David W., 2019. "Economic and resilience benefit analysis of incorporating battery storage to photovoltaic array generation," Renewable Energy, Elsevier, vol. 135(C), pages 652-662.
    13. Merei, Ghada & Moshövel, Janina & Magnor, Dirk & Sauer, Dirk Uwe, 2016. "Optimization of self-consumption and techno-economic analysis of PV-battery systems in commercial applications," Applied Energy, Elsevier, vol. 168(C), pages 171-178.
    14. Björn Nykvist & Måns Nilsson, 2015. "Rapidly falling costs of battery packs for electric vehicles," Nature Climate Change, Nature, vol. 5(4), pages 329-332, April.
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    8. Mansour Alramlawi & Pu Li, 2024. "Chance-Constrained Optimal Design of PV-Based Microgrids under Grid Blackout Uncertainties," Energies, MDPI, vol. 17(8), pages 1-15, April.
    9. Zhou, Jian & Coit, David W. & Felder, Frank A. & Tsianikas, Stamatis, 2023. "Combined optimization of system reliability improvement and resilience with mixed cascading failures in dependent network systems," Reliability Engineering and System Safety, Elsevier, vol. 237(C).

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