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Comprehensive Overview of Power System Flexibility during the Scenario of High Penetration of Renewable Energy in Utility Grid

Author

Listed:
  • Ekata Kaushik

    (School of Automation, Banasthali Vidyapith, Niwai 304022, India)

  • Vivek Prakash

    (School of Automation, Banasthali Vidyapith, Niwai 304022, India
    Faculty of Electrical Engineering and Computing, University of Zagreb, 10000 Zagreb, Croatia)

  • Om Prakash Mahela

    (Power System Planning Division, Rajasthan Rajya Vidyut Prasaran Nigam Ltd., Jaipur 302005, India)

  • Baseem Khan

    (Department of Electrical Engineering, Hawassa University, Awassa P.O. Box 5, Ethiopia)

  • Adel El-Shahat

    (Energy Technology Program, School of Engineering Technology, Purdue University, 610 Purdue Mall, West Lafayette, IN 47907, USA)

  • Almoataz Y. Abdelaziz

    (Faculty of Engineering and Technology, Future University in Egypt, S Teseen, New Cairo 1, Cairo 11835, Egypt)

Abstract

Increased deployment of variable renewable energy (VRE) has posed significant challenges to ensure reliable power system operations. As VRE penetration increases beyond 80%, the power system will require long duration energy storage and flexibility. Detailed uncertainty analysis, identifying challenges, and opportunities to provide sufficient flexibility will help to achieve smooth operations of power system networks during the scenario of high share of VRE sources. Hence, this paper presents a comprehensive overview of the power system flexibility (PSF). The intention of this review is to provide a wide spectrum of power system flexibility, PSF drivers, PSF resources, PSF provisions, methods used for assessment of flexibility and flexibility planning to the researchers, academicians, power system planners, and engineers working on the integration of VRE into the utility grid to achieve high share of these sources. More than 100 research papers on the basic concepts of PSF, drivers of the PSF, resources of PSF, requirement of the PSF, metrics used for assessment of the flexibility, methods and approaches used for measurement of flexibility level in network of the power system, and methods used for the PSF planning and flexibility provisions have been thoroughly reviewed and classified for quick reference considering different dimensions.

Suggested Citation

  • Ekata Kaushik & Vivek Prakash & Om Prakash Mahela & Baseem Khan & Adel El-Shahat & Almoataz Y. Abdelaziz, 2022. "Comprehensive Overview of Power System Flexibility during the Scenario of High Penetration of Renewable Energy in Utility Grid," Energies, MDPI, vol. 15(2), pages 1-29, January.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:2:p:516-:d:722682
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    Citations

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    Cited by:

    1. Richard P. van Leeuwen & Annelies E. Boerman & Edmund W. Schaefer & Gerwin Hoogsteen & Yashar S. Hajimolana, 2022. "Model Supported Business Case Scenario Analysis for Decentral Hydrogen Conversion, Storage and Consumption within Energy Hubs," Energies, MDPI, vol. 15(6), pages 1-22, March.
    2. Panagiotis Fragkos & Francesco Dalla Longa & Eleftheria Zisarou & Bob van der Zwaan & Anastasis Giannousakis & Amir Fattahi, 2023. "Exploring Model-Based Decarbonization and Energy Efficiency Scenarios with PROMETHEUS and TIAM-ECN," Energies, MDPI, vol. 16(18), pages 1-22, September.
    3. 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.
    4. Feras Alasali & Mohammad Salameh & Ali Semrin & Khaled Nusair & Naser El-Naily & William Holderbaum, 2022. "Optimal Controllers and Configurations of 100% PV and Energy Storage Systems for a Microgrid: The Case Study of a Small Town in Jordan," Sustainability, MDPI, vol. 14(13), pages 1-20, July.
    5. Stefano Barberis & Simone Maccarini & Syed Safeer Mehdi Shamsi & Alberto Traverso, 2023. "Untapping Industrial Flexibility via Waste Heat-Driven Pumped Thermal Energy Storage Systems," Energies, MDPI, vol. 16(17), pages 1-24, August.
    6. Omid Pedram & Ehsan Asadi & Behrang Chenari & Pedro Moura & Manuel Gameiro da Silva, 2023. "A Review of Methodologies for Managing Energy Flexibility Resources in Buildings," Energies, MDPI, vol. 16(17), pages 1-30, August.
    7. Enas Taha Sayed & Abdul Ghani Olabi & Abdul Hai Alami & Ali Radwan & Ayman Mdallal & Ahmed Rezk & Mohammad Ali Abdelkareem, 2023. "Renewable Energy and Energy Storage Systems," Energies, MDPI, vol. 16(3), pages 1-26, February.
    8. Shuangshuang Zhou & Juan Yang & Shiwei Yu, 2022. "A Stochastic Multi-Objective Model for China’s Provincial Generation-Mix Planning: Considering Variable Renewable and Transmission Capacity," Energies, MDPI, vol. 15(8), pages 1-26, April.
    9. Kalyani Makarand Kurundkar & Geetanjali Abhijit Vaidya, 2023. "Stochastic Security-Constrained Economic Dispatch of Load-Following and Contingency Reserves Ancillary Service Using a Grid-Connected Microgrid during Uncertainty," Energies, MDPI, vol. 16(6), pages 1-25, March.
    10. Luis Fernando Grisales-Noreña & Oscar Danilo Montoya & Carlos Andres Ramos-Paja, 2022. "Optimal Location and Operation of PV Sources in DC Grids to Reduce Annual Operating Costs While Considering Variable Power Demand and Generation," Mathematics, MDPI, vol. 10(23), pages 1-17, November.
    11. Karimi, Hamid & Jadid, Shahram, 2023. "Multi-layer energy management of smart integrated-energy microgrid systems considering generation and demand-side flexibility," Applied Energy, Elsevier, vol. 339(C).
    12. Victor-Gallardo, Luis & Quirós-Tortós, Jairo, 2023. "Techno-economic comparison of centralized and distributed power generation to support large-scale transport electrification in Costa Rica," Transport Policy, Elsevier, vol. 131(C), pages 120-138.
    13. Gharibvand, Hossein & Gharehpetian, G.B. & Anvari-Moghaddam, A., 2024. "A survey on microgrid flexibility resources, evaluation metrics and energy storage effects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 201(C).
    14. Siripha Junlakarn & Radhanon Diewvilai & Kulyos Audomvongseree, 2022. "Stochastic Modeling of Renewable Energy Sources for Capacity Credit Evaluation," Energies, MDPI, vol. 15(14), pages 1-27, July.

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