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Evaluate the capacity of electricity-driven water facilities in small communities as virtual energy storage

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  • Goodarzi, Mostafa
  • Li, Qifeng

Abstract

In small communities, such as small islands, campuses of universities/industrial parks/lab facilities, and remote villages/cities, the Water-Energy Nexus (WEN) operators generally need to purchase electricity from the power grid to meet a portion of their power demand. The WEN of these communities creates new opportunities of providing virtual energy storage (VES) and virtual power plant (VPP) services to the power grid by properly controlling their electricity-driven water facilities (EDWF). This paper investigates the capacity of EDWFs in small communities as VES and VPP. Small communities in four different types of areas, e.g., island, desert, urban, and rural, are studied based on their geographical specifications, to evaluate and compare the capabilities of their WENs as VES and VPP respectively. WENs with high penetration of photovoltaic resources are considered, for which battery energy storage systems (BESS) are needed. An optimization approach of operating the EDWFs as VES is proposed to reduce the required size of BESSs. The state-of-the-art convex technologies are adopted to reduce the computational burden of the developed optimization models which are large-scale mixed-integer nonlinear programming problems. Besides, the WEN of small communities is modeled as a VPP to provide spinning reserve energy for the power grid in emergency conditions. This paper also describes how the EDWFs can be controlled to serve as a virtual system and provides substantial benefits for the small communities. Numerical results validate that it is economically beneficial to operate the WENs of small communities as VES or VPP for renewable energy management of power grids.

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  • Goodarzi, Mostafa & Li, Qifeng, 2022. "Evaluate the capacity of electricity-driven water facilities in small communities as virtual energy storage," Applied Energy, Elsevier, vol. 309(C).
    • Handle: RePEc:eee:appene:v:309:y:2022:i:c:s0306261921015968
    DOI: 10.1016/j.apenergy.2021.118349
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    2. Sharma, Santosh & Li, Qifeng, 2024. "Decentralized optimization of energy-water nexus based on a mixed-integer boundary compatible algorithm," Applied Energy, Elsevier, vol. 359(C).
    3. Hengyu Liu & Qingqi Zhao & Yang Liu & Zuoxia Xing & Dawei Hu & Pengfei Zhang & Zhi Zhang & Jiazheng Sun, 2023. "A Multi-Subject Game-Based Operation Strategy for VPPs Integrating Wind-Solar-Storage," Sustainability, MDPI, vol. 15(7), pages 1-18, April.
    4. Yang, Yesen & Li, Zhengmao & Mandapaka, Pradeep V. & Lo, Edmond Y.M., 2023. "Risk-averse restoration of coupled power and water systems with small pumped-hydro storage and stochastic rooftop renewables," Applied Energy, Elsevier, vol. 339(C).
    5. Bhatraj, Anudeep & Salomons, Elad & Housh, Mashor, 2024. "An optimization model for simultaneous design and operation of renewable energy microgrids integrated with water supply systems," Applied Energy, Elsevier, vol. 361(C).
    6. Mahyar Alinejad & Omid Rezaei & Reza Habibifar & Mahdi Azimian, 2022. "A Charge/Discharge Plan for Electric Vehicles in an Intelligent Parking Lot Considering Destructive Random Decisions, and V2G and V2V Energy Transfer Modes," Sustainability, MDPI, vol. 14(19), pages 1-22, October.

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