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Probabilistic Assessment of Hybrid Wind-PV Hosting Capacity in Distribution Systems

Author

Listed:
  • Dichen Liu

    (School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China)

  • Chenxu Wang

    (School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China)

  • Fei Tang

    (School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China)

  • Yixi Zhou

    (State Grid Hangzhou Electric Power Supply Company, Hangzhou 310000, China)

Abstract

In recent years, hybrid wind-photovoltaic (PV) systems are flourishing due to their advantages in the utilization of renewable energy. However, the accurate assessment of the maximum integration of hybrid renewable generation is problematic because of the complex uncertainties of source and demand. To address this issue, we develop a stochastic framework for the quantification of hybrid energy hosting capacity. In the proposed framework, historical data sets are adopted to represent the stochastic nature of production and demand. Moreover, extreme combinations of production and demand are introduced to avoid multiple load flow calculations. The proposed framework is conducted in the IEEE 33-bus system to evaluate both single and hybrid energy hosting capacity. The results demonstrate that the stochastic framework can provide accurate evaluations of hosting capacity while significantly reducing the computational burden. This study provides a comprehensive understanding of hybrid wind-PV hosting capacity and verifies the excellent performance of the hybrid energy system in facilitating integration and energy utilization.

Suggested Citation

  • Dichen Liu & Chenxu Wang & Fei Tang & Yixi Zhou, 2020. "Probabilistic Assessment of Hybrid Wind-PV Hosting Capacity in Distribution Systems," Sustainability, MDPI, vol. 12(6), pages 1-19, March.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:6:p:2183-:d:331393
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    References listed on IDEAS

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    Cited by:

    1. Vincent Umoh & Innocent Davidson & Abayomi Adebiyi & Unwana Ekpe, 2023. "Methods and Tools for PV and EV Hosting Capacity Determination in Low Voltage Distribution Networks—A Review," Energies, MDPI, vol. 16(8), pages 1-25, April.
    2. Yao, Hongmin & Qin, Wenping & Jing, Xiang & Zhu, Zhilong & Wang, Ke & Han, Xiaoqing & Wang, Peng, 2022. "Possibilistic evaluation of photovoltaic hosting capacity on distribution networks under uncertain environment," Applied Energy, Elsevier, vol. 324(C).
    3. Kamran Daniel & Lauri Kütt & Muhammad Naveed Iqbal & Noman Shabbir & Ateeq Ur Rehman & Muhammad Shafiq & Habib Hamam, 2022. "Current Harmonic Aggregation Cases for Contemporary Loads," Energies, MDPI, vol. 15(2), pages 1-15, January.
    4. Shaila Arif & Ata E Rabbi & Shams Uddin Ahmed & Molla Shahadat Hossain Lipu & Taskin Jamal & Tareq Aziz & Mahidur R. Sarker & Amna Riaz & Talal Alharbi & Muhammad Majid Hussain, 2022. "Enhancement of Solar PV Hosting Capacity in a Remote Industrial Microgrid: A Methodical Techno-Economic Approach," Sustainability, MDPI, vol. 14(14), pages 1-23, July.
    5. Ezequiel Junio Lima & Luiz Carlos Gomes Freitas, 2022. "Hosting Capacity Calculation Deploying a Hybrid Methodology: A Case Study Concerning the Intermittent Nature of Photovoltaic Distributed Generation and the Variable Nature of Energy Consumption in a M," Energies, MDPI, vol. 15(3), pages 1-16, February.

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