IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v286y2021ics0306261921000933.html
   My bibliography  Save this article

Fair coordination of distributed energy resources with Volt-Var control and PV curtailment

Author

Listed:
  • Gebbran, Daniel
  • Mhanna, Sleiman
  • Ma, Yiju
  • Chapman, Archie C.
  • Verbič, Gregor

Abstract

This paper presents a novel distributed optimal power flow (DOPF) method for fair distributed energy resource (DER) coordination in the context of mandated rooftop PV inverter control modes. In practice, inverter reactive power control is increasingly required by grid connection codes, which often unfairly curtail PV generation of prosumers towards the end of low-voltage feeders. Similarly, optimization-based DER coordination methods that aim solely for technically-efficient DER coordination do not consider the distribution of PV curtailment across customers. To address these concerns, we develop a tractable multi-objective DOPF method for optimal DER coordination that (i) curtails PV generation fairly across prosumers, and (ii) incorporates a standard piecewise-linear Volt-Var control reactive power control function without using integer variables. Three equity principles representing different interpretations of fairness are implemented in our coordination method; namely, egalitarian, proportional and uniform dynamic PV curtailment redistribution. The performance of our approach is demonstrated on low-voltage distribution feeders of different sizes (5, 10, 25, 50 and 100 prosumers) using two network topologies: line topology without lateral spurs and tree topology with lateral spurs. Each network considers three levels of PV penetration, giving 30 test systems in total. The results demonstrate the effectiveness of the proposed DOPF method for fair DER coordination: PV curtailment is equitably distributed among prosumers with a computational burden on par with conventional DOPF approaches. Moreover, different fairness methods result in different patterns of curtailment, which a regulator may choose between.

Suggested Citation

  • Gebbran, Daniel & Mhanna, Sleiman & Ma, Yiju & Chapman, Archie C. & Verbič, Gregor, 2021. "Fair coordination of distributed energy resources with Volt-Var control and PV curtailment," Applied Energy, Elsevier, vol. 286(C).
  • Handle: RePEc:eee:appene:v:286:y:2021:i:c:s0306261921000933
    DOI: 10.1016/j.apenergy.2021.116546
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261921000933
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2021.116546?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. Hugh Everett, 1963. "Generalized Lagrange Multiplier Method for Solving Problems of Optimum Allocation of Resources," Operations Research, INFORMS, vol. 11(3), pages 399-417, June.
    2. Almasalma, Hamada & Claeys, Sander & Deconinck, Geert, 2019. "Peer-to-peer-based integrated grid voltage support function for smart photovoltaic inverters," Applied Energy, Elsevier, vol. 239(C), pages 1037-1048.
    3. Anthony Papavasiliou, 2018. "Analysis of distribution locational marginal prices," LIDAM Reprints CORE 3045, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    4. Zugno, Marco & Morales, Juan Miguel & Pinson, Pierre & Madsen, Henrik, 2013. "A bilevel model for electricity retailers' participation in a demand response market environment," Energy Economics, Elsevier, vol. 36(C), pages 182-197.
    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. Lonergan, Katherine Emma & Suter, Nicolas & Sansavini, Giovanni, 2023. "Energy systems modelling for just transitions," Energy Policy, Elsevier, vol. 183(C).
    2. Ma, Yiju & Chapman, Archie C. & Verbič, Gregor, 2022. "Valuation of compound real options for co-investment in residential battery systems," Applied Energy, Elsevier, vol. 318(C).
    3. Moreno Jaramillo, Andres F. & Laverty, David M. & Morrow, D. John & Martinez del Rincon, Jesús & Foley, Aoife M., 2021. "Load modelling and non-intrusive load monitoring to integrate distributed energy resources in low and medium voltage networks," Renewable Energy, Elsevier, vol. 179(C), pages 445-466.
    4. Khosravi, Nima & Baghbanzadeh, Rasoul & Oubelaid, Adel & Tostado-Véliz, Marcos & Bajaj, Mohit & Hekss, Zineb & Echalih, Salwa & Belkhier, Youcef & Houran, Mohamad Abou & Aboras, Kareem M., 2023. "A novel control approach to improve the stability of hybrid AC/DC microgrids," Applied Energy, Elsevier, vol. 344(C).
    5. Zabihinia Gerdroodbari, Yasin & Khorasany, Mohsen & Razzaghi, Reza, 2022. "Dynamic PQ Operating Envelopes for prosumers in distribution networks," Applied Energy, Elsevier, vol. 325(C).

    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. Rolf H. Möhring & Andreas S. Schulz & Frederik Stork & Marc Uetz, 2003. "Solving Project Scheduling Problems by Minimum Cut Computations," Management Science, INFORMS, vol. 49(3), pages 330-350, March.
    2. Azim, M. Imran & Tushar, Wayes & Saha, Tapan K., 2021. "Cooperative negawatt P2P energy trading for low-voltage distribution networks," Applied Energy, Elsevier, vol. 299(C).
    3. Martin Weibelzahl & Alexandra Märtz, 2020. "Optimal storage and transmission investments in a bilevel electricity market model," Annals of Operations Research, Springer, vol. 287(2), pages 911-940, April.
    4. Josue Campos do Prado & Wei Qiao & Liyan Qu & Julio Romero Agüero, 2019. "The Next-Generation Retail Electricity Market in the Context of Distributed Energy Resources: Vision and Integrating Framework," Energies, MDPI, vol. 12(3), pages 1-24, February.
    5. Qiuyi Hong & Fanlin Meng & Jian Liu, 2023. "Customised Multi-Energy Pricing: Model and Solutions," Energies, MDPI, vol. 16(4), pages 1-31, February.
    6. Mustafa Doğru & A. Kok & G. Houtum, 2013. "Newsvendor characterizations for one-warehouse multi-retailer inventory systems with discrete demand under the balance assumption," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 21(3), pages 541-559, September.
    7. Cao, GangCheng & Fang, Debin & Wang, Pengyu, 2021. "The impacts of social learning on a real-time pricing scheme in the electricity market," Applied Energy, Elsevier, vol. 291(C).
    8. D. Babusiaux, 1988. "Financing investment and calculations of profitability [Financement des investissements et calculs de rentabilité]," Working Papers hal-01534450, HAL.
    9. Ajla Mehinovic & Matej Zajc & Nermin Suljanovic, 2023. "Interpretation and Quantification of the Flexibility Sources Location on the Flexibility Service in the Distribution Grid," Energies, MDPI, vol. 16(2), pages 1-18, January.
    10. Alizadeh, S.M. & Marcotte, P. & Savard, G., 2013. "Two-stage stochastic bilevel programming over a transportation network," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 92-105.
    11. Arnaud Costinot & Andrés Rodríguez‐Clare & Iván Werning, 2020. "Micro to Macro: Optimal Trade Policy With Firm Heterogeneity," Econometrica, Econometric Society, vol. 88(6), pages 2739-2776, November.
    12. Hellwig, Klaus, 2007. "The creation of wealth," Finance Research Letters, Elsevier, vol. 4(3), pages 172-178, September.
    13. Clastres, Cédric & Khalfallah, Haikel, 2021. "Dynamic pricing efficiency with strategic retailers and consumers: An analytical analysis of short-term market interactions," Energy Economics, Elsevier, vol. 98(C).
    14. Alan Washburn, 2013. "OR Forum---Blotto Politics," Operations Research, INFORMS, vol. 61(3), pages 532-543, June.
    15. Koushik Ramakrishna & Moosa Sharafali & Yun Lim, 2015. "A two-item two-warehouse periodic review inventory model with transshipment," Annals of Operations Research, Springer, vol. 233(1), pages 365-381, October.
    16. Khojasteh, Meysam & Jadid, Shahram, 2015. "Decision-making framework for supplying electricity from distributed generation-owning retailers to price-sensitive customers," Utilities Policy, Elsevier, vol. 37(C), pages 1-12.
    17. Tushar, Wayes & Saha, Tapan Kumar & Yuen, Chau & Azim, M. Imran & Morstyn, Thomas & Poor, H. Vincent & Niyato, Dustin & Bean, Richard, 2020. "A coalition formation game framework for peer-to-peer energy trading," Applied Energy, Elsevier, vol. 261(C).
    18. Thanh Luong & Frederic H. Murphy & Reginald Sanders & Susan H. Holte & Peter Whitman, 1998. "Modeling the Impacts of the 1990 Clean Air Act Amendments," Interfaces, INFORMS, vol. 28(2), pages 1-15, April.
    19. Kevin Glazebrook & Alan Washburn, 2004. "Shoot-Look-Shoot: A Review and Extension," Operations Research, INFORMS, vol. 52(3), pages 454-463, June.
    20. Meng, Fanlin & Ma, Qian & Liu, Zixu & Zeng, Xiao-Jun, 2023. "Multiple dynamic pricing for demand response with adaptive clustering-based customer segmentation in smart grids," Applied Energy, Elsevier, vol. 333(C).

    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:286:y:2021:i:c:s0306261921000933. 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.