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Economic and environmental benefits of coordinating dispatch among distributed electricity storage

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  • Zheng, Menglian
  • Wang, Xinhao
  • Meinrenken, Christoph J.
  • Ding, Yi

Abstract

The increasing use of small-scale, distributed electricity storage for residential electricity storage in individual homes (e.g., Tesla Powerwall® batteries) and storage-based demand response has introduced an emerging challenge for current electricity grids in the form of raised peak loads or “new” peaks on the grid caused by unconstrained charging of the distributed electricity storage. Such a challenge poses a critical need for practical dispatch strategies which have been addressed in previous studies, e.g. for electric vehicles. However, few previous studies were conducted in the context of micro-grids. In addition, although there are alternatives such as distributed and central control strategies, it remains unclear which strategy – and to what extent – could outperform the other in terms of economics and environmental impacts. Here, we study such dispatch strategies for a large number of residential electricity storage devices in a micro-grid, along with their economic and environmental benefits. A central control scheme is proposed for coordinating dispatch among multiple distributed electricity storage devices that are interconnected through a micro-grid network, thus enabling storage-based loadshifting. A case study based on New York State tariffs and generation assets is performed to verify the effectiveness of the proposed scheme. Our simulation results show that the proposed central control scheme can yield annual profits (i.e., reduced time-of-use tariff costs minus levelized storage cost) ranging from 4.3% to 24% of the annual cost without storage. These profits are up to 43% higher than those achieved under the distributed control strategy. In addition, the central control strategies yield positive impacts for the environment by effectively alleviating state-wide emissions from electricity generation.

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  • Zheng, Menglian & Wang, Xinhao & Meinrenken, Christoph J. & Ding, Yi, 2018. "Economic and environmental benefits of coordinating dispatch among distributed electricity storage," Applied Energy, Elsevier, vol. 210(C), pages 842-855.
  • Handle: RePEc:eee:appene:v:210:y:2018:i:c:p:842-855
    DOI: 10.1016/j.apenergy.2017.07.095
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    References listed on IDEAS

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    1. Riesen, Yannick & Ballif, Christophe & Wyrsch, Nicolas, 2017. "Control algorithm for a residential photovoltaic system with storage," Applied Energy, Elsevier, vol. 202(C), pages 78-87.
    2. Richardson, David B., 2013. "Electric vehicles and the electric grid: A review of modeling approaches, Impacts, and renewable energy integration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 247-254.
    3. Stephen P. Holland & Erin T. Mansur, 2008. "Is Real-Time Pricing Green? The Environmental Impacts of Electricity Demand Variance," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 550-561, August.
    4. Meinrenken, Christoph J. & Lackner, Klaus S., 2015. "Fleet view of electrified transportation reveals smaller potential to reduce GHG emissions," Applied Energy, Elsevier, vol. 138(C), pages 393-403.
    5. Sani Hassan, Abubakar & Cipcigan, Liana & Jenkins, Nick, 2017. "Optimal battery storage operation for PV systems with tariff incentives," Applied Energy, Elsevier, vol. 203(C), pages 422-441.
    6. Zheng, Menglian & Meinrenken, Christoph J. & Lackner, Klaus S., 2015. "Smart households: Dispatch strategies and economic analysis of distributed energy storage for residential peak shaving," Applied Energy, Elsevier, vol. 147(C), pages 246-257.
    7. Ma, Hongrui & Balthasar, Felix & Tait, Nigel & Riera-Palou, Xavier & Harrison, Andrew, 2012. "A new comparison between the life cycle greenhouse gas emissions of battery electric vehicles and internal combustion vehicles," Energy Policy, Elsevier, vol. 44(C), pages 160-173.
    8. Moshövel, Janina & Kairies, Kai-Philipp & Magnor, Dirk & Leuthold, Matthias & Bost, Mark & Gährs, Swantje & Szczechowicz, Eva & Cramer, Moritz & Sauer, Dirk Uwe, 2015. "Analysis of the maximal possible grid relief from PV-peak-power impacts by using storage systems for increased self-consumption," Applied Energy, Elsevier, vol. 137(C), pages 567-575.
    9. Carson, Richard T. & Novan, Kevin, 2013. "The private and social economics of bulk electricity storage," Journal of Environmental Economics and Management, Elsevier, vol. 66(3), pages 404-423.
    10. Green II, Robert C. & Wang, Lingfeng & Alam, Mansoor, 2011. "The impact of plug-in hybrid electric vehicles on distribution networks: A review and outlook," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 544-553, January.
    11. Lunz, Benedikt & Yan, Zexiong & Gerschler, Jochen Bernhard & Sauer, Dirk Uwe, 2012. "Influence of plug-in hybrid electric vehicle charging strategies on charging and battery degradation costs," Energy Policy, Elsevier, vol. 46(C), pages 511-519.
    12. Zheng, Menglian & Meinrenken, Christoph J. & Lackner, Klaus S., 2014. "Agent-based model for electricity consumption and storage to evaluate economic viability of tariff arbitrage for residential sector demand response," Applied Energy, Elsevier, vol. 126(C), pages 297-306.
    13. Coelho, Vitor N. & Coelho, Igor M. & Coelho, Bruno N. & de Oliveira, Glauber C. & Barbosa, Alexandre C. & Pereira, Leo & de Freitas, Alan & Santos, Haroldo G. & Ochi, Luis S. & Guimarães, Frederico G., 2017. "A communitarian microgrid storage planning system inside the scope of a smart city," Applied Energy, Elsevier, vol. 201(C), pages 371-381.
    14. Kristoffersen, Trine Krogh & Capion, Karsten & Meibom, Peter, 2011. "Optimal charging of electric drive vehicles in a market environment," Applied Energy, Elsevier, vol. 88(5), pages 1940-1948, May.
    15. Santos, João M. & Moura, Pedro S. & Almeida, Aníbal T. de, 2014. "Technical and economic impact of residential electricity storage at local and grid level for Portugal," Applied Energy, Elsevier, vol. 128(C), pages 254-264.
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