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Advanced Monitoring and Control System for Virtual Power Plants for Enabling Customer Engagement and Market Participation

Author

Listed:
  • Behnaz Behi

    (Discipline of Electrical Engineering, Energy and Physics, Murdoch University, Perth, WA 6150, Australia)

  • Ali Arefi

    (Discipline of Electrical Engineering, Energy and Physics, Murdoch University, Perth, WA 6150, Australia)

  • Philip Jennings

    (Discipline of Electrical Engineering, Energy and Physics, Murdoch University, Perth, WA 6150, Australia)

  • Arian Gorjy

    (Yaran Property Group, Perth, WA 6151, Australia)

  • Almantas Pivrikas

    (Discipline of Electrical Engineering, Energy and Physics, Murdoch University, Perth, WA 6150, Australia)

Abstract

To integrate large-scale renewable energy into energy systems, an effective participation from private investors and active customer engagement are essential. Virtual power plants (VPPs) are a very promising approach. To realize this engagement, an efficient monitoring and control system needs to be implemented for the VPP to be flexible, scalable, secure, and cost-effective. In this paper, a realistic VPP in Western Australia is studied, comprising 67 dwellings, including a 810 kW rooftop solar photovoltaic (PV) system, a 700 kWh vanadium redox flow battery (VRFB), a heat pump hot water system (HWS), an electric vehicle (EV) charging station, and demand management mechanisms. The practical and detailed concept design of the monitoring and control system for EEBUS-enabled appliances, and also for the PV and VRFB system, with smart inverters, is proposed. In addition, a practical fog-based storage and computing system is developed to enable the VPP owner to manage the PV, VRFB, and EV charging station for maximizing the benefit to the customers and the VPP owner. Further, the proposed cloud-based applications enable customers to participate in gamified demand response programs for increasing the level of their engagement while satisfying their comfort level. All proposed systems and architecture in this paper have the capability of being implemented fully and relevant references for practical devices are given where necessary.

Suggested Citation

  • Behnaz Behi & Ali Arefi & Philip Jennings & Arian Gorjy & Almantas Pivrikas, 2021. "Advanced Monitoring and Control System for Virtual Power Plants for Enabling Customer Engagement and Market Participation," Energies, MDPI, vol. 14(4), pages 1-19, February.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:4:p:1113-:d:502318
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    References listed on IDEAS

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    2. Behnaz Behi & Ali Baniasadi & Ali Arefi & Arian Gorjy & Philip Jennings & Almantas Pivrikas, 2020. "Cost–Benefit Analysis of a Virtual Power Plant Including Solar PV, Flow Battery, Heat Pump, and Demand Management: A Western Australian Case Study," Energies, MDPI, vol. 13(10), pages 1-24, May.
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    Cited by:

    1. Francesco Gulotta & Edoardo Daccò & Alessandro Bosisio & Davide Falabretti, 2023. "Opening of Ancillary Service Markets to Distributed Energy Resources: A Review," Energies, MDPI, vol. 16(6), pages 1-25, March.
    2. Khalil Gholami & Behnaz Behi & Ali Arefi & Philip Jennings, 2022. "Grid-Forming Virtual Power Plants: Concepts, Technologies and Advantages," Energies, MDPI, vol. 15(23), pages 1-26, November.
    3. Behnaz Behi & Philip Jennings & Ali Arefi & Ali Azizivahed & Almantas Pivrikas & S. M. Muyeen & Arian Gorjy, 2023. "A Robust Participation in the Load Following Ancillary Service and Energy Markets for a Virtual Power Plant in Western Australia," Energies, MDPI, vol. 16(7), pages 1-20, March.
    4. Bianca Goia & Tudor Cioara & Ionut Anghel, 2022. "Virtual Power Plant Optimization in Smart Grids: A Narrative Review," Future Internet, MDPI, vol. 14(5), pages 1-22, April.

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