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Two-Layer Optimization Strategy of Electric Vehicle and Air Conditioning Load Considering the Benefit of Peak-to-Valley Smoothing

Author

Listed:
  • Sichen Shi

    (College of Electrical Engineering, Sichuan University, Chengdu 610065, China)

  • Peiyi Wang

    (College of Electrical Engineering, Sichuan University, Chengdu 610065, China)

  • Zixuan Zheng

    (College of Electrical Engineering, Sichuan University, Chengdu 610065, China)

  • Shu Zhang

    (College of Electrical Engineering, Sichuan University, Chengdu 610065, China)

Abstract

To satisfy the interests of multiple agents and those of comprehensive indicators such as peak-to-valley differences and load fluctuations occurring on the network side, this paper presents a flexible load demand-side response optimization method that considers the benefits of peak-to-valley smoothing. First, load aggregation modelling of air conditioning and electric vehicles was conducted, and the complementarity of the power consumption behavior of different types of flexible loads was used to improve the responsiveness of the load aggregator. Second, considering demand-side responses and taking into account the interests of both supply and demand, the load fluctuation and peak-to-valley difference on the network side are reduced, and a flexible load double-layer optimization model incorporating the peak-to-valley smoothing benefit is established. Finally, the effectiveness of the proposed optimization model is verified by using the KKT condition and the big M method to evaluate this two-layer optimization problem as a single-layer optimization problem. Comparative examples show that the proposed two-layer optimization method can take advantage of the complementarity of air conditioning and electric vehicles to improve the income of load aggregators. Moreover, the proposed method can effectively reduce the load peak-to-valley difference and load fluctuation of the distribution network by introducing the peak-to-valley smoothing benefit model.

Suggested Citation

  • Sichen Shi & Peiyi Wang & Zixuan Zheng & Shu Zhang, 2024. "Two-Layer Optimization Strategy of Electric Vehicle and Air Conditioning Load Considering the Benefit of Peak-to-Valley Smoothing," Sustainability, MDPI, vol. 16(8), pages 1-16, April.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:8:p:3207-:d:1374038
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    References listed on IDEAS

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    1. Wang, Qi & Huang, Chunyi & Wang, Chengmin & Li, Kangping & Xie, Ning, 2024. "Joint optimization of bidding and pricing strategy for electric vehicle aggregator considering multi-agent interactions," Applied Energy, Elsevier, vol. 360(C).
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    3. Dadashi, Mojtaba & Haghifam, Sara & Zare, Kazem & Haghifam, Mahmoud-Reza & Abapour, Mehdi, 2020. "Short-term scheduling of electricity retailers in the presence of Demand Response Aggregators: A two-stage stochastic Bi-Level programming approach," Energy, Elsevier, vol. 205(C).
    4. Qifen Li & Yihan Zhao & Yongwen Yang & Liting Zhang & Chen Ju, 2022. "Demand-Response-Oriented Load Aggregation Scheduling Optimization Strategy for Inverter Air Conditioner," Energies, MDPI, vol. 16(1), pages 1-15, December.
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