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Design, Valuation and Comparison of Demand Response Strategies for Congestion Management

Author

Listed:
  • Osaru Agbonaye

    (Centre for Sustainable Technologies, Ulster University, Jordanstown BT37 0QB, Northern Ireland, UK)

  • Patrick Keatley

    (Centre for Sustainable Technologies, Ulster University, Jordanstown BT37 0QB, Northern Ireland, UK)

  • Ye Huang

    (Centre for Sustainable Technologies, Ulster University, Jordanstown BT37 0QB, Northern Ireland, UK)

  • Motasem Bani Mustafa

    (Centre for Sustainable Technologies, Ulster University, Jordanstown BT37 0QB, Northern Ireland, UK)

  • Neil Hewitt

    (Centre for Sustainable Technologies, Ulster University, Jordanstown BT37 0QB, Northern Ireland, UK)

Abstract

Decarbonisation of heat and transport will cause congestion issues in distribution networks. To avoid expensive network investments, demand flexibility is necessary to move loads from peak to off-peak periods. We provide a method and metric for assessing and selecting the optimal demand response strategy for a given network congestion scenario and applied it to a case study network in Coleraine, Northern Ireland. We proposed a Price Approximation/Mean Grouping strategy to deal with the issue of congestions occurring at the lowest-price period in real-time pricing schemes. The Mean Grouping strategy increased the average lowest-price hours from 1.32 to 3.76. We show that a three-cluster tariff is effective in solving medium congestion issues in Northern Ireland and could save consumers an average of £117/year on their heating bill. However, for networks with low headroom suffering from serious congestion issues, a smart control strategy is needed.

Suggested Citation

  • Osaru Agbonaye & Patrick Keatley & Ye Huang & Motasem Bani Mustafa & Neil Hewitt, 2020. "Design, Valuation and Comparison of Demand Response Strategies for Congestion Management," Energies, MDPI, vol. 13(22), pages 1-29, November.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:22:p:6085-:d:448654
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    References listed on IDEAS

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    Cited by:

    1. Tom Elliott & Joachim Geske & Richard Green, 2022. "Business Models for Active Buildings," Energies, MDPI, vol. 15(19), pages 1-17, October.
    2. Jesús Muñoz-Cruzado-Alba & Rossano Musca & Javier Ballestín-Fuertes & José F. Sanz-Osorio & David Miguel Rivas-Ascaso & Michael P. Jones & Angelo Catania & Emil Goosen, 2021. "Power Grid Integration and Use-Case Study of Acid-Base Flow Battery Technology," Sustainability, MDPI, vol. 13(11), pages 1-27, May.
    3. Agbonaye, Osaru & Keatley, Patrick & Huang, Ye & Odiase, Friday O. & Hewitt, Neil, 2022. "Value of demand flexibility for managing wind energy constraint and curtailment," Renewable Energy, Elsevier, vol. 190(C), pages 487-500.
    4. Iurii Prokazov & Vladimir Gorbanyov & Vadim Samusenkov & Irina Razinkina & Monika Chłąd, 2021. "Assessing the Flexibility of Renewable Energy Multinational Corporations," Energies, MDPI, vol. 14(13), pages 1-19, June.
    5. Francesco Mancini & Jacopo Cimaglia & Gianluigi Lo Basso & Sabrina Romano, 2021. "Implementation and Simulation of Real Load Shifting Scenarios Based on a Flexibility Price Market Strategy—The Italian Residential Sector as a Case Study," Energies, MDPI, vol. 14(11), pages 1-21, May.
    6. Agbonaye, Osaru & Keatley, Patrick & Huang, Ye & Ademulegun, Oluwasola O. & Hewitt, Neil, 2021. "Mapping demand flexibility: A spatio-temporal assessment of flexibility needs, opportunities and response potential," Applied Energy, Elsevier, vol. 295(C).

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