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Techno-Economic Analysis of a Residential PV-Storage Model in a Distribution Network

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  • Lue Xiong

    (School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh EH14 4AS, UK)

  • Mutasim Nour

    (School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh EH14 4AS, UK)

Abstract

The high penetration level of photovoltaic (PV) generation in distribution networks not only brings benefits like carbon savings, but also induces undesirable outcomes, like more harmonic components and voltage fluctuations. Driven by decreasing costs of energy storage, the focus of this paper is to investigate the feasibility of applying energy storage in the grid-connected PV system to mitigate its intermittency. Firstly, to appreciate the functionality of storage, a generic PV-battery-supercapacitor model was simulated in MATLAB/Simulink, and a flat load profile was obtained to enhance predictability from the network management point of view. However, the usage of supercapacitors at the residential level is limited, due to its high startup costs. Secondly, a detailed residential PV-battery model was implemented in the System Advisor Model (SAM) based on local data in Dubai. The optimal sizing of a battery system was determined by assessing two criteria: The number of excursions, and average target power, which are contradictory in optimization process. Statistical indicators show that a properly sized battery system can alleviate network fluctuations. The proposed sizing method can be also applied to other PV-storage systems. Finally, economic studies of PV-battery system demonstrated its competitiveness against standalone PV systems under appropriate tariff incentives.

Suggested Citation

  • Lue Xiong & Mutasim Nour, 2019. "Techno-Economic Analysis of a Residential PV-Storage Model in a Distribution Network," Energies, MDPI, vol. 12(16), pages 1-16, August.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:16:p:3062-:d:256023
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    References listed on IDEAS

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    Cited by:

    1. Qusay Hassan & Marek Jaszczur, 2021. "Self-Consumption and Self-Sufficiency Improvement for Photovoltaic System Integrated with Ultra-Supercapacitor," Energies, MDPI, vol. 14(23), pages 1-15, November.
    2. Lucrezia Manservigi & Mattia Cattozzo & Pier Ruggero Spina & Mauro Venturini & Hilal Bahlawan, 2020. "Optimal Management of the Energy Flows of Interconnected Residential Users," Energies, MDPI, vol. 13(6), pages 1-21, March.
    3. Yaroslav Shklyarskiy & Aleksandr Skamyin & Iaroslav Vladimirov & Farit Gazizov, 2020. "Distortion Load Identification Based on the Application of Compensating Devices," Energies, MDPI, vol. 13(6), pages 1-13, March.
    4. Gul, Eid & Baldinelli, Giorgio & Bartocci, Pietro & Bianchi, Francesco & Domenghini, Piergiovanni & Cotana, Franco & Wang, Jinwen, 2022. "A techno-economic analysis of a solar PV and DC battery storage system for a community energy sharing," Energy, Elsevier, vol. 244(PB).
    5. Eid Gul & Giorgio Baldinelli & Pietro Bartocci, 2022. "Energy Transition: Renewable Energy-Based Combined Heat and Power Optimization Model for Distributed Communities," Energies, MDPI, vol. 15(18), pages 1-18, September.

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