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The effect of distribution network on the annual energy yield and economic performance of residential PV systems under high penetration

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  • Pillai, Gobind
  • Putrus, Ghanim
  • Pearsall, Nicola
  • Georgitsioti, Tatiani

Abstract

Technological advances, environmental awareness and, in several countries (including the UK), financial incentives lead to the adoption of PV (photovoltaic) systems. Economic viability, an important consideration for investment in residential PV, is dependent on the annual energy yield which is affected by distribution network based factors such as point of connection to network, network hosting capacity, load profiles etc. in addition to the climate of the location. A computational algorithm easy on resources is developed in this work to evaluate the effects of distribution network on the annual energy yield of residential PV systems under scenarios of increasing PV penetration. A case study was conducted for residential PV systems in Newcastle upon Tyne with a generic UK distribution network model. Results identified penetration levels at which PV generation curtailment would occur as a consequence of network voltage rise beyond grid limits and the variation in the percentage of annual energy yield curtailed among the systems connected to the network. The volatility of economic performance of the systems depending on its location within the network is also analysed. The study also looked at the impact of the resolution of PV generation profiles on energy yield estimates and consequently economic performance.

Suggested Citation

  • Pillai, Gobind & Putrus, Ghanim & Pearsall, Nicola & Georgitsioti, Tatiani, 2017. "The effect of distribution network on the annual energy yield and economic performance of residential PV systems under high penetration," Renewable Energy, Elsevier, vol. 108(C), pages 144-155.
    • Handle: RePEc:eee:renene:v:108:y:2017:i:c:p:144-155
    DOI: 10.1016/j.renene.2017.02.047
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    References listed on IDEAS

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    Cited by:

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    2. Huang, Bin & Xing, Ke & Pullen, Stephen & Liao, Lida & Huang, Kan, 2020. "Ecological–economic assessment of renewable energy deployment in sustainable built environment," Renewable Energy, Elsevier, vol. 161(C), pages 1328-1340.
    3. Sahouane, Nordine & Dabou, Rachid & Ziane, Abderrezzaq & Neçaibia, Ammar & Bouraiou, Ahmed & Rouabhia, Abdelkrim & Mohammed, Blal, 2019. "Energy and economic efficiency performance assessment of a 28 kWp photovoltaic grid-connected system under desertic weather conditions in Algerian Sahara," Renewable Energy, Elsevier, vol. 143(C), pages 1318-1330.
    4. Li, Yanxue & Gao, Weijun & Ruan, Yingjun, 2018. "Performance investigation of grid-connected residential PV-battery system focusing on enhancing self-consumption and peak shaving in Kyushu, Japan," Renewable Energy, Elsevier, vol. 127(C), pages 514-523.
    5. Paladin, Andrea & Das, Ridoy & Wang, Yue & Ali, Zunaib & Kotter, Richard & Putrus, Ghanim & Turri, Roberto, 2021. "Micro market based optimisation framework for decentralised management of distributed flexibility assets," Renewable Energy, Elsevier, vol. 163(C), pages 1595-1611.
    6. Lin He & Chang-Ling Li & Qing-Yun Nie & Yan Men & Hai Shao & Jiang Zhu, 2017. "Core Abilities Evaluation Index System Exploration and Empirical Study on Distributed PV-Generation Projects," Energies, MDPI, vol. 10(12), pages 1-18, December.

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