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Energy Storage System Sizing Based on a Reliability Assessment of Power Systems Integrated with Wind Power

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  • Nian Shi

    (State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Yi Luo

    (State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074, China)

Abstract

The available capacity is a major factor that influences the reliability contribution of energy storage in power systems integrated with wind power. This paper presents the capacity value of the energy storage metrics to quantitatively estimate the contribution of energy storage to the generation adequacy. A method in accordance with EFC approach has been introduced to model the capacity value of energy storage. The adequacy-oriented model of the energy storage available capacity is proposed for the energy storage system, regarding the roles of the key parameters for the CVES analysis. The case study results indicate that the capacity value of energy storage quantitatively weigh the contribution of the energy storage to system reliability. The sensitivity analysis of the impact factors for the CVES is conducted.

Suggested Citation

  • Nian Shi & Yi Luo, 2017. "Energy Storage System Sizing Based on a Reliability Assessment of Power Systems Integrated with Wind Power," Sustainability, MDPI, vol. 9(3), pages 1-20, March.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:3:p:395-:d:92409
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    References listed on IDEAS

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    1. Handschy, Mark A. & Rose, Stephen & Apt, Jay, 2017. "Is it always windy somewhere? Occurrence of low-wind-power events over large areas," Renewable Energy, Elsevier, vol. 101(C), pages 1124-1130.
    2. Marzband, Mousa & Ghadimi, Majid & Sumper, Andreas & Domínguez-García, José Luis, 2014. "Experimental validation of a real-time energy management system using multi-period gravitational search algorithm for microgrids in islanded mode," Applied Energy, Elsevier, vol. 128(C), pages 164-174.
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    4. Marzband, Mousa & Sumper, Andreas & Ruiz-Álvarez, Albert & Domínguez-García, José Luis & Tomoiagă, Bogdan, 2013. "Experimental evaluation of a real time energy management system for stand-alone microgrids in day-ahead markets," Applied Energy, Elsevier, vol. 106(C), pages 365-376.
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    Cited by:

    1. Wojciech Kosman & Andrzej Rusin, 2020. "The Application of Molten Salt Energy Storage to Advance the Transition from Coal to Green Energy Power Systems," Energies, MDPI, vol. 13(9), pages 1-18, May.
    2. Jose L. López-Prado & Jorge I. Vélez & Guisselle A. Garcia-Llinás, 2020. "Reliability Evaluation in Distribution Networks with Microgrids: Review and Classification of the Literature," Energies, MDPI, vol. 13(23), pages 1-31, November.
    3. Muhammad Jabir & Hazlee Azil Illias & Safdar Raza & Hazlie Mokhlis, 2017. "Intermittent Smoothing Approaches for Wind Power Output: A Review," Energies, MDPI, vol. 10(10), pages 1-23, October.
    4. Danyang Guo & Jilai Yu & Mingfei Ban, 2018. "Security-Constrained Unit Commitment Considering Differentiated Regional Air Pollutant Intensity," Sustainability, MDPI, vol. 10(5), pages 1-27, May.
    5. DaneshvarDehnavi, Saeed & Negri, Cesar A. & Giesselmann, Michael G. & Bayne, Stephen B. & Wollenberg, Bruce, 2021. "Can 100% renewable power system be successfully built?," Renewable Energy, Elsevier, vol. 177(C), pages 715-722.
    6. Binh Do & Thai Tran & Ninh Nguyen, 2021. "Renewable Energy Integration in Vietnam’s Power System: Generation Adequacy Assessment and Strategic Implications," Energies, MDPI, vol. 14(12), pages 1-21, June.
    7. Qingshan Xu & Yifan Ding & Aixia Zheng, 2017. "An Optimal Dispatch Model of Wind-Integrated Power System Considering Demand Response and Reliability," Sustainability, MDPI, vol. 9(5), pages 1-20, May.
    8. Ning Liang & Changhong Deng & Yahong Chen & Weiwei Yao & Dinglin Li & Man Chen & Peng Peng, 2018. "Two-Stage Coordinate Optimal Scheduling of Seawater Pumped Storage in Active Distribution Networks," Sustainability, MDPI, vol. 10(6), pages 1-15, June.

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