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Power Resilience Enhancement of a Residential Electricity User Using Photovoltaics and a Battery Energy Storage System under Uncertainty Conditions

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  • Nallapaneni Manoj Kumar

    (School of Energy and Environment, City University of Hong Kong, Kowloon, Hong Kong)

  • Aritra Ghosh

    (Environment and Sustainability Institute, University of Exeter, Penryn, Cornwall TR10 9FE, UK
    College of Engineering, Mathematics and Physical Sciences, Renewable Energy, University of Exeter, Cornwall TR10 9FE, UK)

  • Shauhrat S. Chopra

    (School of Energy and Environment, City University of Hong Kong, Kowloon, Hong Kong)

Abstract

Even in today’s modern electric grid infrastructure, the uncertainty in the power supply is more often seen and is mainly due to power outages. The reasons for power outages might be any of the following: extreme weather events, asset failure, natural disasters, power surges, acute accidents, and even operational errors by the workforce. Such uncertain situations are permitting us to think of it as a resilience problem. In most cases, the power outages may last from a few minutes to a few weeks, depending on the nature of the resilience issue and the power supply system (PSS) configuration. Therefore, it is imperative to understand and improve the resilience of a PSS. In this paper, a four-component resilience framework is proposed to study and compare the resilience of three different PSS configurations of residential electricity users (REUs) considering the realistic power outage conditions in the humid subtropical ecosystem. The proposed PSS configurations contain electric grid (EG), natural gas power generator (NGPG), battery energy storage (BES), and photovoltaics (PV) as the assets. The three PSS configurations of a REUs are EG + BES, EG + NGPG + BES, and EG + PV + BES, respectively, and in these, one REU is only the consumer and the other two REUs are prosumers. By using the proposed framework, simulations are performed on the three PSS configuration to understand the increasing load resiliency in the event of a power outage. Also, a comparative techno-economic and life cycle based environmental assessment is performed to select the most resilient PSS configuration among the EG + BES, EG + NGPG + BES, and EG + PV + BES for an REU. From the results, it was established that EG + PV + BES configuration would enhance the power resilience of an REU better than the other two PSS configurations. Besides, it is also observed that the identified resilient PSS configuration is cost-effective and environmentally efficient. Overall, the proposed framework will enable the REUs to opt for the PSS configuration that is resilient and affordable.

Suggested Citation

  • Nallapaneni Manoj Kumar & Aritra Ghosh & Shauhrat S. Chopra, 2020. "Power Resilience Enhancement of a Residential Electricity User Using Photovoltaics and a Battery Energy Storage System under Uncertainty Conditions," Energies, MDPI, vol. 13(16), pages 1-26, August.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:16:p:4193-:d:398717
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    5. Juan Carlos Osorio-Aravena & Marina Frolova & Julio Terrados-Cepeda & Emilio Muñoz-Cerón, 2020. "Spatial Energy Planning: A Review," Energies, MDPI, vol. 13(20), pages 1-14, October.
    6. Adedayo Owosuhi & Yskandar Hamam & Josiah Munda, 2023. "Maximizing the Integration of a Battery Energy Storage System–Photovoltaic Distributed Generation for Power System Harmonic Reduction: An Overview," Energies, MDPI, vol. 16(6), pages 1-22, March.
    7. Olivia Francesca B. Agua & Robert Joseph A. Basilio & Mc Erschad D. Pabillan & Michael T. Castro & Philipp Blechinger & Joey D. Ocon, 2020. "Decentralized versus Clustered Microgrids: An Energy Systems Study for Reliable Off-Grid Electrification of Small Islands," Energies, MDPI, vol. 13(17), pages 1-22, August.
    8. Gao, Xue & Rai, Varun & Nemet, Gregory F., 2022. "The roles of learning mechanisms in services: Evidence from US residential solar installations," Energy Policy, Elsevier, vol. 167(C).
    9. Nallapaneni Manoj Kumar & Shauhrat S. Chopra & Maria Malvoni & Rajvikram Madurai Elavarasan & Narottam Das, 2020. "Solar Cell Technology Selection for a PV Leaf Based on Energy and Sustainability Indicators—A Case of a Multilayered Solar Photovoltaic Tree," Energies, MDPI, vol. 13(23), pages 1-26, December.
    10. Wang, Chong & Ju, Ping & Wu, Feng & Pan, Xueping & Wang, Zhaoyu, 2022. "A systematic review on power system resilience from the perspective of generation, network, and load," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    11. S. Ananda Kumar & M. S. P. Subathra & Nallapaneni Manoj Kumar & Maria Malvoni & N. J. Sairamya & S. Thomas George & Easter S. Suviseshamuthu & Shauhrat S. Chopra, 2020. "A Novel Islanding Detection Technique for a Resilient Photovoltaic-Based Distributed Power Generation System Using a Tunable-Q Wavelet Transform and an Artificial Neural Network," Energies, MDPI, vol. 13(16), pages 1-22, August.
    12. Gao, Xue & Rai, Varun, 2023. "Knowledge acquisition and innovation quality: The moderating role of geographical characteristics of technology," Technovation, Elsevier, vol. 125(C).
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    14. Hasan M. Salman & Jagadeesh Pasupuleti & Ahmad H. Sabry, 2023. "Review on Causes of Power Outages and Their Occurrence: Mitigation Strategies," Sustainability, MDPI, vol. 15(20), pages 1-34, October.

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