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

Sichen Shi, Peiyi Wang, Zixuan Zheng and Shu Zhang ()
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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

Sustainability, 2024, vol. 16, issue 8, 1-16

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.

Keywords: air conditioning load; demand response; double-layer optimization; electric vehicle load; KKT conditions; peak-to-valley smoothing benefits (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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