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Optimal market participation of VPPs in TSO-DSO coordinated energy and flexibility markets

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  • Jiang, Tao
  • Wu, Chenghao
  • Huang, Tao
  • Zhang, Rufeng
  • Li, Xue

Abstract

An insufficient coordination between transmission system operator (TSO) and distribution system operator (DSO) can hinder the benefits of the virtual power plant (VPP), such as providing effective grid services, participation to the markets, etc., eventually resulting reduced system economy and flexibility. To address the issue, this work develops an optimal market model for VPPs when participating in both TSO-DSO coordinated energy and flexibility markets considering the renewables uncertainties. More specifically, the optimal participation model for VPPs consists of three sub-problems: market clearing at the transmission level directed by the TSO, market clearing at the distribution level managed by the DSO, and the optimization of VPPs operation strategies. Additionally, a distributed solution algorithm, alternating direction method of multipliers with self-adaptive penalty parameter (adaptive-ADMM), is employed to solve the proposed model and preserve multiple stakeholders' data privacy. The T30-D33 and T118-D85 + D2 × 69 test systems are adopted to evaluate the performance of the proposed model and solution method, the simulation results show the proposed model can reduce the operation cost for TSO, DSO, and VPPs, and the adaptive-ADMM can reduce the computational time by a 44.05%.

Suggested Citation

  • Jiang, Tao & Wu, Chenghao & Huang, Tao & Zhang, Rufeng & Li, Xue, 2024. "Optimal market participation of VPPs in TSO-DSO coordinated energy and flexibility markets," Applied Energy, Elsevier, vol. 360(C).
  • Handle: RePEc:eee:appene:v:360:y:2024:i:c:s0306261924001132
    DOI: 10.1016/j.apenergy.2024.122730
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    References listed on IDEAS

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    1. Alabi, Tobi Michael & Lu, Lin & Yang, Zaiyue, 2022. "Data-driven optimal scheduling of multi-energy system virtual power plant (MEVPP) incorporating carbon capture system (CCS), electric vehicle flexibility, and clean energy marketer (CEM) strategy," Applied Energy, Elsevier, vol. 314(C).
    2. Ju, Liwei & Yin, Zhe & Lu, Xiaolong & Yang, Shenbo & Li, Peng & Rao, Rao & Tan, Zhongfu, 2022. "A Tri-dimensional Equilibrium-based stochastic optimal dispatching model for a novel virtual power plant incorporating carbon Capture, Power-to-Gas and electric vehicle aggregator," Applied Energy, Elsevier, vol. 324(C).
    3. Chen, Houhe & Wang, Di & Zhang, Rufeng & Jiang, Tao & Li, Xue, 2022. "Optimal participation of ADN in energy and reserve markets considering TSO-DSO interface and DERs uncertainties," Applied Energy, Elsevier, vol. 308(C).
    4. Mohan, Vivek & Singh, Jai Govind & Ongsakul, Weerakorn, 2015. "An efficient two stage stochastic optimal energy and reserve management in a microgrid," Applied Energy, Elsevier, vol. 160(C), pages 28-38.
    5. Jiang, Tao & Wu, Chenghao & Zhang, Rufeng & Li, Xue & Li, Fangxing, 2022. "Risk-averse TSO-DSOs coordinated distributed dispatching considering renewable energy and demand response uncertainties," Applied Energy, Elsevier, vol. 327(C).
    6. Wang, Jianxiao & Zhong, Haiwang & Tang, Wenyuan & Rajagopal, Ram & Xia, Qing & Kang, Chongqing & Wang, Yi, 2017. "Optimal bidding strategy for microgrids in joint energy and ancillary service markets considering flexible ramping products," Applied Energy, Elsevier, vol. 205(C), pages 294-303.
    7. Gerard, Helena & Rivero Puente, Enrique Israel & Six, Daan, 2018. "Coordination between transmission and distribution system operators in the electricity sector: A conceptual framework," Utilities Policy, Elsevier, vol. 50(C), pages 40-48.
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