IDEAS home Printed from https://ideas.repec.org/a/wly/navres/v62y2015i6p493-511.html
   My bibliography  Save this article

Generation and storage dispatch in electricity networks with generator disruptions

Author

Listed:
  • M. Mohsen Moarefdoost
  • Lawrence V. Snyder

Abstract

We present methods for optimizing generation and storage decisions in an electricity network with multiple unreliable generators, each colocated with one energy storage unit (e.g., battery), and multiple loads under power flow constraints. Our model chooses the amount of energy produced by each generator and the amount of energy stored in each battery in every time period in order to minimize power generation and storage costs when each generator faces stochastic Markovian supply disruptions. This problem cannot be optimized easily using stochastic programming and/or dynamic programming approaches. Therefore, in this study, we present several heuristic methods to find an approximate optimal solution for this system. Each heuristic involves decomposing the network into several single‐generator, single‐battery, multiload systems and solving them optimally using dynamic programming, then obtaining a solution for the original problem by recombining. We discuss the computational performance of the proposed heuristics as well as insights gained from the models. © 2015 Wiley Periodicals, Inc. Naval Research Logistics 62: 493–511, 2015

Suggested Citation

  • M. Mohsen Moarefdoost & Lawrence V. Snyder, 2015. "Generation and storage dispatch in electricity networks with generator disruptions," Naval Research Logistics (NRL), John Wiley & Sons, vol. 62(6), pages 493-511, September.
    • Handle: RePEc:wly:navres:v:62:y:2015:i:6:p:493-511
    DOI: 10.1002/nav.21660
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/nav.21660
    Download Restriction: no
    File URL: https://libkey.io/10.1002/nav.21660?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
    ---><---

    References listed on IDEAS

    as
    1. Parlar, Mahmut & Wang, Yunzeng & Gerchak, Yigal, 1995. "A periodic review inventory model with Markovian supply availability," International Journal of Production Economics, Elsevier, vol. 42(2), pages 131-136, December.
    2. Wu, Felix & Varaiya, Pravin & Spiller, Pablo & Oren, Shmuel, 1996. "Folk Theorems on Transmission Access: Proofs and Counterexamples," Journal of Regulatory Economics, Springer, vol. 10(1), pages 5-23, July.
    3. Brian Tomlin, 2006. "On the Value of Mitigation and Contingency Strategies for Managing Supply Chain Disruption Risks," Management Science, INFORMS, vol. 52(5), pages 639-657, May.
    4. LaCommare, Kristina Hamachi & Eto, Joseph H., 2006. "Cost of power interruptions to electricity consumers in the United States (US)," Energy, Elsevier, vol. 31(12), pages 1845-1855.
    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. Weiwei Cui & Lin Li & Zhiqiang Lu, 2019. "Energy‐efficient scheduling for sustainable manufacturing systems with renewable energy resources," Naval Research Logistics (NRL), John Wiley & Sons, vol. 66(2), pages 154-173, March.

    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. Jingfu Huang & Gaoke Wu & Yiju Wang, 2021. "Retailer’s Emergency Ordering Policy When Facing an Impending Supply Disruption," Sustainability, MDPI, vol. 13(13), pages 1-21, June.
    2. Brian Tomlin, 2009. "Impact of Supply Learning When Suppliers Are Unreliable," Manufacturing & Service Operations Management, INFORMS, vol. 11(2), pages 192-209, August.
    3. Soroush Saghafian & Mark P. Van Oyen, 2016. "Compensating for Dynamic Supply Disruptions: Backup Flexibility Design," Operations Research, INFORMS, vol. 64(2), pages 390-405, April.
    4. Volodymyr Babich, 2010. "Independence of Capacity Ordering and Financial Subsidies to Risky Suppliers," Manufacturing & Service Operations Management, INFORMS, vol. 12(4), pages 583-607, September.
    5. Chen, Junlin & Zhao, Xiaobo & Zhou, Yun, 2012. "A periodic-review inventory system with a capacitated backup supplier for mitigating supply disruptions," European Journal of Operational Research, Elsevier, vol. 219(2), pages 312-323.
    6. Wagner, Laura & Gürbüz, Mustafa Ҫagri & Parlar, Mahmut, 2019. "Is it fake? Using potentially low quality suppliers as back-up when genuine suppliers are unavailable," International Journal of Production Economics, Elsevier, vol. 213(C), pages 185-200.
    7. Hekimoğlu, Mustafa & van der Laan, Ervin & Dekker, Rommert, 2018. "Markov-modulated analysis of a spare parts system with random lead times and disruption risks," European Journal of Operational Research, Elsevier, vol. 269(3), pages 909-922.
    8. Hishamuddin, Hawa & Sarker, Ruhul A. & Essam, Daryl, 2014. "A recovery mechanism for a two echelon supply chain system under supply disruption," Economic Modelling, Elsevier, vol. 38(C), pages 555-563.
    9. Hishamuddin, H. & Sarker, R.A. & Essam, D., 2012. "A disruption recovery model for a single stage production-inventory system," European Journal of Operational Research, Elsevier, vol. 222(3), pages 464-473.
    10. Ahiska, S. Sebnem & Appaji, Samyuktha R. & King, Russell E. & Warsing, Donald P., 2013. "A Markov decision process-based policy characterization approach for a stochastic inventory control problem with unreliable sourcing," International Journal of Production Economics, Elsevier, vol. 144(2), pages 485-496.
    11. Luo, Sha & Ahiska, S. Sebnem & Fang, Shu-Cherng & King, Russell E. & Warsing, Donald P. & Wu, Shuohao, 2021. "An analysis of optimal ordering policies for a two-supplier system with disruption risk," Omega, Elsevier, vol. 105(C).
    12. E J Lodree Jr & S Taskin, 2008. "An insurance risk management framework for disaster relief and supply chain disruption inventory planning," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(5), pages 674-684, May.
    13. Rezapour, Shabnam & Srinivasan, Ramakrishnan & Tew, Jeffrey & Allen, Janet K. & Mistree, Farrokh, 2018. "Correlation between strategic and operational risk mitigation strategies in supply networks," International Journal of Production Economics, Elsevier, vol. 201(C), pages 225-248.
    14. Saedi, Samira & Kundakcioglu, O. Erhun & Henry, Andrea C., 2016. "Mitigating the impact of drug shortages for a healthcare facility: An inventory management approach," European Journal of Operational Research, Elsevier, vol. 251(1), pages 107-123.
    15. Odin Foldvik Eikeland & Filippo Maria Bianchi & Inga Setså Holmstrand & Sigurd Bakkejord & Sergio Santos & Matteo Chiesa, 2022. "Uncovering Contributing Factors to Interruptions in the Power Grid: An Arctic Case," Energies, MDPI, vol. 15(1), pages 1-21, January.
    16. Schmidt, Christoph G. & Wuttke, David A. & Heese, H. Sebastian & Wagner, Stephan M., 2023. "Antecedents of public reactions to supply chain glitches," International Journal of Production Economics, Elsevier, vol. 259(C).
    17. Jie Wu & Zhixin Chen & Xiang Ji, 2020. "Sustainable trade promotion decisions under demand disruption in manufacturer-retailer supply chains," Annals of Operations Research, Springer, vol. 290(1), pages 115-143, July.
    18. Dávid Csercsik & László Á. Kóczy, 2017. "Efficiency and Stability in Electrical Power Transmission Networks: a Partition Function Form Approach," Networks and Spatial Economics, Springer, vol. 17(4), pages 1161-1184, December.
    19. Xiang Li, 2017. "Optimal procurement strategies from suppliers with random yield and all-or-nothing risks," Annals of Operations Research, Springer, vol. 257(1), pages 167-181, October.
    20. Yan, Xiaoming & Zhang, Minghui & Liu, Ke, 2010. "A note on coordination in decentralized assembly systems with uncertain component yields," European Journal of Operational Research, Elsevier, vol. 205(2), pages 469-478, September.

    More about this item

    Statistics

    Access and download statistics

    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:wly:navres:v:62:y:2015:i:6:p:493-511. 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: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1002/(ISSN)1520-6750 .

    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.