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Addressing Abrupt PV Disturbances, and Mitigating Net Load Profile’s Ramp and Peak Demands, Using Distributed Storage Devices

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  • Roshan Sharma

    (Department of Electrical and Computer Engineering, Mississippi State University, Starkville, MS 39762, USA)

  • Masoud Karimi-Ghartemani

    (Department of Electrical and Computer Engineering, Mississippi State University, Starkville, MS 39762, USA)

Abstract

At high penetration level of photovoltaic (PV) generators, their abrupt disturbances (caused by moving clouds) cause voltage and frequency perturbations and increase system losses. Meanwhile, the daily irradiation profile increases the slope in the net-load profile, for example, California duck curve, which imposes the challenge of quickly bringing on-line conventional generators in the early evening hours. Accordingly, this paper presents an approach to achieve two objectives: (1) address abrupt disturbances caused by PV generators, and (2) shape the net load profile. The approach is based on employing battery energy storage (BES) systems coupled with PV generators and equipped with proper controls. The proposed BES addresses these two issues by realizing flexible power ramp-up and ramp-down rates by the combined PV and BES. This paper presents the principles, modeling and control design aspects of the proposed system. A hybrid dc/ac study system is simulated and the effectiveness of the proposed BES in reducing the impacts of disturbances on both the dc and ac subsystems is verified. It is then shown that the proposed PV-BES modifies the daily load profile to mitigate the required challenge for quickly bringing on-line synchronous generators.

Suggested Citation

  • Roshan Sharma & Masoud Karimi-Ghartemani, 2020. "Addressing Abrupt PV Disturbances, and Mitigating Net Load Profile’s Ramp and Peak Demands, Using Distributed Storage Devices," Energies, MDPI, vol. 13(5), pages 1-21, February.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:5:p:1024-:d:325002
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    References listed on IDEAS

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    1. Gomez-Gonzalez, M. & Hernandez, J.C. & Vera, D. & Jurado, F., 2020. "Optimal sizing and power schedule in PV household-prosumers for improving PV self-consumption and providing frequency containment reserve," Energy, Elsevier, vol. 191(C).
    2. Hernández, J.C. & Sanchez-Sutil, F. & Muñoz-Rodríguez, F.J., 2019. "Design criteria for the optimal sizing of a hybrid energy storage system in PV household-prosumers to maximize self-consumption and self-sufficiency," Energy, Elsevier, vol. 186(C).
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    Cited by:

    1. Salem Batiyah & Roshan Sharma & Sherif Abdelwahed & Waleed Alhosaini & Obaid Aldosari, 2022. "Predictive Control of PV/Battery System under Load and Environmental Uncertainty," Energies, MDPI, vol. 15(11), pages 1-16, June.
    2. Marco Pasetti, 2021. "Assessing the Effectiveness of the Energy Storage Rule-Based Control in Reducing the Power Flow Uncertainties Caused by Distributed Photovoltaic Systems," Energies, MDPI, vol. 14(8), pages 1-25, April.
    3. Handrea Bernando Tambunan & Dzikri Firmansyah Hakam & Iswan Prahastono & Anita Pharmatrisanti & Andreas Putro Purnomoadi & Siti Aisyah & Yonny Wicaksono & I Gede Ryan Sandy, 2020. "The Challenges and Opportunities of Renewable Energy Source (RES) Penetration in Indonesia: Case Study of Java-Bali Power System," Energies, MDPI, vol. 13(22), pages 1-22, November.

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