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PV Hosting Capacity in LV Networks by Combining Customer Voltage Sensitivity and Reliability Analysis

Author

Listed:
  • Mikka Kisuule

    (Department of Electrical and Computer Engineering, College of Engineering Design Art and Technology, Makerere University, Kampala P.O. Box 7062, Uganda)

  • Mike Brian Ndawula

    (Research and Development, Energy Division, Orijtech Inc., Palo Alto, CA 94301, USA)

  • Chenghong Gu

    (Centre for Sustainable Power Distribution, Department of Electronic and Electrical Engineering, University of Bath, Bath BA2 7AY, UK)

  • Ignacio Hernando-Gil

    (ESTIA Institute of Technology, University of Bordeaux, 64210 Bidart, France)

Abstract

This paper investigates voltage regulation in low voltage (LV) networks under different loading conditions of a supply network, with increased levels of distributed generation, and in particular with a diverse range of locational solar photovoltaic (PV) penetration. This topic has been researched extensively, with beneficial impacts expected up to a certain point when reverse power flows begin to negatively impact customers connected to the distribution system. In this paper, a voltage-based approach that utilizes novel voltage-based reliability indices is proposed to analyse the risk and reliability of the LV supply feeder, as well as its PV hosting capacity. The proposed indices are directly comparable to results from a probabilistic reliability assessment. The operation of the network is simulated for different PV scenarios to investigate the impacts of increased PV penetration, the location of PV on the feeder, and loading conditions of the MV supply network on the reliability results. It can be seen that all reliability indices improve with increased PV penetration levels when the supply network is heavily loaded and conversely deteriorate when the supply network is lightly loaded. Moreover, bus voltages improve when an on-load tap changer is fitted at the secondary trans-former which leads to better reliability performance as the occurrence and duration of low voltage violations are reduced in all PV scenarios. The approach in this paper is opposed to the conventional reliability assessment, which considers sustained interruptions to customers caused by failure of network components, and thus contributes to a comprehensive analysis of quality of service by considering transient events (i.e., voltage related) in the LV distribution network.

Suggested Citation

  • Mikka Kisuule & Mike Brian Ndawula & Chenghong Gu & Ignacio Hernando-Gil, 2023. "PV Hosting Capacity in LV Networks by Combining Customer Voltage Sensitivity and Reliability Analysis," Energies, MDPI, vol. 16(16), pages 1-17, August.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:16:p:5893-:d:1213706
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    References listed on IDEAS

    as
    1. Mikka Kisuule & Ignacio Hernando-Gil & Jonathan Serugunda & Jane Namaganda-Kiyimba & Mike Brian Ndawula, 2021. "Stochastic Planning and Operational Constraint Assessment of System-Customer Power Supply Risks in Electricity Distribution Networks," Sustainability, MDPI, vol. 13(17), pages 1-22, August.
    2. Rajabi, A. & Elphick, S. & David, J. & Pors, A. & Robinson, D., 2022. "Innovative approaches for assessing and enhancing the hosting capacity of PV-rich distribution networks: An Australian perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
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    Cited by:

    1. Andrei M. Tudose & Dorian O. Sidea & Irina I. Picioroaga & Nicolae Anton & Constantin Bulac, 2023. "Increasing Distributed Generation Hosting Capacity Based on a Sequential Optimization Approach Using an Improved Salp Swarm Algorithm," Mathematics, MDPI, vol. 12(1), pages 1-22, December.

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