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Power System Stability Analysis of the Sicilian Network in the 2050 OSMOSE Project Scenario

Author

Listed:
  • James Amankwah Adu

    (Department of Electrical, Electronic and Information Engineering, University of Bologna, 40126 Bologna, Italy)

  • Alberto Berizzi

    (Department of Energy, Politecnico di Milano, 20156 Milan, Italy)

  • Francesco Conte

    (Department of Electrical, Electronics and Telecommunication Engineering and Naval Architecture, University of Genoa, 16145 Genoa, Italy)

  • Fabio D’Agostino

    (Department of Electrical, Electronics and Telecommunication Engineering and Naval Architecture, University of Genoa, 16145 Genoa, Italy)

  • Valentin Ilea

    (Department of Energy, Politecnico di Milano, 20156 Milan, Italy)

  • Fabio Napolitano

    (Department of Electrical, Electronic and Information Engineering, University of Bologna, 40126 Bologna, Italy)

  • Tadeo Pontecorvo

    (Department of Electrical, Electronic and Information Engineering, University of Bologna, 40126 Bologna, Italy)

  • Andrea Vicario

    (Department of Energy, Politecnico di Milano, 20156 Milan, Italy)

Abstract

This paper summarizes the results of a power system stability analysis realized for the EU project OSMOSE. The case study is the electrical network of Sicily, one of the two main islands of Italy, in a scenario forecasted for 2050, with a large penetration of renewable generation. The objective is to establish if angle and voltage stabilities can be guaranteed despite the loss of the inertia and the regulation services provided today by traditional thermal power plants. To replace these resources, new flexibility services, potentially provided by renewable energy power plants, battery energy storage systems, and flexible loads, are taken into account. A highly detailed dynamical model of the electrical grid, provided by the same transmission system operator who manages the system, is modified to fit with the 2050 scenario and integrated with the models of the mentioned flexibility services. Thanks to this dynamic model, an extensive simulation analysis on large and small perturbation angle stability and voltage stability is carried out. Results show that stability can be guaranteed, but the use of a suitable combination of the new flexibility services is mandatory.

Suggested Citation

  • James Amankwah Adu & Alberto Berizzi & Francesco Conte & Fabio D’Agostino & Valentin Ilea & Fabio Napolitano & Tadeo Pontecorvo & Andrea Vicario, 2022. "Power System Stability Analysis of the Sicilian Network in the 2050 OSMOSE Project Scenario," Energies, MDPI, vol. 15(10), pages 1-33, May.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:10:p:3517-:d:813260
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    References listed on IDEAS

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    1. Yien Xu & Pei Chen & Xinsong Zhang & Dejian Yang, 2021. "An Improved Droop Control Scheme of a Doubly-Fed Induction Generator for Various Disturbances," Energies, MDPI, vol. 14(23), pages 1-15, November.
    2. Jing Wang & Harsha Padullaparti & Fei Ding & Murali Baggu & Martha Symko-Davies, 2021. "Voltage Regulation Performance Evaluation of Distributed Energy Resource Management via Advanced Hardware-in-the-Loop Simulation," Energies, MDPI, vol. 14(20), pages 1-26, October.
    3. Zhao, Haoran & Wu, Qiuwei & Hu, Shuju & Xu, Honghua & Rasmussen, Claus Nygaard, 2015. "Review of energy storage system for wind power integration support," Applied Energy, Elsevier, vol. 137(C), pages 545-553.
    4. Zhenhuan Ding & Xiaoge Huang & Zhao Liu, 2022. "Active Exploration by Chance-Constrained Optimization for Voltage Regulation with Reinforcement Learning," Energies, MDPI, vol. 15(2), pages 1-17, January.
    5. Heggarty, Thomas & Bourmaud, Jean-Yves & Girard, Robin & Kariniotakis, Georges, 2020. "Quantifying power system flexibility provision," Applied Energy, Elsevier, vol. 279(C).
    6. Akinyemi Ayodeji Stephen & Kabeya Musasa & Innocent Ewean Davidson, 2021. "Voltage Rise Regulation with a Grid Connected Solar Photovoltaic System," Energies, MDPI, vol. 14(22), pages 1-32, November.
    7. Agata Szultka & Seweryn Szultka & Stanislaw Czapp & Robert Karolak & Marcin Andrzejewski & Jacek Kapitaniak & Marcin Kulling & Jan Bonk, 2022. "Voltage Profiles Improvement in a Power Network with PV Energy Sources—Results of a Voltage Regulator Implementation," Energies, MDPI, vol. 15(3), pages 1-14, January.
    8. Santiago Bañales & Raquel Dormido & Natividad Duro, 2021. "Smart Meters Time Series Clustering for Demand Response Applications in the Context of High Penetration of Renewable Energy Resources," Energies, MDPI, vol. 14(12), pages 1-22, June.
    9. Jun Wang & Yien Xu & Xiaoxin Wu & Jiejie Huang & Xinsong Zhang & Hongliang Yuan, 2021. "Enhanced Inertial Response Capability of a Variable Wind Energy Conversion System," Energies, MDPI, vol. 14(23), pages 1-13, December.
    10. Wenying Li & Ming Tang & Xinzhen Zhang & Danhui Gao & Jian Wang, 2021. "Operation of Distributed Battery Considering Demand Response Using Deep Reinforcement Learning in Grid Edge Control," Energies, MDPI, vol. 14(22), pages 1-18, November.
    11. Valentin Ilea & Cristian Bovo & Davide Falabretti & Marco Merlo & Carlo Arrigoni & Roberto Bonera & Marco Rodolfi, 2020. "Voltage Control Methodologies in Active Distribution Networks," Energies, MDPI, vol. 13(12), pages 1-32, June.
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