IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v256y2019ics030626191931579x.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S030626191931579X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2019.113892?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Shabnam Homaei & Mohamed Hamdy, 2021. "Quantification of Energy Flexibility and Survivability of All-Electric Buildings with Cost-Effective Battery Size: Methodology and Indexes," Energies, MDPI, vol. 14(10), pages 1-32, May.
    2. Shang, Ce & Lin, Teng & Li, Canbing & Wang, Keyou & Ai, Qian, 2021. "Joining resilience and reliability evaluation against both weather and ageing causes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    3. Tsianikas, Stamatis & Yousefi, Nooshin & Zhou, Jian & Rodgers, Mark D. & Coit, David, 2021. "A storage expansion planning framework using reinforcement learning and simulation-based optimization," Applied Energy, Elsevier, vol. 290(C).
    4. Gorman, Will & Barbose, Galen & Pablo Carvallo, Juan & Baik, Sunhee & Miller, Chandler & White, Philip & Praprost, Marlena, 2023. "County-level assessment of behind-the-meter solar and storage to mitigate long duration power interruptions for residential customers," Applied Energy, Elsevier, vol. 342(C).
    5. 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).
    6. Sapountzoglou, Nikolaos & Lago, Jesus & De Schutter, Bart & Raison, Bertrand, 2020. "A generalizable and sensor-independent deep learning method for fault detection and location in low-voltage distribution grids," Applied Energy, Elsevier, vol. 276(C).
    7. Camilo Andres Mora & Oscar Danilo Montoya & Edwin Rivas Trujillo, 2020. "Mixed-Integer Programming Model for Transmission Network Expansion Planning with Battery Energy Storage Systems (BESS)," Energies, MDPI, vol. 13(17), pages 1-22, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Matteo Moncecchi & Claudio Brivio & Stefano Mandelli & Marco Merlo, 2020. "Battery Energy Storage Systems in Microgrids: Modeling and Design Criteria," Energies, MDPI, vol. 13(8), pages 1-18, April.
    3. Mandelli, Stefano & Brivio, Claudio & Colombo, Emanuela & Merlo, Marco, 2016. "A sizing methodology based on Levelized Cost of Supplied and Lost Energy for off-grid rural electrification systems," Renewable Energy, Elsevier, vol. 89(C), pages 475-488.
    4. Stefan Arens & Sunke Schlüters & Benedikt Hanke & Karsten von Maydell & Carsten Agert, 2020. "Sustainable Residential Energy Supply: A Literature Review-Based Morphological Analysis," Energies, MDPI, vol. 13(2), pages 1-28, January.
    5. Ridha, Hussein Mohammed & Gomes, Chandima & Hizam, Hashim & Ahmadipour, Masoud & Heidari, Ali Asghar & Chen, Huiling, 2021. "Multi-objective optimization and multi-criteria decision-making methods for optimal design of standalone photovoltaic system: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    6. Khatib, Tamer & Mohamed, Azah & Sopian, K., 2013. "A review of photovoltaic systems size optimization techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 454-465.
    7. Schopfer, S. & Tiefenbeck, V. & Staake, T., 2018. "Economic assessment of photovoltaic battery systems based on household load profiles," Applied Energy, Elsevier, vol. 223(C), pages 229-248.
    8. Sarhan, Ameen & Hizam, Hashim & Mariun, Norman & Ya'acob, M.E., 2019. "An improved numerical optimization algorithm for sizing and configuration of standalone photo-voltaic system components in Yemen," Renewable Energy, Elsevier, vol. 134(C), pages 1434-1446.
    9. Agata Mielcarek & Bartosz Ceran & Jakub Jurasz, 2023. "The Impact of Degradation of PV/Battery-Independent System Components on Technical and Economic Indicators and Sizing Process," Energies, MDPI, vol. 16(18), pages 1-32, September.
    10. Lahnaoui, Amin & Stenzel, Peter & Linssen, Jochen, 2018. "Techno-economic analysis of photovoltaic battery system configuration and location☆," Applied Energy, Elsevier, vol. 227(C), pages 497-505.
    11. Koskela, Juha & Rautiainen, Antti & Järventausta, Pertti, 2019. "Using electrical energy storage in residential buildings – Sizing of battery and photovoltaic panels based on electricity cost optimization," Applied Energy, Elsevier, vol. 239(C), pages 1175-1189.
    12. Nordin, Nur Dalilah & Rahman, Hasimah Abdul, 2019. "Comparison of optimum design, sizing, and economic analysis of standalone photovoltaic/battery without and with hydrogen production systems," Renewable Energy, Elsevier, vol. 141(C), pages 107-123.
    13. Kalkbrenner, Bernhard J., 2019. "Residential vs. community battery storage systems – Consumer preferences in Germany," Energy Policy, Elsevier, vol. 129(C), pages 1355-1363.
    14. Schroeder, Andreas, 2011. "Modeling storage and demand management in power distribution grids," Applied Energy, Elsevier, vol. 88(12), pages 4700-4712.
    15. Tsianikas, Stamatis & Yousefi, Nooshin & Zhou, Jian & Rodgers, Mark D. & Coit, David, 2021. "A storage expansion planning framework using reinforcement learning and simulation-based optimization," Applied Energy, Elsevier, vol. 290(C).
    16. Ren, Zhengen & Paevere, Phillip & Chen, Dong, 2019. "Feasibility of off-grid housing under current and future climates," Applied Energy, Elsevier, vol. 241(C), pages 196-211.
    17. Han, Xuejiao & Garrison, Jared & Hug, Gabriela, 2022. "Techno-economic analysis of PV-battery systems in Switzerland," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    18. Grimm, Veronika & Grübel, Julia & Rückel, Bastian & Sölch, Christian & Zöttl, Gregor, 2020. "Storage investment and network expansion in distribution networks: The impact of regulatory frameworks," Applied Energy, Elsevier, vol. 262(C).
    19. Yang, Yuqing & Bremner, Stephen & Menictas, Chris & Kay, Merlinde, 2018. "Battery energy storage system size determination in renewable energy systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 109-125.
    20. Kaldellis, J.K. & Zafirakis, D. & Kavadias, K., 2012. "Minimum cost solution of wind–photovoltaic based stand-alone power systems for remote consumers," Energy Policy, Elsevier, vol. 42(C), pages 105-117.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:256:y:2019:i:c:s030626191931579x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.