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Flexibility Management with Virtual Batteries of Thermostatically Controlled Loads: Real-Time Control System and Potential in Spain

Author

Listed:
  • Alejandro Martín-Crespo

    (Centro Tecnológico CARTIF, Parque Tecnológico de Boecillo 305, 47151 Boecillo, Spain)

  • Sergio Saludes-Rodil

    (Centro Tecnológico CARTIF, Parque Tecnológico de Boecillo 305, 47151 Boecillo, Spain)

  • Enrique Baeyens

    (Instituto de las Tecnologías Avanzadas de la Producción, Universidad de Valladolid, Paseo del Cauce 59, 47011 Valladolid, Spain)

Abstract

Load flexibility management is a promising approach to face the problem of balancing generation and demand in electrical grids. This problem is becoming increasingly difficult due to the variability of renewable energies. Thermostatically-controlled loads can be aggregated and managed by a virtual battery, and they provide a cost-effective and efficient alternative to physical storage systems to mitigate the inherent variability of renewable energy sources. However virtual batteries require that an accurate control system is capable of tracking frequency regulation signals with minimal error. A real-time control system allowing virtual batteries to accurately track frequency or power signals is developed. The performance of this controller is validated for a virtual battery composed of 1000 thermostatically-controlled loads. Using virtual batteries equipped with the developed controller, a study focused on residential thermostatically-controlled loads in Spain is performed. The results of the study quantify the potential of this technology in a country with different climate areas and provides insight about the feasibility of virtual batteries as enablers of electrical systems with high levels of penetration of renewable energy sources.

Suggested Citation

  • Alejandro Martín-Crespo & Sergio Saludes-Rodil & Enrique Baeyens, 2021. "Flexibility Management with Virtual Batteries of Thermostatically Controlled Loads: Real-Time Control System and Potential in Spain," Energies, MDPI, vol. 14(6), pages 1-18, March.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:6:p:1711-:d:520408
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    References listed on IDEAS

    as
    1. Cheng, Meng & Sami, Saif Sabah & Wu, Jianzhong, 2017. "Benefits of using virtual energy storage system for power system frequency response," Applied Energy, Elsevier, vol. 194(C), pages 376-385.
    2. Hao, He & Sanandaji, Borhan M. & Poolla, Kameshwar & Vincent, Tyrone L., 2015. "Potentials and economics of residential thermal loads providing regulation reserve," Energy Policy, Elsevier, vol. 79(C), pages 115-126.
    3. Xia, Mingchao & Song, Yuguang & Chen, Qifang, 2019. "Hierarchical control of thermostatically controlled loads oriented smart buildings," Applied Energy, Elsevier, vol. 254(C).
    4. Ding, Yi & Cui, Wenqi & Zhang, Shujun & Hui, Hongxun & Qiu, Yiwei & Song, Yonghua, 2019. "Multi-state operating reserve model of aggregate thermostatically-controlled-loads for power system short-term reliability evaluation," Applied Energy, Elsevier, vol. 241(C), pages 46-58.
    5. Lakshmanan, Venkatachalam & Marinelli, Mattia & Kosek, Anna M. & Nørgård, Per B. & Bindner, Henrik W., 2016. "Impact of thermostatically controlled loads' demand response activation on aggregated power: A field experiment," Energy, Elsevier, vol. 94(C), pages 705-714.
    6. Gils, Hans Christian, 2016. "Economic potential for future demand response in Germany – Modeling approach and case study," Applied Energy, Elsevier, vol. 162(C), pages 401-415.
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