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Distribution networks' energy losses versus hosting capacity of wind power in the presence of demand flexibility

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  • Soroudi, Alireza
  • Rabiee, Abbas
  • Keane, Andrew

Abstract

With the increasing share of renewable energy sources (RES) in demand supply, the distribution network operators (DNOs) are facing with new challenges. In one hand, it is desirable to increase the ability of the network in absorbing more renewable power generation units (or increasing the hosting capacity (HC)). On the other hand, power injection to the distribution network by renewable resources may increase the active power losses (if not properly allocated) which reduces the efficiency of the network. Thus, the DNO should make a balance between these two incommensurate objective functions. The Demand Response (DR) in context of smart grids can be used by DNO to facilitate this action. This paper provides an approach in which a multi-objective and multi-period NLP optimization model is formulated where the DR is utilized as an effective tool to increase HC and decrease the energy losses simultaneously. In order to quantify the benefits of the proposed method, it is applied on a 69-bus distribution network. The numerical results substantiate that the proposed approach gives optimal locations and capacity of RES, as well as minimum energy losses by load shifting capability provided via DR programs.

Suggested Citation

  • Soroudi, Alireza & Rabiee, Abbas & Keane, Andrew, 2017. "Distribution networks' energy losses versus hosting capacity of wind power in the presence of demand flexibility," Renewable Energy, Elsevier, vol. 102(PB), pages 316-325.
    • Handle: RePEc:eee:renene:v:102:y:2017:i:pb:p:316-325
    DOI: 10.1016/j.renene.2016.10.051
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    References listed on IDEAS

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    Cited by:

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    2. Cho, Yongjun & Lee, Eunjung & Baek, Keon & Kim, Jinho, 2023. "Stochastic Optimization-Based hosting capacity estimation with volatile net load deviation in distribution grids," Applied Energy, Elsevier, vol. 341(C).
    3. Xu, Xu & Li, Jiayong & Xu, Zhao & Zhao, Jian & Lai, Chun Sing, 2019. "Enhancing photovoltaic hosting capacity—A stochastic approach to optimal planning of static var compensator devices in distribution networks," Applied Energy, Elsevier, vol. 238(C), pages 952-962.
    4. Gyanendra Singh Sisodia & Einas Awad & Heba Alkhoja & Bruno S. Sergi, 2020. "Strategic business risk evaluation for sustainable energy investment and stakeholder engagement: A proposal for energy policy development in the Middle East through Khalifa funding and land subsidies," Business Strategy and the Environment, Wiley Blackwell, vol. 29(6), pages 2789-2802, September.
    5. Prajapati, Vijaykumar K. & Mahajan, Vasundhara, 2021. "Reliability assessment and congestion management of power system with energy storage system and uncertain renewable resources," Energy, Elsevier, vol. 215(PB).
    6. Moein Taghavi & Hamed Delkhosh & Mohsen Parsa Moghaddam & Alireza Sheikhi Fini, 2022. "Combined PV-Wind Hosting Capacity Enhancement of a Hybrid AC/DC Distribution Network Using Reactive Control of Convertors and Demand Flexibility," Sustainability, MDPI, vol. 14(13), pages 1-28, June.
    7. Ismael, Sherif M. & Abdel Aleem, Shady H.E. & Abdelaziz, Almoataz Y. & Zobaa, Ahmed F., 2019. "State-of-the-art of hosting capacity in modern power systems with distributed generation," Renewable Energy, Elsevier, vol. 130(C), pages 1002-1020.
    8. Perera, A.T.D. & Nik, Vahid M. & Wickramasinghe, P.U. & Scartezzini, Jean-Louis, 2019. "Redefining energy system flexibility for distributed energy system design," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    9. Zhou, Siyu & Han, Yang & Zalhaf, Amr S. & Lehtonen, Matti & Darwish, Mohamed M.F. & Mahmoud, Karar, 2024. "Risk-averse bi-level planning model for maximizing renewable energy hosting capacity via empowering seasonal hydrogen storage," Applied Energy, Elsevier, vol. 361(C).
    10. Sajjad Solat & Farrokh Aminifar & Heidarali Shayanfar, 2023. "Changing the regulations for regulating the changes: From distribution system operator (DSO) to electricity distribution stakeholders’ organization (EDSO)," Energy & Environment, , vol. 34(4), pages 830-854, June.
    11. Nik, Vahid M. & Moazami, Amin, 2021. "Using collective intelligence to enhance demand flexibility and climate resilience in urban areas," Applied Energy, Elsevier, vol. 281(C).
    12. Hwang, Hyunkyeong & Yoon, Ahyun & Yoon, Yongtae & Moon, Seungil, 2023. "Demand response of HVAC systems for hosting capacity improvement in distribution networks: A comprehensive review and case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).

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